AUTOMATIC METHOD FOR CONTROLLING AN ELECTRIC FLOW

Description

DOMAINE TECHNIQUE DE L'INVENTION

[0001] The present invention relates to a method for automatically managing a flow of electrical energy making it possible to distribute electrical energy fairly and optimally between entities producing this energy and consuming entities.

[0002] The invention finds applications in the fields of production and distribution of electrical energy. It finds, in particular, applications in the field of production of electrical energy by autonomous, private electricity production devices. ARRIERE-PLAN TECHNOLOGIQUE DE L'INVENTION

[0003] In the field of electricity distribution, it is known that the general electricity distribution network - more simply called the general distribution network - supplies electricity to each home, industry, commercial premises, and any other entity consuming electricity, and bills each of these entities according to its own consumption, namely the number of kWh (kilowatt hours) consumed. For several years, autonomous electricity production devices, which produce renewable energy, have appeared. These autonomous electricity production devices, such as photovoltaic, wind or hydraulic devices, are installed on buildings or private land to supply said buildings with electricity at a lower cost. Installations with an autonomous electricity production device allow self-consumption, that is to say the local consumption of locally produced electricity.

[0004] However, these autonomous electricity production devices do not produce a quantity of energy evenly distributed throughout the day. For example, photovoltaic panels only produce electrical energy during the day, after sunrise. Thus, a building on which photovoltaic panels are installed will only be supplied with electrical energy between sunrise and sunset. At night, since the quantity of electrical energy produced is zero or very low, the building is supplied with electricity by the general electricity distribution network. Conversely, during the day, it is common for the quantity of electrical energy produced by these photovoltaic panels to be greater than the quantity of electrical energy consumed by the building.Excess electrical energy, i.e. electrical energy produced by the autonomous electricity production device and not consumed by the building, is generally resold at low cost to the general distribution network, the cost of the kWh purchased by the general distribution network being generally lower than the cost of the kWh sold by said general distribution network. Another possibility is to store the unconsumed electrical energy in a suitable storage device such as, for example, a solar battery in the case of electrical energy produced by solar panels. However, not only is this arrangement for storing electrical energy not permitted in all countries, but it also has a significant cost.

[0005] The profitability of an autonomous electricity production device is therefore generally improved by the ability to maximize the self-consumption of the electricity produced, and therefore the self-consumption rate of said device. This self-consumption rate is defined as the percentage of the electrical energy production consumed on site. More precisely, the self-consumption rate, noted Autoconso Rate, is defined by the formula: Taux Autoconso = ENR autoconsomm é ENR produite ∗ 100 , where self-consumed ENR is the quantity of electrical energy consumed on site and produced ENR is the quantity of electrical energy produced by the autonomous electricity production device.

[0006] In most installations, the self-consumption rate is close to 20% to 30%. To increase this self-consumption rate, and thus improve the profitability of autonomous electricity production systems, private installations producing and consuming electricity - here called electricity-producing entities (or prosumers, in Anglo-Saxon terms) - can be connected to entities that are only consumers (or consumers, in Anglo-Saxon terms) so that the electrical energy produced by the producing entities is consumed not only by the producing entities but also by the consuming entities. The model according to which producing entities are grouped with consuming entities in order to distribute electricity production is called the collective self-consumption model or virtual self-consumption model. This collective self-consumption model allows individuals, communities, businesses, condominiums, etc., geographically close to each other (i.e. whose withdrawal and injection points into the general distribution network are located downstream of the same medium to low voltage electricity transformer station) to group together within a legal entity to share electricity production.

[0007] However, while a collective self-consumption model has the advantage of increasing the self-consumption rate, it also has the disadvantage of requiring appropriate management of the distribution of the flow of electrical energy produced by the producing entities. It also requires appropriate management of the flow of electrical energy purchased from the general distribution network, when the flow of electrical energy produced is insufficient. In other words, the flow of electrical energy produced must be shared equitably between all the entities in the collective self-consumption model so that this model is financially attractive for all entities.

[0008] The paper by Plaza Caroline, Julien Gil, Francois de Chezelles, and Karl Axel Strang, titled "Distributed Solar Self-Consumption and Blockchain Solar Energy Exchanges on the Public Grid Within an Energy Community," published in 2018 in the IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), proposes a solution for sharing the electrical energy produced. This solution consists of a metering method for accounting for the amount of energy using so-called "blockchain" technology for encryption within the community of entities. However, the method proposed in this paper only manages the exchange of electrical energy according to rules pre-established by the community. It does not allow for equitable management of the energy flow based on the needs of each entity and the amount of electrical energy produced.

[0009] The paper by Verschae Rodrigo, Takekazu Kato, Hiroaki Kawashima, and Takashi Matsuyama, entitled "A Cooperative Distributed Protocol for Coordinated Energy Management in Prosumer Communities" and published in December 2015 in the Technical Report of IEICE, proposes a method for negotiation between producer entities. However, this method involves two levels that are quite complex to implement and requires significant computing resources. Furthermore, this method does not take into account the exact contribution of each entity, particularly the consumption of consumer entities and the production of producer entities.

