FR3012646A1 - METHOD OF OPTIMIZING THE CONSUMPTION AND PRODUCTION OF AN ELECTRICAL INSTALLATION - Google Patents

Abstract

The invention proposes a method of optimizing the production and consumption of electricity of an installation connected to a network comprising at least one electricity consuming equipment and an autonomous power generation source, the method being implemented in an architecture comprising said installation, means for connecting the installation to the network, and at least one switching unit, comprising at least one switchman and a processing unit, the switching unit being adapted for selectively connecting the autonomous production source to the consumer equipment or the network according to information communicated to it, the method being characterized in that it comprises the implementation of: - the acquisition of information relating to : o grid sales and electricity pricing, o standalone electricity production, o team power consumption electricity consumers, and o indications concerning the need to draw or inject electricity into the grid, and - the determination, from the said information, of a switching status allowing the transmission of electricity produced by the source to the network or consumer equipment, to minimize the cost of electricity consumption of the installation and maximize the production gain, and the steering of each switch to implement said switching state. The invention also proposes an architecture comprising a processing unit adapted for implementing the method.

Description

FIELD OF THE INVENTION The field of the invention is that of the management of the production and consumption of energy of an installation connected to an electrical network and equipped with an autonomous source of electricity production.

The invention applies in particular to installations comprising a source of electricity production from renewable energy such as photovoltaic solar energy, wind or hydraulic energy over a watercourse. STATE OF THE ART Promoting the development of renewable energies has led some electricity consumers, supplied by a supplier through a general electricity generation network, to install autonomous production equipment, essentially photovoltaic. This incentive comes mainly from a purchase price by the supplier of this electricity produced by autonomous sources, which is set by the government, is currently high .. Until now the high electricity purchase price prompted customers to sell all of their production on the network, without taking into account other considerations such as the consumption of the installation, and the constraints of the network and installation. However, the multiplication of autonomous production sources connected to the network creates technical difficulties in network operation. In particular, when too much production is connected to the network, the voltage on the network can go up.

However, beyond a certain threshold of voltage, the protection systems of the inverter of the production plant - making it possible to convert the direct current generated by the autonomous source into alternating current to make it compatible with the network - disconnect the inverter of the network, which penalizes the installation because then the electricity produced by the autonomous source is lost.

The incentive to systematically sell electricity generated by the autonomous source may therefore be lost. It could be replaced by a variable incentive based on a modulation of the redemption prices. In addition, the electricity supplier who buys and sells electricity to customers has to deal with a balance requirement between generation and consumption on a global scale of the network, and the grid operator must deal with the same. the need to balance production and consumption on a local scale (for example at a specific point in the network). This balance can be achieved if the supplier and / or the grid operator can encourage the installations to modulate their consumption or their production to reach the overall equilibrium, for example by modulating the purchase or sale prices of the electricity. Optimized management of the production and consumption of an installation connected to a network must therefore take into account the different constraints of the network and the installation. The document GB 2,445,421 describes an algorithm for managing the electricity produced by an independent power source of an installation connected to a network, the algorithm consisting in acquiring at regular intervals the time of the day to deduce therefrom electricity withdrawal rates on the network.

If the time of day corresponds to a peak hour, for which the rate of withdrawal of electricity is high, the algorithm controls the sale of all the energy produced by the autonomous source and stored by the battery, subject to that the network needs electricity. On the other hand, if the time of the day corresponds to an off-peak time, the electricity consuming equipment is switched on. Therefore, the algorithm proposed in this document attempts to maximize the consumption over certain time periods corresponding to hours of low consumption of the network on a global scale, and to maximize the production of the installation on certain other time ranges corresponding to hours of high electricity consumption of the network on a global scale. This algorithm can prove to be expensive since it does not take into account the needs of the installation, and it does not make it possible to carry out an overall optimization taking into account a set of constraints including the operating constraints of the consumer installation.

In addition, the vendor's electricity sales and redemption prices may vary over time without being set according to contractual time periods. This algorithm would then no longer be suitable for these variable prices.

