WO2024074391A1 - Procédé d'alimentation d'un réseau énergétique - Google Patents
Procédé d'alimentation d'un réseau énergétique Download PDFInfo
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- WO2024074391A1 WO2024074391A1 PCT/EP2023/076866 EP2023076866W WO2024074391A1 WO 2024074391 A1 WO2024074391 A1 WO 2024074391A1 EP 2023076866 W EP2023076866 W EP 2023076866W WO 2024074391 A1 WO2024074391 A1 WO 2024074391A1
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
- H02J3/381—Dispersed generators
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/004—Generation forecast, e.g. methods or systems for forecasting future energy generation
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/22—The renewable source being solar energy
- H02J2300/24—The renewable source being solar energy of photovoltaic origin
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
- H02J2300/20—The dispersed energy generation being of renewable origin
- H02J2300/28—The renewable source being wind energy
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/003—Load forecast, e.g. methods or systems for forecasting future load demand
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for AC mains or AC distribution networks
- H02J3/28—Arrangements for balancing of the load in a network by storage of energy
- H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
Definitions
- the invention relates to the energy supply of an energy network by means of an intermittent energy source and an energy storage system.
- the electricity network manager requires, from the operators of energy plants located on the network, commitments concerning the amount of energy that the plants plan to supply to the network over predetermined periods of time during a day, so that the manager can have a forecast of the energy that will be available at each moment on the network.
- Each operator must then respect its commitments, by providing the network with the quantity of energy to which it has committed over each planned period of time during the day.
- an intermittent power source such as solar power
- the energy supplied to the power grid depends entirely on the availability of that power source, making it difficult to keep commitments without resorting to other means.
- a storage system such as batteries, is associated with the intermittent energy source to store part of the energy from the intermittent energy source and to discharge it into the electrical network at appropriate times.
- a solution from the state of the art is to unload the storage system as often as necessary, if the intermittent energy source is not sufficient, to so that at each moment the quantity of energy supplied to the network by the plant is equal to the quantity of energy to which the plant is committed over the current period of time.
- a disadvantage of this strategy is that it places enormous demands on the storage system for its unloading.
- the storage system wears out, it becomes less efficient, or even needs to be replaced.
- a storage system is only guaranteed by its manufacturer for a certain number of charges and discharges, a number beyond which any incident exposes the plant operator to uninsured damage.
- the invention aims in particular to make it possible to supply a predetermined quantity of energy to an energy network, by means of an intermittent energy source, while limiting the unloading of an energy storage system as much as possible.
- the subject of the invention is a method of supplying energy to an energy network, comprising, to supply the network by means of an intermittent energy source and an energy storage system, the following steps:
- the method comprises, before the step of supplying energy in the network, a step of determining an energy power to be supplied by the intermittent source, based on the optimal quantity of energy and not on the quantity of minimal energy.
- the power setpoint aims to use the intermittent source alone to try to achieve the optimal amount of energy at the future time.
- the method comprises a step of supplying, in the network, energy from the source of intermittent energy and energy from the storage system by discharging the storage system.
- the storage system is therefore used only in the case where it is identified that, in the future, the quantity of energy risks being lower not than the optimal quantity of energy but the minimum quantity of energy to be supplied. to the network.
- the method comprises a step of determining an energy power to be supplied from the intermittent energy source and from the discharge of the storage system, based on the minimum amount of energy to be achieved and not on the optimal amount of energy.
- the steps of determining the optimal quantity of energy and the minimum quantity of energy are implemented at the start of the period of time and in advance for each instant of the period of time, while the step of determining the hypothetical quantity of energy is implemented at regular intervals during this period of time by considering a quantity of past energy supplied to the network since the beginning of this period.
- the quantities to be respected are defined once and for all at the start of the period of time, then we gradually define the power instructions to be supplied to the network according to the situation with regard to these objectives.
