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EP4591336A1 - Dispositif de traitement de données de mesure pour des transformateurs d'huile et système de mesure - Google Patents

Dispositif de traitement de données de mesure pour des transformateurs d'huile et système de mesure

Info

Publication number
EP4591336A1
EP4591336A1 EP23734158.1A EP23734158A EP4591336A1 EP 4591336 A1 EP4591336 A1 EP 4591336A1 EP 23734158 A EP23734158 A EP 23734158A EP 4591336 A1 EP4591336 A1 EP 4591336A1
Authority
EP
European Patent Office
Prior art keywords
oil
transformer
measurement data
processing device
transformers
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP23734158.1A
Other languages
German (de)
English (en)
Inventor
Rajkiran Kumar
Maliheh Haghgoo
Florian FECHER
Eugenio SCIONTI
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
EOn SE
Original Assignee
EOn SE
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by EOn SE filed Critical EOn SE
Publication of EP4591336A1 publication Critical patent/EP4591336A1/fr
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
    • H01F27/00—Details of transformers or inductances, in general
    • H01F27/08—Cooling; Ventilating
    • H01F27/10—Liquid cooling
    • H01F27/12—Oil cooling
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50—Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/62—Testing of transformers
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0286—Modifications to the monitored process, e.g. stopping operation or adapting control
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01F—MAGNETS; INDUCTANCES; TRANSFORMERS; SELECTION OF MATERIALS FOR THEIR MAGNETIC PROPERTIES
    • H01F27/00—Details of transformers or inductances, in general
    • H01F27/40—Structural association with built-in electric component, e.g. fuse
    • H01F27/402—Association of measuring or protective means
    • H01F2027/404—Protective devices specially adapted for fluid filled transformers