PRESENTATION OF THE INVENTION An object of the invention is to propose a method for optimizing the production and consumption of an installation connected to a network from the point of view of the installation, while respecting the constraints of the network. and the electricity supplier. In this regard, the subject of the invention is a method of optimizing the production and consumption of electricity of an installation connected to a network comprising at least one electricity-consuming equipment and a production source. autonomous electricity, the method being implemented in an architecture comprising said installation, means for connecting the installation to the network, and at least one switching unit, comprising at least one switchman and a processing unit, the switching unit being adapted to selectively connect the autonomous production source to the consumer equipment or to the network according to information communicated to it, the method being characterized in that it comprises the implementation of: the acquisition information relating to: o electricity sales and withdrawal charges to the grid, o electricity production from the autonomous source, o electricity consumption. electricity-consuming equipment, and o indications relating to the need for withdrawal or injection of electricity into the network, and the determination, from said information, of a state of referral allowing the routing of the electricity produced by the source to the network or consumer equipment, to minimize the cost of electricity consumption of the installation and maximize the production gain, and the steering of each switch to implement said switching state. Advantageously, but optionally, the method according to the invention may further comprise at least one of the following characteristics: the steps of acquiring information, determining a switching state, and controlling the switchman , are implemented at determined time intervals. the information relating to an electrical consumption of the consumer equipment includes a forecast of consumption of the equipment, and the method furthermore comprises the acquisition of electricity production forecasts from the autonomous source. the method is implemented in an architecture in which the installation connected to the network further comprises a storage unit, the switching unit being further adapted to connect the autonomous production source to the storage unit and for connecting the storage unit to the network or consumer equipment, wherein the acquired information further comprises a load rate of the unit. The method is implemented in an architecture in which the processing unit is adapted to control at least one power consuming equipment, the method further comprising determining started or stopped states of power consuming equipment for minimize the cost of electricity consumption of the installation, and start or stop of at least one power consuming equipment to implement said states. The method further comprises a parameterization step, comprising the acquisition of fixed parameters comprising constraints on the use of at least one electricity-consuming equipment.

The subject of the invention is also a computer program product, comprising code instructions for implementing the method according to the preceding presentation when it is implemented by processing means of a processing unit. .

The invention also relates to an architecture comprising an installation connected to a network, the installation comprising at least one electricity consuming equipment and an autonomous power generation source, the architecture further comprising connection means for the installation in the network, and at least one switching unit, comprising at least one switchman and a processing unit, characterized in that the processing unit is adapted for carrying out the method according to the preceding presentation.

Advantageously, but optionally, the architecture according to the invention may further comprise at least one of the following characteristics: the installation further comprises an electricity storage unit; the switching unit being adapted to connect the autonomous production source to the storage unit and to connect the storage unit to the network or to the consumer equipment, and to prohibit the charging of the battery by sampling on the network. the connection means of the installation to the network comprise two distinct connection channels, the two channels being respectively an electricity withdrawal channel and an electricity injection channel. the switching unit comprises a main switch, adapted to selectively deliver electricity from the storage unit or the autonomous production source to the network or equipment, and an auxiliary switch, adapted to selectively connect the autonomous production source to the storage unit or main switch, or the battery to the main switchman. - The architecture includes a combined switch, adapted to selectively connect the autonomous production source to the storage unit, network or consumer equipment, or the storage unit to the network.

The optimization method according to the invention makes it possible to minimize the cost of electricity consumption of an installation connected to a network while maximizing the production redemption gain in all circumstances, and taking into account both the constraints of network in terms of the need for withdrawal or injection of electricity, and both constraints of the installation in terms of consumption and electricity production, and constraints on the operation of consumer electrical equipment.