[0010] The document Solène Goy ET AL: "Load Management in Buildings", Urban Energy Systems for Low-Carbon Cities (excerpt), November 30, 2018 (2018-11-30), pages 1 / 14-6 / 14, XP055723126, ISBN: 978-0-12-811553-4, discloses a tool to maximize self-consumption in a building community in which occupants are willing to modify their energy use practices to improve energy performance. This tool offers three levels: a local level, a "neighborhood" level and a global level.

[0011] There is therefore a real need for technology that can manage the flow of electrical energy produced fairly between producing entities and consuming entities, taking into account the contribution of each entity. RESUME DE L'INVENTION

[0012] To address the problems mentioned above of not taking into account the needs of the different entities, the lack of fairness in the distribution of the electrical energy produced and the need for a simple solution from a calculation point of view, the applicant proposes a method for managing the flow of electrical energy based on the forecast needs and the actual needs of each entity, whether it is a producer or a consumer of electricity.

[0013] According to a first aspect, the invention relates to a method for automatically managing a flow of electrical energy produced by at least a first group of producing entities and consumed by said first group of producing entities and at least a second group of consuming entities, in which each entity of each group determines, at the start of a predetermined period, a production forecast and / or a consumption forecast of electrical energy for the predetermined period, the method comprising the following operations: a) determining, for each group, an order of consultation of the entities of the group, b) consulting the producing entities according to the order determined in step a), each producing entity calculating a residual production forecast taking into account its own production forecasts, a residual production forecast transmitted by a previous entity and a share of a consumption forecast that can be fed by the residual production forecast, and transmitting this residual production forecast to the next producing entity according to the determined order, c) repeating step b) until all the producing entities have been consulted, d) when the residual production forecasts are in excess, transmitting said residual production forecasts to the group of consuming entities, e) consulting the consuming entities according to the order determined in step a), each consuming entity calculating and transmitting,to the next consuming entity in the determined order, the residual production forecast taking into account the residual production forecast transmitted by the previous entity and its share of consumption forecast that can be supplied, f) repeat step e) until all consuming entities have been consulted, g) repeat steps b) to f) until a predetermined convergence criterion has been reached.

[0014] This process makes it possible to improve the self-consumption rate of all entities connected to the network and to distribute, by means of a regular change of consultation orders, the electrical energy produced between the different entities equitably, taking into account the contribution of each of the entities.

[0015] In the following description, we will refer to "electrical energy" or "electricity" as a quantity of electricity produced or consumed, measured in kWh (kilowatt hours).

[0016] Advantageously, step b) comprises the following operations: calculate a cumulative production forecast corresponding to its production forecasts added to a possible residual production forecast transmitted by a previous entity, identify a part of its consumption forecast that can be supplied by this cumulative production forecast, calculate a residual production forecast corresponding to the cumulative production forecast less the part of its consumption forecast that can be supplied, calculate a residual consumption forecast corresponding to its consumption forecast less the part of its consumption forecast that can be supplied, added to a possible residual consumption forecast transmitted by a previous entity, and transmit to the next producing entity according to the determined order, the production forecasts and the calculated residual consumption forecasts; and step e) comprises the following operations: identify a portion of its consumption forecast that can be supplied by the residual production forecast transmitted by the previous entity, calculate the residual production forecast corresponding to the residual production forecast transmitted by the previous entity less the portion of its consumption forecast that can be supplied, calculate the residual consumption forecast corresponding to its consumption forecast less the portion of its consumption forecast that can be supplied, added to any residual consumption forecast transmitted by a previous entity, and transmit to the next consuming entity in the determined order, the production forecasts and the calculated residual consumption forecasts.

[0017] The first and second groups of entities being connected to a general electricity distribution network, the method advantageously comprises, at the end of at least one predetermined period, the establishment of an energy balance based on a comparison, for each entity of each group, between the production forecasts and the actual production and / or between the consumption forecasts and the actual consumption of the entity.

[0018] Advantageously, the establishment of the energy balance includes the following operations: l) consult each producing entity according to the consultation order determined in step a) each producing entity: calculating the cumulative actual production corresponding to its actual production added to any actual residual production transmitted by the previous entity, identifying a share of its actual consumption that can be supplied by this cumulative actual production, calculating the actual residual production corresponding to the cumulative actual production less the maximum share of its actual consumption that can be supplied, calculating the residual actual consumption corresponding to its actual consumption less the share of its actual consumption that can be supplied, added to any residual actual consumption transmitted by the previous entity, transmitting said actual residual production and said actual residual consumption to the next producing entity according to the consultation order,m) repeat step b) until all the producing entities have been consulted, n) consult the consuming entities in the order of consultation determined in step a), each consuming entity determining the actual residual consumption of said consuming entity and the actual residual production, and transmitting said actual residual consumption and the actual residual production to the next consuming entity in the order of consultation, o) repeat step n) until all the consuming entities have been consulted, and p) establish the energy balance indicating, for each of the producing and consuming entities, the quantity of electrical energy consumed supplied by the producing entities and the quantity of electrical energy consumed supplied by the electricity distribution network.