- the method comprises, to determine the minimum and optimal quantities of energy at the start of the period of time and for each moment of this period, a step of constructing an affine line corresponding to the quantity of minimum energy at during this period and another affine line corresponding to the optimal quantity of energy during this period.
- these lines correspond to what would be quantities of energy supplied in a perfectly linear manner, that is to say in accordance with a constant power.
- the quantity of energy actually transmitted must be located at each moment between these lines to be close to the optimum and never below the minimum, so as to avoid excessive underproduction penalizing an operator, but while tolerating a certain underproduction to avoid too regular discharges from the storage system.
- the process comprises the following steps:
- the method comprises, to determine the energy power to be supplied to the network by the intermittent source, the following steps:
- the maximum quantity of energy also comes from an affine line constructed at the start of the time period.
- the hypothetical quantity of energy depends on the power available at a present moment from the intermittent energy source.
- the hypothetical quantity of energy is determined by considering that this available power will remain available for a predetermined time interval.
- an installation for supplying energy to an energy network comprising an intermittent energy source and an energy storage system configured to implement the method described above.
- the energy being electricity and the network being an electrical network
- the source comprises at least one photovoltaic panel and/or a wind turbine
- the storage system comprises at least one of the following elements:
- a battery preferably of the lithium-ion type
- a computer program comprising instructions which, when the program is executed by a computer, lead it to implement the steps of the method described above.
- a computer-readable recording medium comprising instructions which, when executed by a computer, lead it to implement the steps of the method described above.
- FIG. 1 is a diagram of an energy supply installation according to one embodiment of the invention.
- FIG. 2 is a flowchart of an energy supply process according to one mode of implementation of the invention.
- FIG. 3 is a graph illustrating a mode of implementation of the invention.
- FIG. 4 is a graph illustrating a mode of implementation of the invention.
- FIG. 5 is a graph illustrating a mode of implementation of the invention.
- FIG. 6 is a graph illustrating one mode of implementation of the invention.
- intermittent energy means energy whose availability varies over time without the possibility of control. This is for example the case of solar energy, available only during the day and depending on the clarity of the sky, or wind energy, available only in the presence of wind.
- intermittent energy source a system or device capable of providing energy whose flows correspond to the possible capture of this intermittent energy.
- this concerns in particular photovoltaic panels, which are capable of providing electrical energy corresponding to the solar energy flows received on the panels. It can also be a wind turbine, capable of providing electrical energy corresponding to the air flows received. Any intermittent energy source corresponding to this definition according to those skilled in the art is possible.
- FIG. 1 shows a power supply installation 1 for an electrical network 2, that is to say an electrical power plant. It will be referred to indifferently as “installation” or “central” 1.
- This power plant 1 includes a series of photovoltaic panels 3 and a series of 4 lithium-ion batteries for electrical energy storage.
- the panels 3 form an intermittent source of energy and the batteries 4 an energy storage system.
- This source 3 and this storage system 4 are connected to each other, the source 3 being able to transmit energy to the system 4.
- This source 3 and this storage system 4 are also connected to the electrical network 2 to provide electricity there. .
- the panels 3 are configured to transmit, upon instruction, to the electrical network 2 or to the batteries 4, electrical energy corresponding to the maximum of the solar energy flows that can be processed in real time by the panels, and the batteries 4 are configured to store energy coming from these panels 3, up to a predetermined maximum quantity of energy, and to discharge all or part of this energy into the electrical network 2, on setpoint.
- this source 3 and this system 4 are connected to computer means 5 comprising in particular a database 6 and two computer modules 7 and 8.
- computer module we designate one or more computer programs, recorded on a non-illustrated, computer-readable recording medium intended to ensure predetermined functionality.
- These means are connected to network 2, in particular to collect network consumption data in real time.
- the database 6 contains all the data necessary for the operation of modules 7 and 8, in particular the energy, meteorological, tariff, or regulatory data which will appear adequate to those skilled in the art, in particular for the implementation of the process 100 described below.