DESCRIPTION OF THE FIGURES Other features, objects and advantages of the invention will emerge from the description which follows, which is purely illustrative and nonlimiting, and which should be read with reference to the appended drawings in which: FIG. according to one embodiment of the invention. - Figure 1b shows an architecture according to another embodiment of the invention. FIG. 2 represents the main steps of an optimization method according to the invention; FIG. 3a shows a particular embodiment of the optimization method. - Figure 3b shows another embodiment of the optimization method. DETAILED DESCRIPTION OF AT LEAST ONE EMBODIMENT OF THE INVENTION With reference to FIGS. 1a and 1b, there is shown an architecture 1 comprising an installation 10 connected to an electrical network 2, the network 2 being managed by a distributor 'electricity. The installation 10 comprises at least one autonomous source of electricity production 11, said source being able to be of the solar type, for example solar photovoltaic, wind turbine, hydraulic, etc. The autonomous source 11 generates a direct current. The installation 10 further comprises at least one equipment 12 consuming electricity. The electricity consuming equipment 12 advantageously comprise at least one equipment 12 'controllable, that is to say, whose use can be carried forward or advanced over time depending on the circumstances in which it is more advantageous to use . This may be the case for example of a dishwasher, a hot water tank, or a washing machine. Advantageously, but optionally, the installation 10 also includes one or more electricity storage units 13 generated by the autonomous source 11. For example, the facility 10 may include one or more batteries. The installation 10 then comprises a management system (not shown) of the charge rate of the unit, adapted to determine a quantity of stored electricity and a remaining storage capacity. For example, in the case of batteries, the installation further comprises a battery management system (English Battery Management System) that can determine a state of charge of the battery or batteries. The installation 10 is moreover connected to the network 2 preferably by two separate connection ways 3, 4, one connecting channel 3 being a mains draw-off line to the network, and the other channel 4 being a channel of connection. injection of electricity to the grid. The electricity consuming equipment 12 is connected to the electricity draw-off channel 3. Advantageously, the latter comprises a meter 30 of electricity withdrawn from the network. This counter 30 makes it possible to obtain information on the quantity of electricity taken from the network, but also, by decoding information transmitted by the network operator or the supplier on the network, information relating to the selling price of electricity. by the supplier, non-tariff information, for example relating to the supplier's need for injection or electricity withdrawal. The electricity injection path 4 may also include a counter 40, making it possible to determine the quantity of electricity injected into the network, and the electricity purchase price by the supplier. Vendor selling and redemption prices are variable over time and may be provided in real time by the supplier and / or the network operator.

The architecture 1 also includes a counter 110 of the electricity produced by the autonomous production source 11, to evaluate the electricity produced by the source 11 and its distribution to the other elements of the installation. The architecture 1 further comprises a switching unit 20. The switching unit 20 comprises at least one switch 21 and a processing unit 22 adapted to control each switch. The switching unit comprises in inputs the autonomous production source and, if appropriate, the electricity storage unit 13. At the output, the electricity can be connected to the electricity consuming equipment, at the power unit. storage 13, or the channel 4 of injection of electricity to the network. The switching unit is thus adapted to selectively connect: the autonomous production source 11 to the equipment 12, or the electricity injection channel on the network, or to the storage unit 13, and the storage unit 13 to the equipment 12 or the channel 4 of injection of electricity on the network. The architecture finally comprises circuit breakers 60 to preserve the source 11, the equipment 12 and, if appropriate, the storage unit 13 in the event of an incident.

A circuit breaker 60 is at the input of the equipment 12. According to a first embodiment of the switching unit, represented in FIG. 1a, the switching unit comprises two controllers 21, 21 ', controlled by the unit treatment 22.

An auxiliary switch 21 'makes it possible to recover a direct current originating from the production source 11 or the storage unit 13, in order to deliver it to a single inverter 50. The auxiliary switch 21' is therefore at the input of the inverter 50 and output of the source 11 of autonomous production. The battery is connected to the switch to selectively recover or inject electricity into the switch. The switcher thus selectively allows to connect: - the autonomous production source 11 to the storage unit 13 or to the inverter 50, and - the storage unit to the inverter 50.

In this embodiment, the processing unit is adapted to control both the main switch 21 and auxiliary switch 21 '. In this respect, it is advantageously adapted to communicate remotely, for example by Wi-Fi or Bluetooth connection. Advantageously, the processing unit 22 is adapted to communicate with the counter 110, advantageously by a remote communication means VVifi type, Bluetooth or any other mode of communication. The switching unit further comprises a main switch 21 at the output of the inverter. This switch is adapted to selectively connect the output of the inverter 50 to the injection route 4 of electricity to the network or the equipment 12 electricity consumers. A circuit breaker 60 is disposed at the output of the inverter 50. In this embodiment, the function of the injection counter 40 can be fulfilled by the processing unit 22 of the switching unit 20. alternative embodiment shown in Figure 1b, the switching unit 20 comprises a switch 21 combined. This switcher has for inputs the source 11 and the battery 13 if necessary, and at the output the equipment 12, the channel 4 of electricity injection, and if necessary the storage unit 13. The architecture then comprises two inverters 51, 52 respectively at the output of the source 11 and the storage unit 13. Advantageously, the inverter 52 can also operate as a rectifier in order to supply the storage unit 13 with a direct current and thus charge said unit.