[0019] In addition to the characteristics which have just been mentioned in the preceding paragraph, the management method according to one aspect of the invention may have one or more complementary characteristics among the following, considered individually or according to all technically possible combinations: the order of consultation of the entities determined in step a) is modified at the start of each predetermined period. the consultation order is chosen randomly. the consumption forecasts are optimized by each of the producing and consuming entities according to the production forecasts and / or the residual production forecasts transmitted by the previous entity. the consumption forecasts are optimized by each of the producing and consuming entities by choosing, over time, the most appropriate consumption moment according to the production forecasts and / or the residual production forecasts transmitted by the previous entity. when the residual production forecasts are higher than the residual consumption forecasts of the groups of producing and consuming entities, the electrical energy actually produced is stored in a storage device to be consumed later.several self-consuming groups, each comprising at least a first group of producing entities and at least a second group of consuming entities, are connected to share the flow of electrical energy produced by the first groups of producing entities by applying, self-consuming group by self-consuming group, steps a) to g) and l) to p) when the residual production forecasts of one of the self-consuming groups are higher than the consumption forecasts of said self-consuming group. the method comprises an operation of establishing an overall balance indicating, for each of the self-consuming groups, the quantity of electrical energy consumed supplied by the self-consuming groups and the quantity of electrical energy consumed supplied by the electricity distribution network.self-consuming groups are consulted according to a consultation order modified at the start of each predefined period. when a first self-consuming group and a second self-consuming group include the same producer or consumer entity, said entity is consulted before the second self-consuming group.

[0020] According to a second aspect, the invention relates to a unit for processing a flow of electrical energy produced by at least a first group of producing entities and consumed by said first group of producing entities and at least a second group of consuming entities, characterized in that it ensures at least the determination of the order of consultation of the entities, the management of the consultation of said entities and the verification of the predetermined convergence criterion.

[0021] According to a third aspect, the invention relates to a network of self-consuming electricity entities, characterized in that it comprises: a plurality of producer entities and consumer entities locally connected to each other, and at least one unit for processing a flow of electrical energy as defined above and connected to each of the consumer and producer entities.

[0022] Advantageously, the network of self-consuming entities is connected to the general electricity distribution network.

[0023] According to a fourth aspect, the invention relates to a computer program, characterized in that it comprises instructions which, when executed by a unit for processing an electrical energy flow, are capable of implementing the method as defined above for automatically managing the flow of electrical energy produced by at least a first group of producing entities and consumed by said first group of producing entities and at least a second group of consuming entities. BREVE DESCRIPTION DES FIGURES

[0024] Other advantages and characteristics of the invention will appear on reading the following description, illustrated by the figures in which: There figure 1 schematically represents an example of a network of self-consuming entities according to the invention; The figure 2 schematically represents an example of several entities connected in a network of self-consuming entities according to the invention; The figure 3 schematically represents an example of two networks of self-consuming entities connected to each other; The figure 4 schematically represents an example of transmission of forecast values ​​of production and consumption of electricity between two networks of self-consuming entities; The figure 5 represents an example of a flowchart for determining the forecast distribution of the flow of electrical energy within a network of self-consuming entities; The figure 6 represents an example of an organizational chart for establishing the energy balance within a network of self-consuming entities; The figure 7 represents, in the form of a stacked area chart, a chronological example of non-optimized and optimized production forecasts and consumption forecasts; The figure 8 represents, in the form of a table, a comparison of electricity consumption results obtained with a method according to the prior art and the method according to the invention. DESCRIPTION DETAILLEE

[0025] An exemplary embodiment of a method for automatically managing a flow of electrical energy produced by an autonomous electricity production device allowing an equitable distribution of the electricity produced is described in detail below, with reference to the appended drawings. This example illustrates the characteristics and advantages of the invention. It is however recalled that the invention is not limited to this example.

[0026] In the figures, identical elements are identified by identical references. For reasons of readability of the figures, the size scales between the elements represented are not respected.

[0027] The method for automatically managing a flow of electrical energy according to the invention aims to manage in an equitable manner and through a facilitated calculation the quantity of electricity produced by one or more electricity-producing entities and consumed by said producing entities as well as by electricity-consuming entities, the producing entities and the consuming entities being connected to each other to form a network of self-consuming entities - also called self-consuming grouping - an example of which is shown in the figure. figure 1 .

[0028] A "producing entity" is any building (such as: housing, commercial premises, industry, private land, etc.) equipped with one or more autonomous electricity production devices allowing said building to produce local electricity that can supply part of its consumption (notion of self-consumption of electricity locally in the building). A "consuming entity" is any building (such as: housing, commercial premises, industry, etc.) equipped with electricity-consuming devices (such as: washing machine, television, computer, radiator, etc.).