- Module 7 is a planning module. It is responsible for determining what quantity of energy, or what average energy power, is to be supplied to the electrical network 2 by the source 3 over predetermined periods of time, based on prior commitments from the operator of the installation 1 but also evolving data such as available energy, electricity payment rates, network consumption, etc. It is put in works in particular every fifteen minutes in order to optimize the electricity supply to the network. This module is not the subject of this request.
- Module 8 is the object of the request, it is the instruction module. It aims to instruct, every five seconds, the source 3, the system of 4 or both to supply, to the network 2, a determined power of energy, or to the source 3 to supply to the system 4 a power of energy determined to store it.
- the specific objective of module 8 is to make it possible to respect an objective of quantity of energy or average power to be supplied to the electrical network 2, objective determined by module 7 for different predetermined periods of time.
- the particularity of this module 8 is that it also aims to avoid as many unloadings as possible from the storage system 4 within the network 2, in order to reduce the wear and tear of the system 4, while meeting the energy supply objectives. to network 2. This module 8 and the way in which this optimization is carried out will be described in more detail below.
- the computing means 5 also present, even if they are not illustrated, all the characteristics allowing the proper functioning of the modules 7 and 8 associated with the database 6, in particular at least one processor, a memory, interaction means with a user to possibly modify parameters of modules 7 and 8, or even telecommunications means on a communications network.
- electrical network 2 we designate an electricity transport and distribution network. In particular, we designate a network of large geographic scope, that is to say applying to one or more cities, or even to a region or a country. In general, the invention applies to any energy transport and distribution network of this magnitude.
- the manager of the electricity network 2 requires the operator of the installation 1 to provide in advance the quantities of energy that it undertakes to supply to the network 2 during a day, per period of ten minutes.
- the network manager has predictability of the quantity of energy which will be available at the end of each of these periods throughout the day on this network.
- the duration of the commitment time period here ten minutes, can be different.
- operator 1 During the production day, operator 1 ensures that it respects its commitments, that is to say, supplies electricity network 2, over each commitment time period, through source 3 and the storage system 4, the quantity of energy committed for this period. If the amount of energy it provides over a period of time is less than the quantity at which he is committed, he is financially penalized by the manager. If the quantity of energy produced is greater than his commitment, he is not paid for this surplus by the manager and therefore suffers a shortfall.
- module 7 identifies, throughout the day, as mentioned above, energy supply objectives re-evaluated every fifteen minutes, based on available data, in particular the current weather forecast and forecasts. short-term meteorological conditions. For example, module 7 can determine that it is preferable to provide less energy than expected to network 2 for a few minutes and store this energy in system 4, even if it means receiving a slight financial penalty for the period d current commitment, in order to anticipate significant unavailability of energy during a future period and therefore to avoid a heavier financial penalty at that time.
- module 7 provides module 8 with an average power objective to be supplied to the electrical network during predetermined periods of time. These periods of time correspond to the commitment periods, but can alternatively correspond to other predetermined periods of time, the final objective being to respect the average powers to be provided during the commitment periods.
- an average power it could be a quantity of energy, a quantity of energy corresponding to a power supplied for a certain duration. An average power to be supplied over a period therefore corresponds to a determined quantity of energy supplied throughout this period.
- the input data available to the module 8 are in particular this average energy power to be supplied during each period of time or the quantity of energy to be supplied during this period, the power available from the source 3 at each moment, and the state of the load of system 4 at any time.
- the output data from this module 8 is an energy supply instruction to source 3 intended for network 2 or system 4 (supply called in this case "load"), and a possible discharge instruction from system 4 to the network 2, so as to reach the average power to be supplied during the predetermined period.
- step 101 the means construct on a diagram, visible in Figure 3, having as abscissa a duration and as ordinate a quantity of energy, an affine line 11 representing the optimal quantity of energy to be supplied to the electrical network 2 throughout this period of time.