The combined switchgear 21 thus makes it possible to selectively connect the output of the inverter 51 (the output of the source 11 converted to alternating current) to the equipment 12, to the network injection line 4 on the network, or to the inverter 52 operating as a rectifier for charging the storage unit. It also makes it possible to connect the storage unit 13 to the electricity injection path 4. However, unlike the previous embodiment, it does not allow to unload the storage unit 13 to the equipment 12. This embodiment comprises two separate circuit breakers 60 respectively disposed between the inverters 51, 52 and the switchman In this embodiment also, the function of the injection counter 40 can be fulfilled by the processing unit 22 of the switching unit 20. As described in more detail below, the unit of FIG. processing 22 is adapted to control the or the controllers from the information it recovers. In this respect, the processing unit is advantageously adapted to communicate electronically with: the counter 30 of the withdrawal path, in order to retrieve from the meter the information relating to: o the quantity of electricity withdrawn from the network is ie the consumption of the equipment, or the power consumed instantaneously to adjust the states of the controllers. o the purchase price of electricity from the grid (price for electricity draw-off), which may be variable in time, but also determined in advance for a given period, or may change depending on the power withdrawn, and o the needs for withdrawal or injection of the network. This information can be transmitted locally, for example by the counter 30 when a high or low voltage is detected, or centrally, for example from a control station of the network manager. The source 11 of autonomous electricity or the counter 110 at the output of said source, in order to determine the production thereof; the counter 40 of the injection path for determining the quantity of electricity injected into the network and the purchase price of electricity by the network, that is to say the price of electricity injection on the network, - The inverter 50, in the embodiment of Figure la, to determine the power of it, this power must be below a threshold determined according to the model of the inverter, - the electricity storage unit 13 or its management system, to recover the indication of the amount of electricity stored, for example the charge rate of the battery, - 12 equipment, controllable or not, to retrieve information on the use and consumption of equipment. This information may also include an indication of the needs for the use of the equipment 12. For example, the user can plan his uses; for example by specifying that he wants to use equipment within the next 24 hours, or the time when equipment needs to be available, etc. The processing unit 22 also advantageously receives consumption and production forecasts, for example from the weather and the intended uses of the equipment 12. This information can be loaded directly into the processing unit by a user or be produced by the processing unit 22 based on other information, such as statistics on past uses of the equipment and the average generation of electricity over a period. The processing unit advantageously comprises an interactive interface to allow a user to insert data or program. Optionally, the architecture may also include an electric vehicle that can discharge its battery on the installation or recharge from the branch of withdrawal 3. The vehicle can therefore be considered as a consumption at the time of charging or a means of production at the time of discharge. The processing unit 22 can then also be parameterized according to the constraints of use of the vehicle; if for example the user plans to use it in the next 24h, and for what type of trip.

A method 1000 for optimizing the consumption and production of the installation 10 will now be described with reference to FIGS. 2, 3a and 3b. The method advantageously comprises a first step 1100 for setting up the processing unit. 22. The parameters given may be the following: - Maximum capacity of the storage unit, - Maximum power allowed by the inverter 50, in the case of the embodiment of Figure la, - The subscribed power at the level of the withdrawal route, if this is not variable, - The injection power on the network at the level of the injection route, if this is not variable, - Equipment utilization constraints 12 consumers of electricity.

These constraints may include for example an indication of the length of a duty cycle of a device 12, and whether it is interruptible or not during the cycle. This preferably concerns the controllable equipment 12 ', in order to allow the processing unit to determine whether certain equipment 12' can be started or stopped in order to optimize consumption and production.