Definitions

  • the present disclosure relates to a measurement data processing device for processing oil measurement data from a plurality of oil transformers and a measurement system comprising a measurement data processing device and a plurality of oil transformer measurement modules.
  • Electric oil transformers are power transformers that are mostly used in power distribution networks. Such oil transformers are known, for example, from DE202008017356U1.
  • Oil transformers include an oil-filled transformer tank in which the transformer core with primary and secondary windings is arranged. For insulation, the primary and secondary windings can be wrapped with cellulose paper.
  • the oil serves as an electrical insulation medium and as a cooling medium to dissipate heat loss generated during transformer operation. Depending on the operating oil temperature, the oil increases and decreases in volume. This is also referred to as the oil transformer “breathing”.
  • Oil transformers usually include an oil expansion vessel arranged above the transformer tank and connected to the transformer tank via a flow channel. With the help of the oil expansion vessel, changes in the volume of the oil can be compensated for.
  • the oil expansion vessel is used to hold a volume of oil that arises due to the thermal expansion of the oil during temperature fluctuations in the transformer due to changes in load or changes in ambient temperature.
  • a compressible membrane filled with air can be arranged inside the oil expansion vessel. Depending on the expansion state of the oil in the transformer, the membrane is compressed, with the interior of the transformer tank, the oil expansion vessel and the flow channel forming a closed system.
  • a magnetic oil level indicator (MOG) can be used to monitor the oil level in the oil conservator.
  • the oil transformer As the oil transformer ages, the oil becomes contaminated by moisture and fiber materials in the insulating material of the windings. In addition, dissolved gases resulting from chemical reactions in the oil can contaminate the oil. To one To ensure safe operation and avoid operational interruptions or power outages, the oil must be checked at regular intervals and replaced if necessary.
  • Oil monitoring is typically done in one of the following ways: An oil sample is manually removed from the transformer and sent to a laboratory for analysis. Tests of the insulation resistance and the dielectric breakdown voltage of the oil are then carried out in the laboratory. Furan analysis can also be carried out in the laboratory. Alternatively, it is known to analyze the oil at regular intervals in a measuring device. Gas chromatography can be carried out, but has the disadvantage that it is time-consuming and costly and must be carried out by a specialist. Furthermore, photoacoustic spectroscopy can be carried out.
  • known techniques for monitoring the oil in an oil transformer also have the following disadvantages: some techniques cannot be retrofitted and require a relatively high level of personnel to install and configure the measuring devices. It is often necessary that the transformer is not operated during the installation of the measuring devices and must be switched off.
  • known measurement techniques can be influenced by electromagnetic pulses. Measuring sensors that are attached directly to the surface of the main tank of the transformer can be influenced by partial discharges. Such partial discharges can generate electromagnetic pulses in the ultra-high frequency range (300 MHz to 3 GHz), which can lead to measurement errors or measurement inaccuracies in the measuring devices. The ambient and/or surface temperature of the transformer can also cause problems.
  • Electronic measuring devices for example operated near the leg and yoke area of the transformer, are exposed to high temperatures (oil temperature rise due to high voltage loads). The increased temperature can cause the measuring devices to no longer function properly, which can lead to measurement errors or measurement inaccuracies or even measuring device failures.
  • Measuring devices that collect oil samples from an outlet valve at the bottom of the oil transformer main tank may also be mixed with contaminated particles. Fibers and moisture from the insulating materials can combine with the oil and cause residue to settle at the bottom of the transformer. Oil samples collected in this area are often contaminated by residues, which can lead to inaccurate analysis of oil quality.
  • Another disadvantage of known techniques for monitoring the oil quality in an oil transformer is that a large number of oil transformers in one Energy supply network are used, but the oil quality of each oil transformer of the large number of oil transformers is only considered individually.
  • the present disclosure is based on the object of providing an improved technique for processing oil measurement data from oil transformers.
  • a measurement data processing device for processing oil measurement data from a plurality of oil transformers, which comprises the following: a first communication unit which is set up to receive oil measurement data from the plurality of oil transformers, the oil measurement data comprising information relating to an oil quality of the oil transformers, a second communication unit configured to receive transformer load data of the plurality of oil transformers, a storage device configured to store the received oil measurement data and transformer load data as time series data, and a processing device configured to process the stored oil measurement data and transformer load data .
  • the measurement data processing device can be a cloud computer.
  • the first and second communication units can be communication means that are set up to communicate with a large number of transmission modules via the Internet and/or a wireless network (for example a mobile radio network).
  • the first communication unit can be set up to communicate with a large number of oil transformer measurement modules.
  • the second communication unit can be set up to communicate via the Internet and/or a wireless network (for example a mobile phone network) with devices for measuring power flows in substations, digital logbooks and/or intelligent devices (smart meters) connected to oil transformers communicate.
  • the second communication unit can also be set up to communicate with the large number of oil transformer measurement modules.
  • the first communication unit and the second communication unit can also be designed as a communication unit.
  • the storage device can be a database in the cloud that is set up to store a large number of measurement data as time series data.