- optimal quantity of energy we designate the quantity of energy that should be provided at each moment of the period in a perfectly linear manner to meet the average power objective. In other words, it is the quantity of energy resulting from a constant power supplied at each moment and making it possible to achieve the assigned objective.
- the end point 12 of the line 11 therefore corresponds to the quantity of energy to be supplied at the end of this period.
- the optimal quantity of energy to be supplied during this period corresponds to this average power multiplied by the duration of the period, as follows:
- Epian is the optimal quantity of energy to have supplied to network 2 between the start of the period and a precise moment, tfj n the last moment of this period, therefore corresponding to the total duration of the period of time, P pian la average power to be supplied during this period, determined by module 7. This is the ordinate of end point 12.
- the initial point 13 of this line 11 corresponds to the average power to be supplied over this period multiplied by a duration of 30 seconds.
- the objective is thus to place the initial point 13 at a slightly positive ordinate.
- the effect of this upward movement of the initial point 13 is to encourage the sending of an energy power instruction higher than necessary at the start of the time period, so as to get ahead in the event of unavailability of intermittent energy later, for example in the event of a passing cloud.
- the average power is negative - this is the case of underdrawing -, the initial point is placed at 0.
- the ordinate E pian (0) of this initial point 13 corresponds to the following formula:
- the straight line 11 thus constructed, between the initial point and the final point, makes it possible to have the optimal quantity of energy which must theoretically be supplied at each moment to the network 2 by the installation 1 since the start of the period of time, if this supply was perfectly linear.
- the means construct an affine line 14 representing the so-called “minimum” quantity of energy to be supplied to the network throughout this period of time.
- minimum we designate a quantity less than the optimal quantity of energy, making it possible to tolerate a part of momentary underproduction of energy in anticipation of greater availability of energy from source 3 subsequently.
- the means determine two values. First, they identify the minimum average power that it is possible to supply to the electrical network 2 over this predetermined period of time without suffering an underproduction penalty. To do this, they are based on regulatory data from database 6 and deduce the average commitment power over the period, P ann , to which the operator is required, and subtract a value representing 5% of the power installed on the power plant 1.
- the installed power is a known value, recorded in the database 6. They determine a second value resulting from the average power objective P pian provided by the module 7, from which a value representing again is subtracted. 5% of the electrical power installed on plant 1.
- the means compare these two values and select the lower one. The latter is multiplied by the duration of the predetermined period of time, forming the ordinate of the end point 15 of this line 14 corresponding to the “minimum” quantity of energy to be supplied to the network.
- the ordinate of this point corresponds to the following formula:
- Emin is therefore the minimum quantity of energy to have supplied to network 2 between the start of the period and a specific moment
- Psousprod is the average power that it is possible to provide at the minimum without underproduction penalty
- kWc is the installed power of plant 1.
- the means multiply the theoretical average power to be provided by a duration of 30 seconds, and invert this value to make it negative. Placing this initial point 16 below 0 makes it possible to tolerate a certain underproduction at the start of the time period. If the average power to be supplied from module 7 is negative, this initial point is at 0.
- Emi (0) min(- P plan * 30s, 0).
- the straight line 14 connecting the initial point 16 and the final point 15 therefore represents the minimum quantity of energy which must have been supplied to the network at least at each moment since the start of the period of time to remain close to the optimal quantity while tolerating momentary underproduction.
- step 103 the means construct an affine line 17 representing the so-called “maximum” quantity of energy to be supplied to the network throughout this period of time. Above this curve, electricity network 2 would be considered overpowered.
- the means identify, thanks to the regulatory data from base 6, the maximum power that it is possible to provide without overproduction penalty: this is the average commitment power P ann at which we adds 4% of the installed power kWp. This value is multiplied by the duration of the period of time, i.e. ten minutes, forming the ordinate of the end point 18 of this line 17.