The parameterization 1100 also makes it possible to program in the processing unit 12 forbidden signaling states. For example, reloading the storage unit 13 from the network is prohibited. To do this, the electricity consumption at the counter 40 of the injection path is compared by the processing unit 22 to a predetermined threshold which is parameterized by the electricity distributor. If this threshold is exceeded, the processing unit 22 controls the or the routers to interrupt the connection with the injection channel 4. By default, this threshold is at zero, to prohibit the withdrawal of electricity by the injection route. Alternatively, this threshold may be at a low positive value corresponding to the consumption of the combined or main switch 21 and the power electronics of the inverter / rectifier. Similarly, a sub-meter (not shown) is located between the withdrawal branch and the combined or main switch 21, and the power consumption at this sub-meter is compared with a predetermined threshold set by the distributor. . If this threshold is exceeded, the processing unit controls the or the routers to interrupt the connection between the combined switchman or main switch and the withdrawal channel 3. This threshold is by default to zero. After this parameterization, the method comprises a step 1200 of acquisition, by the processing unit, of all the information necessary for the optimization, which have been described above, and a step 1300 of determining a state of switching to minimize the cost of electricity consumption for the user and maximize electricity generation revenue. Advantageously, but optionally, when the equipment 12 comprises at least one controllable equipment 12 ', this step 1300 further comprises the determination of started or stopped states of at least one controllable equipment 12'. This makes it possible to adapt the electricity consumption of the equipment according to the information acquired in step 1200, in order to minimize the cost of total electricity consumption while maximizing the redemption gain.

Once the switching state determined, the processing unit 22 controls the or routers during a step 1400 to set up this state. In addition, if step 1300 comprises the determination of started or stopped states of controllable equipment 12 ', this step 1400 furthermore comprises the control, by the processing unit, of said equipment to impose these states on it. that is, the processing unit 22 can control the start or stop of certain equipment 12 '. Advantageously, these steps are implemented at determined time intervals. Preferably, the frequency of acquisition of the information is high in order to be able to finely optimize the situation of the user. Thus, the step 1200 is advantageously carried out at least every hour, preferably at least every minute, and more preferably every 2 seconds.

However, some information can only be collected at longer time intervals. This is for example the case of consumption or production forecasts, which can be provided for the next 24 hours, or redemption and electricity withdrawal price signals, which can also be determined for 24 hours. In this case, this information is obviously collected at the frequency necessary to update it. The frequency of determining the switching states may be lower than the information acquisition frequency. These steps can take place at least once every 24 hours, and preferably at least once every 12 hours or every 6 hours. This is particularly the case when information forecasts are available for a given period. In this case, the step 1300 for determining the switching states can be carried out once for a period N, for example a period of 24 hours, and comprise control instructions for the switches 1400 at a higher frequency, depending on the consumption values, production, redemption and withdrawal prices, etc. However, as in the embodiment of FIG. 3a, the switch control step 1400 can also be started, in addition to the instructions resulting from step 1300, when a variation of certain information likely to modify the state referral and the state of the controllable equipment 12 'is detected. This is for example the case of a variation in the consumption or production forecasts initially established for 24 hours, or in the forecast of electricity withdrawal and redemption rates, or the detection of the use of electricity. 'an equipment. This is still the case when a threshold described above on the consumption of electricity at one of the meters is exceeded. In this case, the implementation of step 1300 for determining and controlling the switching states is implemented as soon as the new signal is detected. This makes it possible to make a compromise between the accuracy of the optimization and the processing time required by the processing unit 22. A first embodiment of the optimization method is shown in FIG. 3a; the representation does not include the parameterization step 1100. In addition, although the acquisitions of the different information are represented in separate events, these acquisitions can advantageously take place simultaneously. In addition, in this embodiment, the step 1300 of determining a state of the switching to minimize the cost of consumption for a user, is implemented by the mathematical minimization of the amount of the balance between production and consumption. , as defined below: Cost = Cf, t + Iki, tC.Lt - Xt * Psoutiraget- (Pt + Pbt-Xt) * Prachatt) I * Stept j = 1 Where the following elements are imposed data: - t: time segment, which corresponds to a period for which the collected information is applied, therefore to the period of implementation of the switch control stage 1400, - N: total number of time segments t, which corresponds to at the implementation period of step 1300; - Stept: length of the time segment t - n: number of controllable equipment - Cf, t: consumed power of the non-controllable equipment for the time segment t - Psoutiraget: electricity withdrawal price (ENVh) on the segment of time t - Pt: power produced by the source 11 over the time segment t - Prachatt: electricity purchase price (ENVh) over the time segment t And where the following elements are optimization variables: - Kt : state, started or stopped, of the equipment j on the segment t (binary variable) - Cbt: consumption of the controllable equipment j for step t (VV) (positive variable) - Xt: power not coming from the network , sent on the equipment during the time segment t (V) (positive variable) - Cost: total cost (consumption cost - production gain) (E) - Pbt: power sent / withdrawn from the storage unit 13 during the time segment t (N) This minimization operation takes into account several constraints. First, on the state of charge of the storage unit: Pbt * Stept Vt E [1, IV], SoCt = SoCt_i x 100 Size Where: - SoCt: state of charge of the battery at the end of the time segment t (%) (positive optimization variable), such as Vt e [1, IV], 0 <SoCt <100 - Size: size of the battery (Wh) In addition, a device j must not be lit only once in the period N: Vj E [1, n], Istarti, t = 1 t = 1 Where startb is the start of the use j on the t-segment (optimization binary variable). The equipment j must be lit for the entire period of its uninterruptible ignition time: Vj E [1, n] = Ti t = 1 Where Test the uninterruptible ignition time for the controllable equipment j. And the equipment j must not be extinguished during its uninterruptible period: N T1-1 Vj E [1, n] Istarti, t * ki, t + m) = t = 1 m = o During the ignition period interruptible equipment, it can be paused and restarted thereafter, which is not considered an ignition. Finally, the sum of the consumptions of the lit equipments must not exceed the subscribed power at every instant: n Vt E [1,1 \], 0 Cf, t kj, tC1, t Pst 1 = 1 Where Pst is the subscribed power of delivery point on the time segment t (W) And the consumption of the equipment j is calculated as follows: Vt E [1, A1], Vj E [1, n], = kj, t * Equal_ok (j, no-1 With Céquipj, i: consumption of the use j, on a step i.