  • the processing device can also be implemented in the cloud and set up to support the first communication unit, the second communication unit and the Control storage device. For example, this is the case
  • Processing device to a cloud computing and control device.
  • the received oil measurement data is data from which an oil quality of oil transformers, in particular of oil transformers with an oil expansion vessel, can be derived.
  • the oil transformer can be any type of oil transformer that has an oil expansion vessel to compensate for changes in the volume of the transformer oil.
  • the shape of the oil expansion tank is not limited to a specific shape.
  • the oil expansion vessel can be designed, for example, as a cylinder, cuboid, cube or prism.
  • the oil expansion vessel can be an expansion radiator, an expansion vessel with a nitrogen cushion or with a rubber bag or rubber membrane. In particular, there can be a compressible membrane in the oil expansion vessel, which is compressed or decompressed depending on the oil level in the oil expansion vessel.
  • the transformer with core and coils is in an oil bath in the transformer tank.
  • a Buchholz protection relay When connecting the transformer tank to the first opening in the oil expansion vessel through the flow channel, a Buchholz protection relay can be provided in the flow channel. Further components, such as various cavities, can be provided in the flow channel.
  • the transformer tank, the flow channel and/or the oil expansion vessel can be steel structures.
  • Oil quality can be quality characteristics defined in the IEC 60422 standard.
  • the processing device can be set up to use the received data to obtain information regarding the color, water content and/or acid content of the oil, based on which a statement can be made about the quality of the oil in the oil transformer.
  • the data is used to determine the refractive index and/or loss factor of the oil.
  • the received transformer load data of the plurality of oil transformers may be the electrical power flowing through the respective oil transformer. Since the oil measurement data and the transformer load data are stored as time series data, i.e. over time, it is possible to perform history-based data processing.
  • the processing device may further be configured to classify the plurality of oil transformers into a first oil transformer classification based on the stored oil measurement data and stored transformer load data. So, through the classification, each of the variety of oil transformers can be classified into a group, making it possible to determine the oil quality and capacity of each oil transformer in to set a ratio.
  • the classification can in particular take place in real time. This makes it possible to use the oil transformers according to their classification for network load optimization, in particular for network stabilization. It is therefore conceivable that only oil transformers that have been classified into a specific group are used or switched on in substations and/or transformer stations that are critical for network stability.
  • the measurement data processing device may further comprise a first output device configured to send information regarding the first oil transformer classification to a first control device for controlling a load flow in a power supply network that includes the plurality of oil transformers.
  • the first output device can be, for example, a communication device that is set up to send control data to the first control device.
  • the first control device can be a load control technology (power electronics) in a substation and/or transformer station, which controls electrical loads in the energy supply network depending on the information received. Since the measurement data processing device has stored the information from a large number of oil transformers, it is possible to optimize overall control of the energy flow in the energy supply network. For example, it is possible to individually control the power flows of individual oil transformers in a power supply network in order to optimize the network stability in the power supply network. The control and optimization can take place in the processing device.
  • the processing device may further be configured to carry out a load flow calculation of high-voltage lines and transformer stations in a power supply network that includes the plurality of oil transformers based on the first oil transformer classification.
  • the load flow calculation can be used for planning and/or analyzing the energy supply network. With the load flow calculation, complex operating voltages at network nodes can be determined, complex power flows across network branches can be calculated based on this and power controls can be carried out accordingly. With the help of the load flow calculation, failure situations in particular can be simulated.
  • the second communication unit can further be set up to receive transformer performance measurement data from the plurality of oil transformers, the storage device can further be set up to store the received transformer performance measurement data as time series data, and the processing device can further be set up to to determine irregularities of the large number of oil transformers based on the stored oil measurement data, transformer load data and / or transformer performance measurement data.
  • the transformer performance measurement data is data regarding the performance of the transformer over time. In particular, taking into account a constant load (kV) of an oil transformer, the performance of the oil transformer is measured over time.
  • transformer performance can be assessed using a ratio test, which measures the induced voltages on the high and low voltage terminals of transformers and then calculates the actual transformer voltage. Ratio measurements are taken at all taps and calculated by dividing the value of the induced voltage by the value of the applied voltage. When testing ratios on three-phase transformers, the ratio is calculated for one phase at a time.
  • an oil transformer is reported as possibly faulty. Accordingly, this oil transformer can be serviced in advance, switched off immediately, in particular switched off remotely, and / or the power flow path can be bypassed.
  • the processing device may further be configured to determine types of irregularities of the plurality of oil transformers based on the particular irregularities of the plurality of oil transformers.
  • the types of irregularities may include transformer insulation irregularities and/or transformer arcing irregularities.
