METHOD AND DEVICE FOR MANAGING ELECTRICAL ENERGY PRODUCED BY AT LEAST ONE PHOTOVOLTAIC PANEL

Abstract

The invention relates to a method and a device for managing the electrical energy produced by at least one photovoltaic panel in a building connected to an electrical energy supply network, the building comprising an electrical energy consuming device, a switch and a controller. According to the invention, the controller: - obtains (E33) information representative of the capability of the network, - controls (E34, E35) the switch so that the electrical energy supplied by the at least one photovoltaic panel is delivered to the electrical energy consuming device for a given period as a function of the information representative of the capability of the network. Figure to be published with the abstract: Fig. 3

Description

Title of the invention: METHOD AND DEVICE FOR MANAGING ELECTRICAL ENERGY PRODUCED BY AT LEAST ONE PHOTOVOLTAIC PANEL Technical field

[0001] The present invention relates to a method and a device for managing the electrical energy produced by at least one photovoltaic panel. STATE OF PRIOR ART

[0002] The amortization of the investment in a photovoltaic panel installation is generally around ten years depending on the uses and location of the installation. Economic profit cannot therefore be the only argument triggering investment in such an installation. More and more people are sensitive to environmental issues and wish to contribute to the transition to cleaner energy sources. The installation of photovoltaic panels is a concrete way to take part in this transition.

[0003] On the other hand, the trend towards replacing gas boilers with heat pumps, as well as that of thermal vehicles with electric vehicles, leads to an increase in demand for electricity and peak consumption on the network during peak periods. To overcome these peak consumption, electricity production is used from carbon products such as power plants that produce electrical energy from gas or coal.

[0004] Electricity production from carbon products varies depending on the time of day (for example, it is more carbon-intensive at 7 p.m. than at 3 a.m.), the day of the week (it is less carbon-intensive on weekends) and the season (it is more carbon-intensive in winter).

[0005] It should be noted that the CO2 equivalent to produce a kWh of electricity must include imports and losses on the network.

[0006] The electrical energy provided by photovoltaic panels is directly linked to sunshine; it is sometimes difficult to ensure complete autonomy in electrical energy for a building with photovoltaic panels.

[0007] It is particularly desirable to provide a solution which allows people with photovoltaic panels to contribute to a reduction in the production of electricity from carbon products and which in certain cases, guarantees a long-term return on investment in the photovoltaic panels. Statement of the invention

[0008] A method is proposed for managing the electrical energy produced by at least one photovoltaic panel in a building connected to an electrical energy supply network, the building comprising an electrical energy consuming device, a switch and a controller, characterized in that the method comprises the steps of:

[0009] - obtaining, by the controller, information representative of the capability of the network,

[0010] - control by the switch controller so that the electrical energy supplied by at least one photovoltaic panel is delivered to the electrical energy consuming device for a given period based on information representative of the network capability.

[0011] The invention also relates to a device for managing the electrical energy produced by at least one photovoltaic panel in a building connected to an electrical energy supply network, the building comprising an electrical energy consuming device, a switch and a controller, characterized in that the management device comprises:

[0012] - means for obtaining, by the controller, information representative of the network capability,

[0013] - means of control by the controller of the switch so that the energy electricity supplied by at least one photovoltaic panel is delivered to the electrical energy consuming device for a given period based on information representative of the network capability.

[0014] Thus, the management device makes it possible to distribute energy in an optimized manner between the energy supply network and the electrical energy consuming device.

[0015] According to a particular embodiment, the method further comprises the step of control by the controller of the switch so that the electrical energy supplied by the at least one photovoltaic panel is delivered to the electrical energy supply network if the capability of the network is less than a first predetermined threshold and in that the control by the controller of the switch so that the electrical energy supplied by the at least one photovoltaic panel is delivered to the electrical energy consuming device during a given period as a function of the information representative of the capability of the network is immediate or is carried out during a predetermined time interval.

[0016] Thus, the method makes it possible to increase the consistency of the commands with respect to the state of the electrical energy supply network, in order, for example, not to increase the load on the electrical energy supply network to promote self-consumption of energy supplied by at least one photovoltaic panel at an inopportune moment with regard to the state of the electrical energy supply network.