[0029] As shown in the figure 1 , the network of self-consuming entities R1 comprises several producing entities 10 and several consuming entities 20, all connected to a processing unit 30 ensuring the implementation, within the network of self-consuming entities, of the method which will be described later. Each producing entity 10 and each consuming entity 20 comprises a connection interface 40 allowing an exchange of data, by wired link or wireless link, between the processing unit 30 and said entity. The processing unit 30 can be a computer, a box or any other calculator, located in one of the entities or in an independent room and implementing a computer program capable of executing instructions corresponding to the operations which will be described later.Alternatively, the processing unit 30 can also be “virtual” and stored in the form of a computer program on a remote infrastructure, i.e. located at a distance (several kilometers) from the self-consuming entities, and communicating with the connection interfaces of said entities via a telecommunications network such as the Internet network.

[0030] An example of a network of self-consuming entities is shown in the figure 2 This network of self-consuming entities R1 comprises ten entities connected to each other, for example ten houses in the same neighborhood, with eight consuming entities 21-28 and two producing entities 11 and 12, producing electrical energy by means of photovoltaic panels.

[0031] According to certain embodiments, the network of self-consuming entities is connected to a general electricity distribution network (not shown in the figure) making it possible to supplement the electricity supply, when the producing entities of the network of self-consuming entities do not provide sufficient electricity to meet the electricity needs of the entire network of self-consuming entities.

[0032] The processing unit 30 implements a method intended to establish, for a predetermined period, the production forecasts by all the producing entities 10 - also called the first group of entities - and the consumption forecasts by the consuming entities 20 - also called the second group of entities - as well as by the producing entities. This predetermined period is of a duration sufficiently short to allow each producing or consuming entity to evaluate its consumption forecasts and sufficiently long to allow each producing entity to evaluate its electricity production forecasts. This predetermined period may be, for example, a period of a few hours, a day or a few days.

[0033] The electricity production forecasts and consumption forecasts for a network of self-consuming entities are carried out iteratively until a convergence criterion is reached. The successive iterations are carried out first for the producing entities in order to determine the overall quantity of electrical energy produced forecast by the network of self-consuming entities, during the predetermined period. The successive iterations are then carried out for the consuming entities in order to determine the quantity of electrical energy forecast to be necessary to supply the network of self-consuming entities during the predetermined period.

[0034] More precisely, and as shown in the figures 4 And 5, the method 100 for establishing the production and consumption forecasts comprises a first step 110 consisting of choosing an iteration order of the entities. This iteration order, also called the consultation order, is the order in which the entities are consulted to provide their forecasts and the order in which the residual productions and consumptions are aggregated. It is modified at each new predetermined period to ensure fairness in the network of self-consuming entities. This iteration order may be, for example, random; the producing entities, and respectively the consuming entities, are then consulted arbitrarily one after the other. Alternatively, the iteration order may be a predetermined order or a predefined rotation, alternating at each new period.Regardless of the choice of iteration order, this order is modified at each predefined period - for example at the start of each day if the predefined period is one day - or at each set of several predefined periods, - for example every two or three days - so that the hierarchy according to which the entities are consulted is regularly (and often) modified.

[0035] The method 100 is repeated at the start of each predetermined period, for example at the start of each day. The method 100 comprises, after the choice 110 of the iteration order, a step 120 of consulting the producing entities which provide, each in turn, their residual production forecasts and their residual consumption forecasts for the period. The residual production forecasts correspond to the production forecasts of the entity, aggregated with the residual production forecast transmitted by the preceding entity when it is present, and from which are subtracted the consumptions of the entity which can be supplied by the own production of said entity as well as by the residual unused production of the preceding entities in the consultation chain.The residual consumption forecast corresponds to the consumption forecast, once the production that can be allocated to it has been subtracted, aggregated with the residual consumption forecast transmitted by the preceding entity when it is present. The consumption forecast of the entity that can be supplied by its own production and the residual unused production of the preceding entities in the consultation chain is called "share of the consumption forecast that can be supplied". In the remainder of the description, it is understood that for each entity, this calculation of residual production and consumption will be carried out before any dissemination of the characteristics of residual production and residual consumption to the following entities in the consultation process.At the end of each consultation, the producing entity 10 transmits its residual production and residual consumption forecasts to the next producing entity according to the chosen iteration order. These residual production and consumption forecasts can be transmitted directly from one entity to another entity; they can, alternatively, be transmitted from one entity to another via the processing unit, each entity then exchanging only with the processing unit 30 (example of the . figure 1 ). Regardless of the transmission method, the residual production forecasts and the residual consumption forecasts are transmitted iteratively from one producing entity to the next producing entity. Each producing entity adds the received residual production and consumption forecasts to its own production and consumption forecasts, and performs a new calculation of the residual production forecast and the residual consumption forecast by internally seeking to use the available production (i.e. local production and residual production transmitted by the previous entity) to meet its local consumption as much as possible. This production availability at the level of a given entity, combining the entity's production with the residual production transmitted by the previous entity, is called cumulative production.Thus, production forecasts and consumption forecasts are aggregated as and when the producing entities are consulted, while being valued when possible internally within the entities and, after consultation with all the producing entities, it is possible to assess whether there remains a positive residual production or whether all the production has been self-consumed.