- Emax is therefore the maximum quantity of energy to be supplied to network 2 between the start of the period and a specific instant
- P an n + 4% * kWc is the average power that it is possible to supply to the network as a maximum 2 without overproduction penalty.
- the initial point 19 of the line 17 is determined by multiplying the 4% of the power value of the installation 1 by the duration tfj n of the period of time and by the number 3, according to the following formula:
- this formula results in a strongly positive initial value.
- this line 17 allows the choice of a setpoint for the power sent by source 3 to network 2.
- unclipping we mean the opposite operation of “clipping” or “clipping” consisting of limiting the power of the panels.
- the means have thus constructed the three straight lines which will be useful following the process.
- Steps 104 and following are then implemented, starting from the point of abscissa 0, that is to say at the initial instant of the predetermined period of time, then at regular intervals, in this case every five seconds, until the end of the time period.
- step 104 the aim is to predict what would be the quantity of hypothetical future energy Efutur which will have been supplied to network 2 since the start of the period of time, at a determined future instant.
- this duration tfutur located between the present moment t and the future moment, at 60 seconds.
- the means are based on the quantity of energy E res already supplied to the network since the start of the period of time and on the power available to the panels 3 at the present time t, so that this hypothetical quantity corresponds to the following formula:
- Pp V represents the available power from the intermittent energy source 3 at a precise time, in space at the present time t.
- this hypothetical quantity of energy which could be supplied to network 2 by installation 1 at a future time, could be determined according to other formulas known to those skilled in the art.
- the tfuture duration could be configured to be different than 60 seconds.
- step 105 the means compare this value to the minimum quantity of energy associated with the determined future instant.
- the means places the Future point on the graph and determines whether it is located above or on the affine line 14 at that future time. This comparison thus amounts to comparing Efutur and E m in (t+tfutur).
- step 106 the means set an objective of the quantity of energy to be achieved based on the result of this comparison.
- the means set the objective of achieving the optimal quantity of energy planned at this future instant, i.e. E pian (t+tfutur), and this without using the storage system 4.
- E pian i.e. E pian (t+tfutur)
- this means that the objective to be achieved is the line 11, and this without unloading the storage system.
- the means assign to the variable Eobjective the quantity Emin (t+tfutur), in other words the line 14, and authorize the discharge of batteries 4 in network 2.
- Emin (t+tfutur) the means assign to the variable Eobjective the quantity Emin (t+tfutur), in other words the line 14, and authorize the discharge of batteries 4 in network 2.
- the hypothetical quantity of energy at the future instant is greater than or equal to the line 14, the means assign the line 11 to the objective without authorizing the use of the batteries 4 to discharge energy into the network. This system 4 is therefore saved.
- the means aim at the line 14 by authorizing the use of the storage system 4 to discharge energy into the network in order to to try to reach, at the future instant, this line 14.
- step 107 the means determine the powers which should be supplied by the source 3 and/or the storage system 4 to the electrical network 2 to meet the assigned objective, that is to say either to reach the right 14, or to reach the right 11.
- the means first determine the power P res that should theoretically be supplied to the network 2 at the present time t depending on the average quantity of energy assigned as an objective by the module 7 and the quantity of energy already provided in the past, according to the following formula:
- the means determine the power that should theoretically be obtained from the storage system 4 or, on the contrary, stored in the storage system 4, depending on the theoretical power P res to be supplied to the network and the available power P pv at the present moment t from source 3, in the following way:
- step 108 the means determine the power instructions to be applied as a function of the theoretical powers calculated in step 107 and as a function of whether or not the discharge of the storage system is authorized in the electrical network 2.
- the means determine the maximum power P m ax that it is possible to supply to network 2 between now and the future instant, by means of the affine line 17 whose ordinate at the future instant is known, that is, that is to say by means of the maximum quantity of energy which could have been supplied to the network by the future moment, and also by means of the quantity of energy E res supplied to the network since the beginning of the period and until the present moment t.