  • data profiles so-called “fingerprints” of past irregularities, ie types of irregularities, can be created and these can be compared with current data, whereby if there is a match, it can be recognized which type of irregularity is currently occurring, ie, in real time, on an oil transformer.
  • This oil transformer can be serviced in advance, switched off immediately, in particular switched off remotely, and / or bypassed in terms of the power flow path.
  • an artificial intelligence (AI)-based system can be used in the processing device.
  • based learning module can be provided, with the help of which the determination of the types of irregularities is optimized based on historical data.
  • the measurement data processing device can further comprise a third communication unit, which is set up to receive environmental data and / or geographical data relating to the plurality of oil transformers, wherein the storage device is set up to store the received environmental data and / or geographical data and the processing device is set up to classify the plurality of oil transformers into a second oil transformer classification based on the stored oil measurement data, transformer load data, environmental data and / or geographical data.
  • the second oil transformer classification can be provided to managers as recommendation data. Managers can then select the model and brand of transformers based on the recommended data.
  • the third communication unit can be set up to communicate with devices for determining environmental data and/or geographical data via the Internet and/or a wireless network (for example a mobile phone network).
  • the third communication unit can also be set up to communicate with the plurality of oil transformer measurement modules.
  • the first, second and/or third communication units can be designed as a communication unit.
  • the environmental data can be, for example, weather, humidity, solar radiation and/or temperature data.
  • the geographical data can be, for example, longitude and latitude coordinates. For example, if two oil transformers of different types A and B are located in a place with low temperature and both oil transformers A and B work without any problems at a constant load, but the oil transformer A has problems with oil condensation due to the low temperature, then this problem can occur in the storage device can be stored.
  • the storage device may be a cloud storage device, or the storage device may be in communication with a cloud storage device. Using the historical data recorded (including problems), Oil Transformer A (i.e. Type A) can then be excluded from a low temperature location in the future.
  • the processing device can be set up to calculate predictions in real time regarding a service life of components of the plurality of oil transformers based on the stored oil measurement data and transformer load data.
  • the processing device can be set up to calculate the predictions based on deteriorations in oil quality in the oil measurement data.
  • the deterioration of oil quality is proportional to the electrical load of the oil transformer. For example, it can be taken into account whether a deterioration in the oil quality occurs in the short term, for example in the range of seconds or minutes, exponentially, and/or randomly. This can be done by comparing whether the oil measurement data exceeds specified threshold values.
  • the measurement data processing device can comprise a fourth communication unit which is set up to receive data relating to a tensile strength of paper insulators and/or arcs in windings of the plurality of oil transformers, wherein the storage device is set up to receive the received data relating to the tensile strength of paper insulators and/or or arcs in windings of the plurality of oil transformers, and the processing device is adapted to calculate the predictions based on the data regarding the tensile strength of paper insulators and / or arcs in windings of the plurality of oil transformers.
  • the fourth communication unit can be set up to communicate via the Internet and/or a wireless network (for example a cellular network) with devices for determining data regarding a tensile strength of paper insulators and/or arcs in windings of the plurality of oil transformers.
  • the fourth communication unit can also be set up to communicate with the plurality of oil transformer measurement modules.
  • the first, second, third and/or fourth communication units can also be designed as a communication unit.
  • the data regarding the tensile strength of paper insulators and/or arcs in windings of the large number of oil transformers can be determined, for example, by corresponding sensors in the oil transformers. Accordingly, the service life of components, such as windings and insulation, of the large number of oil transformers can be predicted and components that fail unexpectedly soon can be replaced. It can also be checked here whether the data received exceeds specified threshold values.
  • the measurement data processing device can comprise a fifth communication unit which is set up to receive information regarding transformer failures and/or power outages of the plurality of oil transformers, wherein the storage device is set up to store the received information regarding transformer failures and/or power outages, the processing device is designed to classify the plurality of oil transformers into a third oil transformer classification based on the stored oil measurement data, transformer load data and/or the information regarding transformer failures and/or power outages, and the measurement data processing device comprises a second output device which is designed to output information regarding the third oil transformer classification to a second control device for controlling a load flow in a power supply network, which includes the plurality of Includes oil transformers to send.
  • a fifth communication unit which is set up to receive information regarding transformer failures and/or power outages of the plurality of oil transformers
  • the storage device is set up to store the received information regarding transformer failures and/or power outages
  • the processing device is designed to classify the plurality of oil transformers into a third oil transformer classification based on the stored oil measurement
  • the second output device can be, for example, a communication device that is set up to send control data to the second control device.
  • the first control device and the second control device can be the same control device.
  • the third oil transformer classification can be made available to network managers as recommendation data. The network managers can then select the model and brand of the transformers based on the recommended data.