This minimization is an optimization problem with integer variables and quadratically constrained (known under the name mixed integer quadratically constrained programming or under the acronym MIQCP).

The resolution of this minimization by the processing unit 22 makes it possible to obtain values for the optimization variables and to adjust accordingly the switching state of the architecture. In addition, in the embodiment of the architecture represented in FIG. 1a, the following additional constraints must be taken into account: the output power of the storage unit 13 and of the source must be less than the power maximum of the inverter 50: Vt E [1, Al], <Pt + Pbt <Ponder, t - If the main switchman 21 points to the equipment, nothing passes through the injection meter: Vt E [1, N], Xt = switchman (* (Pt + Pbt) A simplified embodiment is also provided and shown in Figure 3b.This embodiment is advantageous in the case where no forecasts of consumption and production are available. In this case, this information is retrieved in real time at the various meters 30, 40, or alternatively at feed-in and electricity withdrawal rates for a future period.

During step 1200, the processing unit retrieves information on the production and consumption of the installation, the redemption and electricity withdrawal prices, and the needs of the network in terms of injection or racking. As indicated above with reference to FIG. 3a, the acquisition steps of the different pieces of information are represented separately but can take place simultaneously. Depending on the information retrieved, the step 1300 for determining the switching states and the step 1400 for implementing the states comprise the implementation of the following algorithm: - If the network indicates a need for injection of electricity, the source 11 and the storage unit 13 are connected to the injection line 4 to the network to maximize the amount of electricity injected into the network. In addition, if the equipment 12 includes controllable equipment 12 'which can be stopped, these devices are stopped to limit power consumption. - If the network indicates on the contrary a need for withdrawal of electricity, the source 11 is connected to the storage unit to store therein the electricity production of the source 11. Possible controllable equipment is started to increase consumption electric. If the network indicates a period during which it needs to draw electricity, only controllable equipment 12 'which a period of use is compatible with this duration are lit. In addition, if the storage unit is full or non-existent, the production of the source can still be returned to the network or the source 11 can be disconnected from the installation. - If the network has no particular need for withdrawal or injection of electricity, the processing unit 22 compares the purchase price with electricity withdrawal prices. o If the purchase price (ie injection price) exceeds the withdrawal price, the electricity produced by the source 11 and stored by the storage unit is injected into the network. o If, on the other hand, the purchase price is lower than the withdrawal price, the processing unit 22 determines whether the production of the installation is greater than its consumption. If this is the case, the processing unit retrieves the information on the needs for use of the controllable equipment 12 '. If at least one controllable equipment has a consumption that is less than or equal to the difference between production and consumption, this equipment is started. ^ If such a controllable equipment does not exist or if the production of the installation is lower than its consumption, only the preselected uses (that is to say imposed according to the parameters or the constraints of the user) are on. The production of the source 11 is directed to the equipment 12, and any excess is directed to the storage unit.