[0017] According to a particular embodiment, the time interval is between 1 hour and 24 hours or between one day and one week.

[0018] Thus, this interval makes it possible to ensure an optimal charge with regard to the capacity of the network and the uses of the electrical energy consuming device, as well as the horizon of the data necessary for decision-making.

[0019] According to a particular embodiment, the capacity of the network is a percentage of power still available compared to a maximum power defined according to the criteria to be favored such as the maximum power of renewable energy on the territory of the electrical energy supply network, the maximum power produced on the territory excluding imports.

[0020] Thus, it is possible to determine the maximum power according to the characteristics of the electricity demand on the electricity supply network, the interest of the users or to adapt this maximum power according to environmental or infrastructure constraints; the method is operational whatever the type of reference which will be used.

[0021] According to a particular embodiment, the decision of the time of the control of the switch is carried out by comparing a ratio between an electrical power delivered by the network Res divided by an operating power of the device with the ratio between the capacity of the network at a first time divided by the capacity of the network at a second time included in the predetermined time interval.

[0022] Thus, this embodiment makes it possible to compare two instants for which the characteristics of the network are different by also integrating the production characteristics of at least one photovoltaic panel.

[0023] According to a particular embodiment, the capability of the network is determined from different tariffs for an electrical consumption of energy from the network.

[0024] Thus, this embodiment makes it possible to obtain information representative of the load of the electrical energy supply network without having to use a server.

[0025] Also provided is a computer program that can be stored on a medium and / or downloaded from a communications network, in order to be read by a processor. This computer program comprises instructions for implementing the method performed by an internet gateway, as mentioned above, when said program is executed by the processor. The invention also relates to an information storage medium storing such a computer program. Brief description of the drawings

[0026] The above-mentioned and other features of the invention will become more apparent from the following description of at least one exemplary embodiment, said description being made in relation to the attached drawings, among which:

[0027] [Fig.l] represents an example of architecture of an electrical energy supply system for a building in which the present invention is implemented;

[0028] [Fig.2] schematically illustrates an example of a hardware arrangement of a controller according to the present invention;

[0029] [Fig.3] illustrates a first example of an algorithm for managing the electrical energy supplied by at least one photovoltaic panel;

[0030] [Fig.4] illustrates a second example of an electrical energy management algorithm provided by at least one photovoltaic panel.

[0031] DETAILED DESCRIPTION OF EMBODIMENTS

[0032] [Fig.l] represents an example of architecture of an electrical energy supply system for a building in which the present invention is implemented.

[0033] The Bat building comprises at least one PV photovoltaic panel, a Conv converter, a Sen power sensor delivered by the PV photovoltaic panel, a Com switch, a Cont controller and a Cmp smart electric meter.

[0034] The converter Conv converts the continuous electrical energy delivered by at least one photovoltaic panel into a 230V alternating signal identical to the alternating signal delivered by an electrical energy supply network Res.

[0035] The alternating signal delivered by the Res electrical energy supply network is delivered to the smart meter Cmp to be retransmitted to the Com switch.

[0036] The smart meter Cmp is for example connected to the controller Cont in order to provide pricing information such as for example off-peak or peak hour pricing. Alternatively, the pricing information is entered by the occupant of the building or obtained from a remote server.

[0037] The Com switch is controlled by the Cont controller.

[0038] The Cont controller is connected to the electrical power sensor Sen and for example to a remote data server Serv.

[0039] The server Serv contains data representative of the electrical energy consumption for all or part of the electrical energy supply network and in particular allows the controller Cont to determine when the production of electricity from carbon products is or will be significant.

[0040] An example of service and data provided by the Serv server is available at the following addresses: https: / / data.rte-france.com / catalog / - / api / consumpti on / Consumption / V1.2 or https: / / data.rte-France.com / eco2mix or https / / www.monecowatt.fr.

[0041] The Com switch is connected to an ECS device consuming electrical energy.

[0042] The ECS device is for example a hot water tank. The hot water tank allows energy to be stored for later use.

[0043] The ECS device is, for example, air conditioning or ventilation equipment, cycle household appliances (washing machines, etc.) or an electric vehicle.