  • the fifth communication unit can be set up to communicate via the Internet and/or a wireless network (for example a cellular network) with devices for determining information regarding transformer failures and/or power outages of the plurality of oil transformers.
  • the fifth communication unit can also be set up to communicate with the large number of oil transformer measurement modules.
  • the first, second, third, fourth, and/or fifth communication units can further be designed as a communication unit.
  • the first to fifth communication units can be designed as software, i.e. program code, which executes predetermined commands to implement communication.
  • the present disclosure further relates to a measurement system comprising a measurement data processing device, in particular one of the measurement data processing devices described above, and a plurality of oil transformer measurement modules, each oil transformer measurement module comprising a device for obtaining oil measurement data and a module communication unit, the oil measurement data containing information relating to a Include oil quality of the oil transformers and the module communication unit is set up to send the oil measurement data to the first communication unit of the measurement data processing device.
  • the device for obtaining oil measurement data may include a cell for receiving oil, means for conveying oil from the oil conservator into the cell (e.g. an electric pump with a hose), an antenna (e.g. a Vivaldi antenna) for applying the oil to the cell Cell with a measurement signal and a sensor electrically connected to the antenna (for example a sensor comprising an ultra-wideband baseband transmitter, an ultra-wideband baseband receiver and a digital backend) for measuring an oil quality of the oil transformer.
  • the sensor can in particular be set up to generate signals, in particular electromagnetic signals, with a frequency of 1 Hz to 3000 GHz and to send them to the antenna, which sends the signals into the oil.
  • Signals with a frequency of 1 Hz to 3000 GHz are then received by the sensor via the antenna.
  • the interaction of electromagnetic waves with frequencies from 1 Hz to 3000 GHz have the benefits that they have for people in general do not cause any health risks and still provide good measurement results. Even better measurement results can be achieved if the sensor is set up to generate, send and receive signals with a frequency of 3.1 GHz to 10.6 GHz.
  • the sensor can be set up to be operated in the ultra-wideband (UWB) range.
  • UWB ultra-wideband
  • the means for conveying oil from the oil conservator into the cell may include a hose disposed at least partially within the oil conservator and/or a pipe having a first end extending into the oil in the oil conservator and a second end connected to the cell and a pump for pumping the oil from the oil conservator into the cell.
  • the pump is preferably arranged outside the oil expansion vessel. With this embodiment, an oil quality determination can be realized with minimal oil contact. If the oil is pumped through the cell, a further hose and/or a further pipe is also provided which pumps the oil back into the oil expansion vessel and/or a collecting vessel.
  • the module communication units of the plurality of oil transformer measurement modules can be set up to communicate with the first communication unit of the measurement data processing device via an edge or fog layer that uses a hyper-secure gateway. Furthermore, it is conceivable that each of the first to fifth communication units communicate with the oil transformer measuring modules via the hyper-secure gateway.
  • the measuring system can further comprise a plurality of oil transformers, in particular each with an oil expansion vessel, with an oil transformer measuring module of the plurality of oil transformer measuring modules for measuring the oil quality of an oil transformer being detachably attached to or in each oil transformer.
  • Each oil transformer measuring module can also be set up to measure the oil quality of the oil transformer using measurement signals with a frequency of 1 Hz to 3000 GHz, preferably with a frequency of 3.1 GHz to 10.6 GHz.
  • the oil transformer measurement module can include a non-contact near-field sensor for dielectric spectroscopy.
  • the oil transformer measurement module may also be configured to perform broadband dielectric spectroscopy (BDS).
  • the oil transformer and/or the oil transformer measuring module can further comprise a temperature, gas and/or vibration sensor.
  • the temperature, gas and/or vibration sensor can be arranged on or in the oil expansion vessel or the oil transformer measuring module.
  • the sensor can be designed to detect abnormalities in the gas generated by the oil transformer.
  • the sensor can also comprise additional sensor and electronic components that provide a regular operation and a state of the oil transformer. Accordingly, the module communication unit can be configured to send these measurement data to the first communication unit of the measurement data processing devices.
  • FIG. 1 shows a schematic representation of an exemplary embodiment of a measuring system with a measurement data processing device and a plurality of oil transformer measurement modules;
  • Fig. 2 shows a schematic representation of an embodiment of an oil transformer
  • FIG. 3 shows a schematic representation of an exemplary embodiment of an oil expansion vessel with an oil transformer measuring module
  • Fig. 4 shows a schematic representation of an exemplary embodiment of an oil transformer measuring module.
  • FIG. 1 shows a schematic representation of an exemplary embodiment of a measuring system with a measurement data processing device 10 and a large number of oil transformer measuring modules 60.
  • the measurement data processing device 10 is set up to communicate with a large number of oil transformer measurement modules 60, of which four modules 60 are shown as an example, via an edge or fog layer that uses a hyper-secure gateway (85).
  • the oil transformer measurement modules 60 are attached to respective oil transformers 70.
  • the oil transformers 70 are part of an electrical energy supply network (not shown in Fig. 1).
  • the measurement data processing device 10 comprises a first communication unit 21 configured to receive oil measurement data of the plurality of oil transformers 70.
  • the oil measurement data includes information relating to an oil quality of the oil transformers 70.
  • the measurement data processing device 10 further comprises a second communication unit 22 configured to receive transformer load data of the plurality of oil transformers 70, a storage device 30 configured to store the received oil measurement data and transformer load data as time series data, and a processing device 40 configured to process the stored oil measurement data and transformer load data.