It has thus been proposed a method for finely managing the production and consumption of electricity taking into account both the constraints of the network and those of the user, and which minimizes the cost of consumption for the consumer.

Claims (12)

REVENDICATIONS1. A method of optimizing (1000) a production and consumption of electricity of an installation (10) connected to a network (2) comprising at least one electricity-consuming equipment (12) and a source (11) ) of autonomous power generation, the method being implemented in an architecture (1) comprising said installation, connection means (3, 4) of the installation (10) to the network (2), and at least one switching unit (20), comprising at least one switchman (21, 21 ') and a processing unit (22), the switching unit (20) being adapted to selectively connect the autonomous production source (11) to the consumer equipment (12) or to the network (2) according to information communicated to it, the method being characterized in that it comprises the implementation of: the acquisition (1200) of information relating to : o electricity sales and draw-downs to the grid, o electrical production e the autonomous source, o an electrical consumption of the equipment consuming electricity, and o indications relating to the need for withdrawal or injection of electricity to the grid, and the determination (1300), from said information, of a switching state allowing the transmission of the electricity produced by the source (11) to the network (2) or to the consumer equipment (12), in order to minimize the cost of electricity consumption of the installation and to maximize the production gain (10), and the control (1400) of each switch (21, 21 ') for implementing said switching state. 2. Optimization method (1000) according to claim 1, wherein the steps of acquiring information (1200), determining (1300) a switching state, and controlling (1400) the switcher, are implemented at determined time intervals. 3. Optimization method (1000) according to one of claims 1 or 2, wherein the information relating to an electrical consumption of consumer equipment includes a forecast of consumption of equipment, and the method further comprises the acquisition of forecasts. of electricity production from the autonomous source. 4. Optimization method (1000) according to one of the preceding claims, implemented in an architecture in which the installation connected to the network further comprises a storage unit (13), the switching unit (20). ) being further adapted to connect the autonomous production source (11) to the storage unit (13) and to connect the storage unit (13) to the network (2) or the consumer equipment (12), wherein the acquired information further includes a charge rate of the unit. 5. Optimization method (1000) according to one of the preceding claims, implemented in an architecture (1) wherein the processing unit (22) is adapted to control at least one power consuming equipment (12). '), the method further comprising determining (1300) started or stopped states of power consuming equipment to minimize the cost of electricity consumption of the plant, and start-up or shutdown (1400) at least one power consuming equipment (12 ') for implementing said states. 6. Optimization method (1000) according to one of the preceding claims, further comprising a parameterization step (1100), comprising the acquisition of fixed parameters comprising constraints of use of at least one consumer equipment of electricity (12, 12 '). 7. Computer program product, comprising code instructions for the implementation of the method according to one of the preceding claims when it is implemented by processing means of a processing unit (22). 8. Architecture (1) comprising an installation (10) connected to a network (2), the installation comprising at least one electricity consuming equipment (12) and a source (11) of autonomous electricity production, the architecture further comprising connection means (3, 4) of the network installation, and at least one switching unit (20), comprising at least one switchman (21, 21 ') and a processing unit (22). ), characterized in that the processing unit (22) is adapted for carrying out the method according to one of claims 1 to 6. 9. Architecture (1) according to the preceding claim, wherein the installation (10) further comprises an electricity storage unit (13); the switching unit (22) being adapted to connect the autonomous production source (11) to the storage unit (13) and to connect the storage unit (13) to the network (2) or consumer equipment (12), and to prohibit the charging of the battery by sampling on the network. 10. Architecture (1) according to the preceding claim, wherein the connection means of the installation to the network comprises two separate connection channels (3, 4), the two channels being respectively an electricity withdrawal channel (3). and an injection path (4) of electricity. 11. Architecture (1) according to one of claims 9 or 10, wherein the switching unit (20) comprises a main switch (21), adapted to selectively deliver electricity from the storage unit (13) or from the autonomous production source (11) to the network (2) or equipment (12), and an auxiliary switch (21 ') adapted to selectively connect the autonomous production source (11) to the unit. storage (13) or at the main switch (21), or the battery (13) at the main switch (21). 12. Architecture (1) according to one of claims 9 or 10, comprising a combined switch, adapted to selectively connect the autonomous production source (11) to the storage unit (13), the network (2) or the consumer equipment (12), or the storage unit (13) to the network (2).