[0044] It should be noted here that the average power of photovoltaic installations installed in private homes is, in France, of the order of 3 kW, which means that the power supplied by the photovoltaic panels is often below the power of the resistance (2 kW) of the Joule effect hot water tank and requires a supplement supplied by the electricity supply network.

[0045] [Fig.2] schematically illustrates an exemplary hardware arrangement of a controller according to the present invention.

[0046] The Cont controller comprises, connected by a communication bus 201: a processor Proc 200; a RAM (Random Access Memory) 203; a ROM (Read Only Memory) 202 or a Flash memory and a network interface 204.

[0047] The processor Proc 200 is capable of executing instructions loaded into the RAM memory 203 from the ROM memory 202, an external memory (such as an SD card), a storage medium (such as the hard disk HDD), or a communication network. When the controller Cont is powered up, the processor Proc 200 is capable of reading instructions from the RAM memory 203 and executing them. These instructions form a computer program causing the processor Proc 200 to implement all or part of the behaviors, algorithms and steps described herein.

[0048] Thus, all or part of the algorithms and steps described herein may be implemented in software form by executing a set of instructions by a programmable machine, such as a DSP (Digital Signal Processor) or a microcontroller or a processor. All or part of the algorithms and steps described herein may also be implemented in hardware form by a machine or a component (chip), such as an FPGA (Field-Programmable Gate Array) or an ASIC (Application-Specific Integrated Circuit). Thus, the Cont controller comprises electronic circuitry adapted and configured to implement the behaviors, algorithms and steps described herein.

[0049] [Fig.3] illustrates a first example of an algorithm for managing the electrical energy supplied by at least one photovoltaic panel.

[0050] The algorithm is executed by the controller Cont.

[0051] In step E30, the controller Cont obtains a measurement of the power delivered by at least one photovoltaic panel PV and checks whether it is non-zero.

[0052] If so, the controller Cont goes to step E31.

[0053] In step E31, the controller Cont obtains from the server Serv a value of the network capability CRes. The network capability CRes is the proportion of power still available. The lower the network capability CRes, the higher the carbon content of the energy consumed in the production of electricity. The capability obtained at this step is denoted CRes(tO).

[0054] The parameter CRes corresponds to the capacity of the network, i.e. the percentage of power PdispOnibie_réseau still available compared to a maximum power PMax which can be defined according to the criteria to be favored (maximum power of "green" energy available on the territory, maximum power produced on the territory excluding imports, whether international or regional, etc.) To simplify, we consider that PMax is a static parameter which does not depend on time. In reality, this parameter can depend on time; for example when it is the maximum power of "green" energy available. This value depends on the irradiance of the day, the meteorology and therefore the time. PMax can thus be variable depending on time provided that it is possible to have an estimate of this parameter for a time window.

[0055] At this same step, the controller Cont checks whether the value of the network capability CRes is greater than 0.

[0056] If the network capability CRes is greater than 0, the controller Cont goes to step E33. If not, the controller Cont goes to step E32.

[0057] In step E32, the controller Cont controls the switch Com so that the energy produced by the at least one photovoltaic panel is injected into the network Res.

[0058] In step E33, the controller Cont checks whether I(t0) < I(tl), with I(t) impact of the load of the ECS device at time t, equivalent to a(t0) < CRes (tO) / CRes(tl).

[0059] We consider 2 instants: the current instant tO at the time when the algorithm is executed and a future instant tl at which the load considered could be carried out. For the evaluation, we consider that instant tl is a favorable moment for the load. For example, from the prediction of the total consumption of the territory at instant tl provided by the server Serv, we can determine the instant tl where the network capability is maximum. The maximum difference between tl and tO depends on the usage.

[0060] For example, the charging of the ECS device is carried out over a time window from t0 to t0 + 3 days. But, in the case where the ECS device is a hot water tank, it is necessary to ensure that users do not run out of hot water at the end of the 3 days. The same reasoning can be used with the electric vehicle. In practice, the duration can be between 1 and 24 hours or between one day and one week.

[0061] For each moment, the impact of the energy consumed on the network is evaluated in the following manner:

[0062] We set: a(t) = Préseau(t) / Pecs or: Préseau(t) = a(t)* PECS where PECS is the operating power of the ECS device and Préseau(t) is the electrical power delivered by the Res network.