  • the processing device 40 is further configured to classify the plurality of oil transformers 70 into a first oil transformer classification based on the stored oil measurement data and transformer load data.
  • the measurement data processing device 10 further comprises a first output device 51, which is set up to send information regarding the first oil transformer classification to a control device 100 for controlling a load flow in the power supply network, which includes the plurality of oil transformers 70.
  • the control device 100 is a load control technology in a transformer substation (not shown in Fig. 1) that controls electrical loads in the power grid depending on the control commands received.
  • the processing device 40 is further configured to carry out a load flow calculation of high-voltage lines and transformer stations in the power supply network with the plurality of oil transformers 70 based on the first oil transformer classification.
  • the second communication unit 22 can be set up to communicate via the Internet, a mobile phone network and/or the gateway 85 with devices for measuring power flows in substations, digital logbooks and/or intelligent devices that are connected to the oil transformers 70 (in Fig. 1 not shown) to communicate to receive the transformer load data of the plurality of oil transformers 70.
  • the second communication unit 22 can be set up to communicate with the multitude of oil transformer measurement modules via the gateway 85 60 to communicate to receive the transformer load data of the plurality of oil transformers 70.
  • the second communication unit 22 is set up to receive transformer performance measurement data of the plurality of oil transformers 70
  • the storage device 30 is set up to store the received transformer performance measurement data as time series data
  • the processing device 40 is set up to do so , based on the stored oil measurement data, transformer load data and / or transformer performance measurement data, irregularities of the plurality of oil transformers 70 to determine.
  • the processing device 40 is particularly adapted to determine types of irregularities of the plurality of oil transformers 70 based on the specific irregularities of the plurality of oil transformers 70.
  • the types of irregularities may include, for example, transformer insulation irregularities and/or transformer arcing irregularities.
  • the measurement data processing device 10 includes a third communication unit 23, which is set up to receive environmental data and / or geographical data relating to the plurality of oil transformers 70, wherein the storage device 30 is set up to store the received environmental data and / or geographical data and the Processing device 40 is set up to classify the plurality of oil transformers 70 into a second oil transformer classification based on the stored oil measurement data, transformer load data, environmental data and / or geographical data.
  • the processing device 40 can provide recommendation data to network managers, based on which the network managers can select the model and brand of the transformers based on the recommended data.
  • the measurement data processing device 10 includes a fourth communication unit 24, which is set up to receive data regarding a tensile strength of paper insulators and / or arcs in windings of the plurality of oil transformers 70, wherein the storage device 30 is set up to receive the received data regarding the tensile strength of paper insulators and/or arcs in windings of the plurality of oil transformers 70, and the processing device 40 is configured to calculate the predictions based on the data regarding the tensile strength of paper insulators and/or arcs in windings of the plurality of oil transformers 70.
  • the processing device 40 is set up to make real-time predictions regarding a service life of components of the plurality of components based on the stored oil measurement data and transformer load data Calculate oil transformers 70.
  • the processing device 40 is set up to calculate the predictions based on deteriorations in oil quality in the oil measurement data.
  • the measurement data processing device 10 comprises a fifth communication unit 25, which is set up to receive information regarding transformer failures and/or power outages of the plurality of oil transformers, wherein the storage device 30 is set up to store the received information regarding transformer failures and/or power outages, and the processing device 40 is configured to classify the plurality of oil transformers into a third oil transformer classification based on the stored oil measurement data, transformer load data and/or the information regarding transformer failures and/or power outages
  • the measurement data processing device 10 comprises a second output device 52 which is configured to send information relating to the third oil transformer classification to the control device 100 for controlling a load flow in a power supply network comprising the plurality of oil transformers 70.
  • the hyper-secure gateway 85 is provided for secure communication between the measurement data processing device 10 and the large number of oil transformer measurement modules 60. Therefore, a multi-tiered architecture is considered that includes an LoT, an edge/fog, and a cloud layer to describe a decentralized data processing structure that sits between the cloud and the devices that produce data. This flexible structure allows users to place resources, including applications and the data they produce, in logical locations to improve performance.
  • the oil transformer measuring modules 60 are located in an Internet of Things (loT) layer
  • the hyper-secure gateway 85 is located in an edge/fog layer
  • the measurement data processing device 10 is located in a cloud layer.
  • Each of the first to fifth communication units 21 to 25 can be set up to communicate with the plurality of oil transformer measuring modules 60 via the hyper-secure gateway 85.
  • the oil transformer measurement modules 60 act in the IoT layer as an LoT perception layer in an intelligent network.
  • the Edge/Fog layer enables secure communication between the IoT layer and the cloud layer. To do this, the Edge/Fog layer is set up to perform authorizations, double certificate authentications, and data preprocessing to detect anomalies. Furthermore, a high availability and reliability of a network/transformer monitoring method is achieved guaranteed. Furthermore, it is possible to perform double virtualization since the virtualization technology enables this layer to migrate from one connected environment to another and avoid cascading bad data through the migration of the system. This is done by migrating functions and data from dedicated hardware that has been compromised to other hardware.