- This maximum power therefore corresponds to the following formula: [Math 10]
- the means determine the power instructions to be transmitted by the intermittent energy source 3 to the network 2 or to the storage batteries 4, the possible discharge instruction of the storage system 4 in the network 2 or the possible discharge instruction. charge.
- Pbat(t) If Pbat(t) is positive, there are two cases depending on whether the discharge is authorized or not. Let us first deal with the case where the discharge was not authorized in step 106. In this case, the storage system 4 receives instructions not to transmit any power to the electrical network 2. For its part, the instruction to power to be supplied by source 3 to network 2 is limited to a maximum of P m ax(t) so as not to overpower network 2.
- the storage system 4 is instructed to transmit the energy power Pbat(t) to the electrical network 2.
- the source 3 is instructed to transmit to the network 2 the rest of the power, respecting a maximum equal to P m ax(t) - Pbat(t) so as not to overpower network 2.
- the power P m ax(t) is transmitted to the network electric 2, part of this power coming from the batteries 4 with the power Pbat(t), part coming from source 3 with the available power coming from this source, limited by the maximum value P max(t)-Pbat(t ).
- steps 104 to 108 are repeated every five seconds, until the end of the predetermined period of time.
- power and limit instructions are sent to source 3 and possibly to storage system 4, to supply electrical network 2.
- this five second interval can be configured to be different.
- the duration tfutur fixed at 60 seconds is reduced second by second up to a predetermined minimum duration so that steps 104 to 108 can continue to be implemented at closer to the end of this period of time.
- the smaller this minimum duration at the end of the period the more we ensure that we achieve the objective of the quantity of energy set for the entire period of time, but the more we increase the fluctuation of power injected into the network.
- the period tfutur can generally be set to a duration other than 60 seconds.
- Steps 101 to 108 are then implemented for the following predetermined period.
- Curve 22 represents the quantity of energy supplied to the electrical network 2 until this present moment t, since the start of this period of time.
- Point 20 is the point corresponding to the quantity supplied up to this time t.
- Point 21 represents the hypothetical quantity of energy at the future instant determined in step 104, that is to say for the instant t+tfutur where tfutur is equal to 60 seconds.
- the storage system 4 is charged with power energy Pbat(t) from source 3, and this same source supplies the electrical network 2 with the rest, limiting this power so as not to exceed the line 17
- the arrows drawn indicate the setpoint 24 allowing the batteries 4 to be charged while reaching the curve 11, and the setpoint 25 sets the maximum power not to be exceeded in the supply of the network 2 so as not to exceed the curve 17.
- the quantity of energy actually supplied to the electrical network 2 by the source 3 and possibly the system of storage 4 forms a curve 22 evolving between the straight lines 14 and 11 corresponding respectively to the minimum quantity of energy to be supplied and to the optimal quantity of energy, desired, to be supplied to the network 2.
- a certain momentary underproduction is tolerated, controlled by predicting the hypothetical quantity of energy which could be supplied in the future. We therefore limit the unloading of the storage system while approaching as closely as possible the optimal quantity of energy to be supplied to the electrical network over a predetermined period.
- each predetermined period of time can correspond to a commitment period for which the operator has committed to providing a specific quantity of energy to the network.
- a period of time can also be a sub-period of a commitment period or an accumulation of commitment periods.
- the method to an installation comprising other types of intermittent energy, such as wind energy, and other types of storage system, such as other types of battery, a flywheel, a supercapacitor, an electrolyser or even a fuel cell.
- other types of intermittent energy such as wind energy
- other types of storage system such as other types of battery, a flywheel, a supercapacitor, an electrolyser or even a fuel cell.