[0036] The step 120 which has just been described is repeated until all the producing entities 10 have been consulted (operation 130). When all the producing entities have been consulted, the method proposes to check whether the production forecasts are in excess. In other words, the method proposes to check whether the residual production forecasts are positive or zero, i.e. whether there is an unconsumed residual production forecast (operation 140). If the residual production forecast is zero (i.e. the production forecast has been fully consumed by the successive entities), then the overall forecasts (i.e. all the consumption forecasts and the production forecasts) are considered to be determined for the predetermined period (step 180).On the other hand, if the excess forecasts are positive, that is to say if there remains a non-zero residual production forecast, the residual production forecast of step 120 and the residual consumption forecast of step 120 are transmitted to the first consuming entity (that is to say the first consuming entity following the order determined in step 110). The consuming entities are then consulted (step 150) iteratively, one after the other following the order established in step 110. During this step 150, and following the same principle as in step 120, each consuming entity calculates its residual consumption forecasts for the predetermined period and the residual production forecasts, on the basis of the residual production and consumption forecasts received as well as its own consumption. Step 150 is repeated until all consuming entities have been consulted (test 160).

[0037] Steps 120 to 160 are repeated a plurality of times in order to optimize the consumption forecasts with respect to the production forecasts. At the end of step 160, the residual production and consumption are provided as input to the first producing entity of step 120 during an iteration. The forecasts obtained are considered to be optimal when the self-consumption rate reaches 100%, i.e. when the surplus production forecast is zero. Indeed, the method according to the invention aims to obtain a zero surplus production. The method therefore seeks, initially, to obtain a surplus production forecast equal to zero. Consulting the different entities iteratively makes it possible to gradually approach this objective. However, it is not always possible to obtain a surplus production forecast that is zero.In this case, it is considered that if a predefined convergence criterion is reached, then the forecasts obtained are optimal. For this, in the example of the process represented on the . figure 5 , test 170 proposes to verify that the convergence criterion is achieved. In other words, when all the producing and consuming entities have been consulted, the method comprises a step 170 consisting of verifying whether the convergence criterion is achieved. This convergence criterion may be, for example, a value of the production surplus, a convergence speed, a minimum rate of improvement compared to the previous iteration, a maximum iteration time of steps 120 to 160, etc. For certain criteria, convergence may be considered achieved when the result of net production and / or consumption forecasts for an entity is only marginally different from the result of net production and / or consumption forecasts of the previous calculation iteration.

[0038] In method 100, as long as the convergence criterion is not reached, steps 120 to 160 are repeated. When the convergence criterion is reached, it is considered that the overall forecasts (i.e. all the consumption forecasts and the production forecasts) are determined (step 180).

[0039] The steps 120 to 180 described above are implemented, at the start of a predetermined period, for example at the start of the day, to determine the optimal forecasts for consumption of the electrical energy produced during the predetermined period. At the end of this predetermined period, or of several cumulative predetermined periods, an energy balance is established iteratively in order to determine the actual distribution of the energy flow for the predetermined period(s). This energy balance is established by comparing, for each entity, the production forecasts with the actual production and the consumption forecasts with the actual consumption.More precisely, the energy balance is established by iteratively consulting each of the producing entities following the order established in step a) by taking into account, on the one hand, the actual production, and on the other hand the actual consumption and by carrying out the balance of the residual actual productions and residual actual consumptions of all the producing entities following the order established in step a) and by following the same calculation principles as during the forecast calculation step then by continuing in a similar manner the balance of the residual actual productions and consumptions on all the consuming entities, always following the same calculation principles as during the forecast calculation step.In the case of consuming entities, only actual consumption is taken into account, but this influences both the residual actual production, which is propagated from entity to entity, potentially being consumed as it goes along, and the residual actual consumption, which tends to aggregate from entity to entity.

[0040] The method 200 for establishing the energy balance, an example of a flowchart of which is shown in the figure 6 , is implemented, at the end of each predetermined period or after several predetermined periods - for example at the end of each day or of a week when the predetermined period is one day. The method 200 comprises a step 220 of consulting the producing entities which provide, each in turn, the residual actual production produced by the producing entity during the or set of predetermined periods and the residual actual consumption consumed for this same period or set of periods. At the end of each consultation, the producing entity transmits its residual production and consumption values ​​to the next producing entity according to the chosen iteration order.Residual production and consumption values ​​can be transmitted directly from one entity to another entity; alternatively, they can be transmitted from one entity to another via the processing unit, each entity then exchanging only with the processing unit (example of the . figure 1 ). Regardless of the transmission method, the production values ​​and residual consumption values ​​are transmitted iteratively from one producing entity to the next producing entity, each producing entity adding the residual production values ​​received to its own production values, and comparing its own actual consumption to identify the local self-consumption potential, and calculating the new residual actual production and consumption values ​​to be transmitted which integrate this self-consumption, so that the actual residual production and consumption values ​​are aggregated as the producing entities are consulted, integrating their local self-consumption.

[0041] Step 220 which has just been described is repeated until all the producing entities have been consulted (test 230). When all the producing entities have been consulted, the residual production values ​​resulting from step 220 and the residual consumption values ​​resulting from step 220 are transmitted to the first consuming entity (i.e. the first consuming entity following the order determined in step 110). The consuming entities are then consulted (step 250) iteratively, one after the other following the order established in step 110.