  • the cloud layer is used to provide applications for monitoring, historical data analysis, artificial intelligence-based applications, and visualizations.
  • TCP Transmission Control Protocol
  • UDP User Datagram Protocol
  • IP Internet Protocol
  • networks with extremely low latency such as the 5th generation (5G) of cellular technology or future-proof cellular IoT standards such as LTE-M or narrowband IoT, can be used for the protocols.
  • An artificial intelligence (AI) module (not shown in FIG. 1) can also be provided in the measurement data processing device 10, with the help of which the data stored in the storage device 30 can be optimized. Furthermore, AI and machine learning functions can be provided for other communication units.
  • the oil transformer 70 includes a transformer tank 71 and an oil expansion vessel 72.
  • a flow channel 73 connects the transformer tank 71 with an opening in the oil expansion vessel 72.
  • the opening is arranged at a lower end of the oil expansion vessel 72.
  • the transformer tank 71 includes a corresponding opening.
  • the transformer 74 is mounted on standing blocks 75 in an oil bath 78.
  • the oil expansion vessel 72 is shown in FIG. 2 as an example above the transformer tank 71 in a cylindrical shape. Other shapes (e.g. cuboid, cube or prism) and arrangements (at the same height as the transformer tank 71, further above, etc.) of the oil expansion vessel 72 are conceivable.
  • the oil expansion vessel 72 is used to hold oil 78 due to thermal expansion of the oil 78 during temperature fluctuations in the transformer 74, caused by load changes or changes in the ambient temperature. As indicated by the surface 79 of the oil in the oil expansion vessel 72, the oil level in the oil expansion vessel 72 changes accordingly.
  • the oil in the oil expansion vessel 72 compresses a membrane 80 as a function of the oil level in the oil expansion vessel 72, which again when the oil level 79 falls is decompressed.
  • a pressure relief valve 81 is provided in an opening for releasing excess gas.
  • an oil expansion vessel of the Atmoseal type or another type can also be provided.
  • FIG. 3 shows a schematic representation of an exemplary embodiment of an oil expansion vessel 72 with an oil transformer measuring module.
  • the oil expansion vessel 72 is the oil expansion vessel 72 shown in FIG. 2, with the same reference numbers as in FIGS. 2 and 3 concern the same elements.
  • the oil transformer measuring module comprises a cell
  • the means 91, 92 for conveying oil 78 from the oil expansion vessel 72 into the cell 90 comprise a hose arranged at least partially in the oil expansion vessel 72
  • the Hose 91 having a first end extending into the oil 78 in the oil conservator 72 and a second end connected to the cell 90, and an electric pump 92 for pumping the oil 78 from the oil conservator 72 into the cell 90.
  • the Hose 91 extends through an opening 95, with the cell 90 being disposed outside the oil expansion vessel 72 at the opening 95. 3 shows a minimum oil level 79 in the oil expansion vessel 72, the hose 91 being designed such that the first end of the hose 91 always reaches below the minimum oil level 79.
  • the pump 92 pumps oil 78 from the oil expansion vessel 72 into the cell 90. It is also conceivable that the pump 92 pumps the oil 78 through the cell 90, i.e., the oil 78 is returned to the oil expansion vessel 72.
  • the cell 90 is arranged in the oil expansion vessel 72, in particular above a maximum oil level of the oil expansion vessel 72.
  • the antenna 93 is, for example, attached to an outer wall of the cell 90 and electrically connected to the sensor 94 via a cable. In this exemplary embodiment, the antenna 93 is designed as a meandering transceiver Vivaldi antenna.
  • the sensor 94 includes a baseband transmitter 96, a baseband receiver 97, a digital backend 98 and a module communication unit 62.
  • the baseband transmitter 96 generates pulsed excitation signals for the antenna 93, with reflected signals being forwarded to the baseband receiver 97.
  • the digital backend 98 controls the sending and receiving of the signals by the baseband transmitter 96 and the baseband receiver 97.
  • the sensor 94 is set up to send pulsed signals with a frequency of 1 Hz to 3000 GHz via the antenna 93 and to recieve.
  • the system preferably operates in the ultra-broadband range, so that the sensor 94 is set up to send and receive signals with a frequency of 3.1 GHz to 10.6 GHz via the antenna 93.
  • the sensor 94 sends and receives measurement signals via the antenna 93, with the help of which the quality of the oil 78 in the oil expansion vessel 72 can be determined.
  • the module communication unit 62 is set up to communicate with a measurement data processing device 10, in particular the measurement data processing device 10 shown in FIG. 1.
  • a temperature, gas and/or vibration sensor 99 is also arranged in the oil expansion vessel 72.
  • the temperature, gas and/or vibration sensor 99 is set up to send measurement data to the sensor 94.
  • the temperature, gas and/or vibration sensor 99 can include a communication unit that enables communication with the sensor 94, in particular the module communication unit 62.
  • the communication unit of the sensor 99 can be arranged at the opening 95 and, for example, provide a wired connection to the sensor 94. If the temperature, gas and/or vibration sensor 99 is designed as a gas sensor, it can be set up to detect abnormalities in the gas generated by the oil transformer 70.
  • the sensor 99 may also include additional sensor and electronic components that monitor regular operation and condition of the oil transformer 70.
  • the oil transformer measuring module 60 can be one of the ones shown in FIGS. 1 and 3 act as oil transformer measurement modules shown.
  • the oil transformer measurement module 60 includes a device for obtaining oil measurement data 61 and a module communication unit 62.
  • the device for obtaining oil measurement data 61 includes a cell 90 for receiving oil from an oil conservator, means 91, 92 for conveying oil from the oil conservator in the cell 90, an antenna 93 for applying a measurement signal to the oil in the cell 90, and a sensor 94 electrically connected to the antenna 93 for measuring an oil quality of an oil transformer.
  • the means for conveying oil from the oil conservator into the cell 90 includes an electric pump 92 and a hose 91 connected to the cell 90.