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- Business, Economics & Management (AREA)
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- Economics (AREA)
- Strategic Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Power Engineering (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Health & Medical Sciences (AREA)
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- Development Economics (AREA)
- Water Supply & Treatment (AREA)
- Educational Administration (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
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Abstract
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Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP23790241.6A EP4599387A1 (fr) | 2022-10-05 | 2023-09-28 | Procédé d'alimentation d'un réseau énergétique |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| FR2210205A FR3140716A1 (fr) | 2022-10-05 | 2022-10-05 | Procédé d’alimentation d’un réseau énergétique |
| FRFR2210205 | 2022-10-05 |
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| Publication Number | Publication Date |
|---|---|
| WO2024074391A1 true WO2024074391A1 (fr) | 2024-04-11 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/EP2023/076866 Ceased WO2024074391A1 (fr) | 2022-10-05 | 2023-09-28 | Procédé d'alimentation d'un réseau énergétique |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP4599387A1 (fr) |
| FR (1) | FR3140716A1 (fr) |
| WO (1) | WO2024074391A1 (fr) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180175660A1 (en) * | 2015-06-22 | 2018-06-21 | Mitsubishi Electric Corporation | Storage-battery control device, storage-battery charge/discharge system, photovoltaic power generation system, and storage-battery control method |
| CN110138004A (zh) * | 2019-05-08 | 2019-08-16 | 上海电力学院 | 一种多能互补系统优化运行方法 |
| US20200059098A1 (en) * | 2017-02-22 | 2020-02-20 | Board Of Regents, The University Of Texas System | Building and Building Cluster Energy Management and Optimization System and Method |
| US20200358290A1 (en) * | 2017-11-20 | 2020-11-12 | Ihi Corporation | Energy management system, power demand plan optimization method, and power demand plan optimization program |
| CN112086998A (zh) * | 2020-08-20 | 2020-12-15 | 国网山西省电力公司电力科学研究院 | 孤岛模式下直流微电网的能量优化调度方法 |
| GB2592218A (en) * | 2020-02-19 | 2021-08-25 | Conductify Ltd | A method for managing an energy system |
-
2022
- 2022-10-05 FR FR2210205A patent/FR3140716A1/fr active Pending
-
2023
- 2023-09-28 EP EP23790241.6A patent/EP4599387A1/fr active Pending
- 2023-09-28 WO PCT/EP2023/076866 patent/WO2024074391A1/fr not_active Ceased
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180175660A1 (en) * | 2015-06-22 | 2018-06-21 | Mitsubishi Electric Corporation | Storage-battery control device, storage-battery charge/discharge system, photovoltaic power generation system, and storage-battery control method |
| US20200059098A1 (en) * | 2017-02-22 | 2020-02-20 | Board Of Regents, The University Of Texas System | Building and Building Cluster Energy Management and Optimization System and Method |
| US20200358290A1 (en) * | 2017-11-20 | 2020-11-12 | Ihi Corporation | Energy management system, power demand plan optimization method, and power demand plan optimization program |
| CN110138004A (zh) * | 2019-05-08 | 2019-08-16 | 上海电力学院 | 一种多能互补系统优化运行方法 |
| GB2592218A (en) * | 2020-02-19 | 2021-08-25 | Conductify Ltd | A method for managing an energy system |
| CN112086998A (zh) * | 2020-08-20 | 2020-12-15 | 国网山西省电力公司电力科学研究院 | 孤岛模式下直流微电网的能量优化调度方法 |
Non-Patent Citations (1)
| Title |
|---|
| HUG-GLANZMANN G: "Coordination of intermittent generation with storage, demand control and conventional energy sources", 2010 IREP SYMPOSIUM BULK POWER SYSTEM DYNAMICS AND CONTROL - VIII (IREP 2010) : [BUZIOS], RIO DE JANEIRO, BRAZIL, 1 - 6 AUGUST 2010, IEEE, PISCATAWAY, NJ, USA, 1 August 2010 (2010-08-01), pages 1 - 7, XP031746873, ISBN: 978-1-4244-7466-0 * |
Also Published As
| Publication number | Publication date |
|---|---|
| EP4599387A1 (fr) | 2025-08-13 |
| FR3140716A1 (fr) | 2024-04-12 |
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