[0042] During this step 250, each consuming entity calculates, in a manner similar to step 220, the actual residual consumption consumed by the consuming entity during the predetermined period(s) and the actual residual production produced for this same period or set of periods. At the end of each consultation, the consuming entity transmits the residual production values ​​and the residual consumption values ​​to the next consuming entity according to the chosen iteration order. The residual production and consumption values ​​can be transmitted directly from one entity to another entity; they can, alternatively, be transmitted from one entity to another via the processing unit, each entity then exchanging only with the processing unit (example of the figure 1 ). Regardless of the transmission method, the production values ​​and residual consumption values ​​are transmitted iteratively from one consuming entity to the next consuming entity, each consuming entity comparing its own actual consumption with the actual residual production transmitted by the previous entity, to identify the local self-consumption potential, and calculate the new residual production and consumption values ​​to be transmitted, so that the actual residual production and consumption values ​​are aggregated as the consuming entities are consulted, integrating their local self-consumption. Step 250 is repeated until all consuming entities have been consulted (test 260).

[0043] Following this assessment, we know the share of electrical energy produced by each producing entity, i.e. the proportion of electricity produced by each of the producing entities in relation to the total quantity of electricity produced; we also know the share of electrical energy consumed by each of the producing / consuming entities, i.e. the proportion of electricity consumed by each producing / consuming entity in relation to the total quantity of electrical energy consumed. Taking into account the price per kWh, generally agreed by contract between the producing entities and the consuming entities, it is then possible to invoice each consuming or producing entity for the quantity of electrical energy consumed by said consuming or producing entity and produced by one or more of the other producing entities.

[0044] The iterative method of distributing, within a network of self-consuming entities, the electrical energy produced by the producing entities of said network of self-consuming entities makes it possible to distribute said electrical energy as much as possible and therefore to limit the quantity of electrical energy supplied by the general electricity distribution network.

[0045] According to certain embodiments, the method 100 for determining the forecasts comprises an operation consisting, during the consultation steps 120 and 150, of optimizing the consumption forecasts of the producing entities and the consuming entities, for example by taking into account the availability of the production. This optimization operation consists of maximizing consumption during peaks in the production of electrical energy. For example, in a network of self-consuming entities in which the electricity is produced by photovoltaic panels, if a peak in electrical energy is forecast between 10:00 a.m. and 4:00 p.m. (for example because the sunshine is optimal), the consuming entities and / or the producing entities can optimize their consumption by choosing to consume as much as possible during this time slot.A consumer entity may choose, for example, to operate the dishwasher and washing machine during this time slot instead of a slot initially envisaged before 10:00 a.m. or after 4:00 p.m. Indeed, if certain electricity-consuming devices operate continuously or at non-adjustable times, for example the heating or alarm of a room, the operating times of certain devices may, on the contrary, be chosen so as to optimize the consumption of the electrical energy produced.

[0046] An example of consumption optimization is shown in the diagram of the figure 7 , in which the grooved area represents the electrical energy required, over the course of a day, the speckled area represents the electrical energy generated by the network of self-consuming entities and the gridded area represents the electrical energy self-consumed by the producing entities. In this example, the operation of certain devices belonging to consuming entities was initially planned around 6:00 a.m. and 8:00 p.m. The operation of these devices as initially planned corresponds to the consumption peaks p1 and p2 (hatched area). In the example, the operation of these devices has been shifted in time, respectively around 10:00 a.m. and 3:00 p.m., so that they consume electricity during the peak p3 of energy production by the network of self-consuming entities.The shift in electrical energy consumption during an electricity production phase makes it possible to optimize electricity consumption in relation to production and, consequently, to improve the self-consumption rate.

[0047] In some embodiments, it is possible, when national regulations allow it, to store surplus electrical energy (i.e. electrical energy produced but not consumed) in a storage device so that this stored energy can be injected into the network of self-consuming entities at times when the network of self-consuming entities does not produce or does not produce enough electricity. The diagram of the figure 7 shows the example of a battery b charged during peak p3 of electricity production and whose discharge (referenced b') is carried out during peak p2 of consumption. In the example of the figure 7 , injecting electrical energy into the network of self-consuming entities makes it possible to absorb excess electricity consumption and, consequently, to limit the injection of electricity from the general distribution network.

[0048] According to certain embodiments, several networks of self-consuming entities, also called self-consuming groups or "pools" in Anglo-Saxon terms, can join together to further improve collective self-consumption, that is to say to further optimize electricity production. An example of two networks of self-consuming entities R1 and R2 is shown in the figure 3 , in which networks R1 and R2 are connected together, and are also connected to the general electricity distribution network R3.