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Housings And Mounting Of Transformers (AREA)

Abstract

L'invention se rapporte à un dispositif de traitement de données de mesure (10) pour traiter des données de mesure d'huile d'une pluralité de transformateurs d'huile (70), et à un système de mesure comprenant un dispositif de traitement de données de mesure (10) et une pluralité de modules de mesure de transformateur d'huile (60). Le dispositif de traitement de données de mesure (10) comprend une première unité de communication (21) qui est conçue pour recevoir des données de mesure d'huile de la pluralité de transformateurs d'huile (70), les données de mesure d'huile contenant des informations se rapportant à la qualité d'huile des transformateurs d'huile (70), une seconde unité de communication (22) qui est conçue pour recevoir des données de charge de transformateur de la pluralité de transformateurs d'huile (70), un dispositif de mémoire (30) qui est conçu pour stocker les données de mesure d'huile reçues et les données de charge de transformateur sous la forme de données de série chronologique, et un dispositif de traitement (40) qui est conçu pour traiter les données de mesure d'huile et les données de charge de transformateur stockées.
EP23734158.1A 2022-09-21 2023-06-14 Dispositif de traitement de données de mesure pour des transformateurs d'huile et système de mesure Pending EP4591336A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102022124187.4A DE102022124187A1 (de) 2022-09-21 2022-09-21 Messdatenverarbeitungsvorrichtung für Öltransformatoren und Messsystem
PCT/EP2023/065888 WO2024061486A1 (fr) 2022-09-21 2023-06-14 Dispositif de traitement de données de mesure pour des transformateurs d'huile et système de mesure

Publications (1)

Publication Number Publication Date
EP4591336A1 true EP4591336A1 (fr) 2025-07-30

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EP23734158.1A Pending EP4591336A1 (fr) 2022-09-21 2023-06-14 Dispositif de traitement de données de mesure pour des transformateurs d'huile et système de mesure

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EP (1) EP4591336A1 (fr)
DE (1) DE102022124187A1 (fr)
WO (1) WO2024061486A1 (fr)

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Publication number Priority date Publication date Assignee Title
CN120389506A (zh) * 2025-03-19 2025-07-29 广东立胜综合能源服务有限公司 一种配电变压器在线健康诊断系统及方法

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE202008017356U1 (de) 2008-06-06 2009-06-10 Maschinenfabrik Reinhausen Gmbh Ölgefüllter Leistungstransformator mit Stufenschalter
US10310453B2 (en) * 2011-04-15 2019-06-04 Abb Schweiz Ag Dynamic assessment system for high-voltage electrical components
US10002701B2 (en) * 2012-11-19 2018-06-19 Abb Schweiz Ag Profiling transformer of power system
KR101438158B1 (ko) * 2013-03-21 2014-09-05 연세대학교 산학협력단 변압기의 수명 예측 방법 및 장치
EP3770617B1 (fr) * 2019-07-26 2023-09-06 Maschinenfabrik Reinhausen GmbH Procede et systeme de surveillance d'au moins un systeme inductif équipement de fonctionnement
US11719760B2 (en) * 2020-04-08 2023-08-08 Hitachi Energy Switzerland Ag Probabilistic determination of transformer end of life
DE102020119068A1 (de) * 2020-07-20 2022-01-20 E.ON Digital Technology GmbH Verfahren zur vernetzten Überwachung von wenigstens einem Transformator

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DE102022124187A1 (de) 2024-03-21

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