[0049] In these embodiments where several self-consuming groups are connected together, the method 100 for determining the forecasts is carried out for each of the groups one after the other. When two self-consuming groups (or networks of self-consuming entities) are associated, that is to say connected to each other via the general distribution network, the steps 120 to 160 of the method 100 are implemented first for the first network of self-consuming entities, referenced pool 1, then, if the latter has a production surplus, by the second network of self-consuming entities, referenced pool 2. The steps 120 to 160 are then implemented by this second network of self-consuming entities in the same way as they were implemented by the first network of self-consuming entities, as explained previously during the description of the figure 5 . The residual production and consumption of a pool is then transmitted to the next pool. When the second pool network 2 has finished implementing steps 120 to 160, the method is repeated, from step 120, by the first pool network 1 if the convergence criterion has not been reached at the end of the implementation by the second pool network 2. The figure 4 shows an example in which the consumption and production forecasts of the first network pool 1 are transmitted to the second network pool 2 which will, in turn, add its own forecasts to those of the first network pool 1. The operations shown on this figure 4 are repeated until the convergence criterion is reached, for example until the self-consumption rate reaches 100%.

[0050] In the same way as for the method 100 for determining the forecasts, the method 200 for establishing the energy balance can be implemented first by the first pool network 1 then by the second pool network 2, when two self-consuming groups are associated. The steps 220 to 260 implemented for establishing the energy balance in the case of several self-consuming groups are identical to those described previously for the figure 6 ; they will therefore not be described again.

[0051] When several self-consuming groups are connected, and in particular more than two self-consuming groups, the order of consultation of the groups is determined at the beginning of a period and modified at the beginning of each period. The choice of the consultation order can be any of the consultation orders described in connection with the figure 5 .

[0052] In the particular case where an entity belongs to two self-consuming groups, then this entity is consulted before the second self-consuming group. In other words, this common entity is the first entity that is consulted in the second self-consuming group. This common entity is not taken into account in the consultation order, for example random; it is systematically the first consulted entity of the second self-consuming group.

[0053] In some embodiments, the predefined period is divided into a plurality of time intervals, for example 15 or 30 minutes, for which an average of the forecast values ​​or actual values ​​is associated with each time interval. This division of the period into time intervals makes it easier to optimize consumption and establish a discrete-time energy balance, allowing easier accounting and billing of the electrical energy consumed by each of the entities.

[0054] Thus, as explained previously, the electricity flow management method of the invention allows a fair distribution by a simplified calculation method, within one or more networks of self-consuming entities, of the energy produced by said network as well as an improvement in the self-consumption rate. An example of a comparison of consumption results obtained, for the same network of self-consuming entities, in the case of conventional management with a single iteration according to the prior art (called AA) and in the case of management according to the method of the invention with several iterations is represented in the form of a table on the figure 8This example shows the gain in self-consumption (of the order of 23%), the increase in the quantity of self-consumed electricity (of the order of 75 kWh), the reduction in surplus electricity (of the order of 75 kWh) and the reduction in the quantity of electrical energy purchased from the general electricity distribution network (approximately 88 kWh). In addition to the gain in kWh that the method of the invention allows, it also allows, in certain embodiments, simpler and fairer accounting and invoicing of the electricity consumed, which takes into account the real contribution of each of the entities.

[0055] Although described through a number of examples, variations and embodiments, the method for managing the flow of electricity and the network of self-consuming entities according to the invention include various variations, modifications and improvements which will be obvious to those skilled in the art, it being understood that these variations, modifications and improvements are part of the scope of the invention.

Claims

1. Method for the automatic management of a flow of electrical energy produced by at least one first group of prosumers (10) and consumed by said first group of prosumers (10) and at least one second group of consumers (20), wherein each entity of each group determines, at the beginning of a predetermined period, a production forecast and / or a consumption forecast of electrical energy for the predetermined period, the method being characterized in that it comprises the following operations: - a) determining, for each group, an order for consulting the entities of the group (110), - b) consulting the prosumers (120) according to the order determined in step a), each prosumer calculating a residual production forecast taking account of its own production forecasts, a residual production forecast transmitted by a preceding entity and a portion of a consumption forecast that can be supplied by the residual production forecast, and transmitting this residual production forecast to the prosumer according to the determined order, - c) reiterating step b) as long as all the prosumers (10) have not been consulted (130), - d) when the residual production forecasts are in surplus (140), transmitting said residual production forecasts to the group of consumers (20), - e) consulting the consumers (150) according to the order determined in step a), each consumer calculating and transmitting, to the consumer according to the determined order, the residual production forecast taking account of the residual production forecast transmitted by the preceding entity and of its portion of consumption forecast that can be supplied, - f) reiterating step e) as long as all the consumers have not been consulted (160), - g) reiterating steps b) to f) as long as a predetermined convergence criterion has not been reached (170).

2. Method according to claim 1, characterised in that step b) comprises the following operations: - calculating an aggregate production forecast that corresponds to its production forecasts added to any residual production forecast transmitted by a preceding entity, - identifying a portion of its consumption forecast that can be supplied by this aggregate production forecast, - calculating a residual production forecast that corresponds to the aggregate production forecast less the portion of its consumption forecast that can be supplied, - calculating a residual consumption forecast that corresponds to its consumption forecast less the portion of its consumption forecast that can be supplied, added to any residual consumption forecast transmitted by a preceding entity, and - transmitting to the prosumer according to the determined order, the calculated residual production forecasts and consumption forecasts; and in that step e) comprises the following operations: - identifying a portion of its consumption forecast that can be supplied by the residual production forecast transmitted by the preceding entity, - calculating the residual production forecast that corresponds to the residual production forecast transmitted by the preceding entity less the portion of its consumption forecast that can be supplied, - calculating the residual consumption forecast that corresponds to its consumption forecast less the portion of its consumption forecast that can be supplied, added to any residual consumption forecast transmitted by a preceding entity, and - transmitting to the consumer according to the determined order, the calculated residual production forecasts and consumption forecasts.

3. Method according to claim 1 or 2, wherein the first and the second groups of entities are connected to a general electricity distribution network (R3), characterised in that it comprises, at the end of at least one predetermined period, the establishing of an energy assessment (200) based on a comparison, for each entity if each group, between the production forecasts and the actual production and / or between the consumption forecasts and the actual consumption of the entity.

4. Method according to claim 3, characterised in that the establishing of the energy assessment (200) comprises the following operations: - l) consulting each prosumer (220) according to the order for consulting determined in step a), each prosumer ∘ calculating the aggregate actual production that corresponds to its actual production added to any actual residual production transmitted by the preceding entity ∘ identifying a portion of its actual consumption that can be supplied by this aggregate actual production ∘ calculating the actual residual production that corresponds to the aggregate actual production less the portion of its actual consumption that can be supplied ∘ calculating the residual actual consumption that corresponds to its actual consumption less the portion of its actual consumption that can be supplied, added to any residual actual consumption transmitted by the preceding entity ∘ transmitting said actual residual production and said actual residual consumption to the next prosumer according to the order for consulting, - m) reiterating step b) as long as all the prosumers have not been consulted (230), - n) consulting the consumers (250) according to the order for consulting determined in step a), each consumer determining the actual residual consumption of said consumer and the actual residual production, and transmitting said actual residual consumption and the actual residual production to the next consumer according to the order for consulting, - o) reiterating step n) as long as all the consumers have not been consulted (260), and - p) establishing the energy assessment (280) that indicates, for each one of the prosumers and consumers, the quantity of electrical energy consumed supplied by the prosumers and the quantity of electrical energy consumed supplied by the electricity distribution network.

5. Method according to any of claims 1 to 4, characterised in that the order for consulting the entities determined in step a) is modified at the beginning of each predetermined period.

6. Method according to claim 5, characterised in that the order for consulting is chosen randomly.

7. Method according to any of claims 1 to 6, characterised in that the consumption forecasts are optimised by each one of the prosumers and consumers according to the production forecasts and / or residual production forecasts transmitted by the preceding entity.

8. Method according to any of claims 1 to 7, characterised in that the consumption forecasts are optimised by each one of the prosumers and consumers by choosing, over time, the most appropriate moment of consumption according to the production forecasts and / or residual production forecasts transmitted by the preceding entity.

9. Method according to any of claims 1 to 8, characterised in that, when the residual production forecasts are higher than the residual consumption forecasts of the groups of prosumers and consumers, the electrical energy actually produced is stored in a storage device in order to be consumed thereafter.

10. Method according to any of claims 3 to 9, characterised in that several pools (R1, R2), each comprising at least one first group of prosumers (10) and at least one second group of consumers (20), are connected to share the flow of electrical energy produced by the first groups of prosumers by applying, pool by pool, steps a) to g) and l) to p) when the residual production forecasts of one of the pools are higher than the consumption forecasts of said pool.

11. Method according to claim 10, characterised in that it comprises an operation of establishing a global assessment that indicates, for each one of the pools, the quantity of electrical energy consumed supplied by the pools and the quantity of electrical energy consumed supplied by the electricity distribution network.

12. Method according to claim 10 or 11, characterised in that the pools (R1, R2) are consulted according to an order for consulting modified at the beginning of each predefined period.

13. Method according to any of claims 10 to 12, characterised in that, when a first pool and a second pool comprise the same prosumer or consumer, said entity is consulted before the second pool.

14. Unit for processing (30) a flow of electrical energy produced by at least one first group of prosumers (10) and consumed by said first group of prosumers and at least one second group of consumers (20), characterised in that it implements at least partially the method according to any one of claims 1 to 13 by providing at least the determining of the order for consulting the entities, the management of the consultation of said entities and the verification of the predetermined convergence criterion.

15. Network of electricity self-consumption entities (R1, R2) implementing at least partially the method according to any one of claims 1 to 13, characterised in that it comprises: - a plurality of prosumers (10) and consumers (20) connected locally to one another, and - at least one unit for processing (30) a flow of electrical energy according to claim 14, connected to each one of the consumers and prosumers.

16. Network of electricity self-consumption entities according to claim 15, characterised in that it is connected to the general electricity distribution network (R3).

17. Computer program, characterised in that it comprises instructions that, when they are executed by a unit for processing (30) a flow of electrical energy, are able to implement the method according to any of claims 1 to 13 to automatically manage the flow of electrical energy produced by at least one first group of prosumers (10) and consumed by said first group of prosumers and at least one second group of consumers (20).