[0063] I(t) = PéseauCO / ^available—network(0 * Pecs / (CRes(t) X PmAx) WHERE Pavailable—network(t) CSt the available power of the network at time t0, with input from at least one PV photovoltaic panel, i.e. a(t0) 1:

[0064] I(t0) = a(t0) x Pecs / (CRes(tO)

[0065] For tl, without input from at least one PV photovoltaic panel, that is to say that a(t0) = 1: :

[0066] I(tl) = PECS / (CRes(tl) x PMAX)

[0067] It is then a question of comparing I(t0) and I(tl) and deciding the instant of charge t0 and tl, according to the maximum value.

[0068] We load at t0 if I(t0) < I(tl), a(t0) < CRes(t0) / CRes(tl), the controller Cont goes to step E35. If not, the processor 200 goes to step E34.

[0069] In step E34, the controller Cont controls the switch Com so that the energy supplied by the network is injected into the ECS device at time t1.

[0070] In step E35, the controller Cont controls the switch Com so that the energy produced by the at least one photovoltaic panel is injected into the ECS device at time t0.

[0071] [Fig.4] illustrates a second example of an algorithm for managing the electrical energy supplied by at least one photovoltaic panel.

[0072] In the second exemplary embodiment, it is considered that the measurement of network capability by assuming that the pricing of the energy delivered by the Res network or of the energy produced by the at least one photovoltaic panel and transferred to the Res network is a function inversely proportional to the capability of the Res network.

[0073] Certain photovoltaic equipment cannot provide all of the electrical energy required to completely heat a DHW device when it is a hot water tank.

[0074] One way to increase self-consumption is to combine the energy produced by the at least one photovoltaic panel with the electrical energy delivered by the Res network. This nevertheless leads to an increase in the cost of heating the water in the hot water tank.

[0075] This is all the more true if the load corresponds to a small portion of the PV energy available per day. This depends directly on the use made of domestic hot water in the morning, before the solar contributions of the day.

[0076] In other words, when the charging authorization is given as soon as the energy supplied by the at least one photovoltaic panel is available, a significant portion of the energy used comes from the Res network. If the charging time is short because the volume of water used since the last full charge (carried out the previous night) is low, a significant proportion of the energy will be supplied by the Res network; which will have an impact on the cost of charging since the price of electricity from the network at this time of day is in the majority of cases unfavorable compared to the night rate (note, however, that some offers propose lower prices over a time slot at midday).

[0077] In the worst case, if the power supplied by the PV photovoltaic panels just exceeds the power required during charging of the hot water tank, the energy is almost entirely supplied by the network at a rate which in the majority of offers is higher than the night rate. This would amount to charging the tank during peak hours instead of charging it during off-peak hours.

[0078] The present algorithm nevertheless aims to make it possible to heat the water in a hot water tank partly from the energy supplied by at least one photovoltaic panel.

[0079] Two “instantaneous” costs can be defined depending on when the water in the hot water tank is heated:

[0080] During peak hours with a PV contribution:

[0081] Cs_pv: cost with threshold for triggering the command; this is the sum of the cost of the energy supplied by the Res network and the cost of the energy supplied by the at least one PV photovoltaic panel which is considered zero.

[0082] Cs.pv — EECS XT — EreseAU_HP .Thp + Epv

[0083] Cs_pv = (Pecs "Ps) x Thp x dt

[0084] During off-peak hours without PV photovoltaic panel

[0085] CHC: cost with DHW charge during off-peak hours

[0086] CHC = Eecs x Thc = [3 x Eecs x Thp

[0087] Chc = P x Pecs x Thp xdt

[0088] With:

[0089] Eecs: energy required to charge the hot water tank;

[0090] EpV: energy coming from at least one PV photovoltaic panel;

[0091] Ereseau: energy coming from the Res network;

[0092] TPV: PV rate, TPV = 0;

[0093] Thc: off-peak rate;

[0094] THp: peak hours rate;

[0095] We set: THC= p. THP and P between 0 and 1

[0096] Ps is determined so that CS_PV < CHc

[0097] (PECS - Ps) x THP x dt < [3 x PECs x THPxdt

[0098] (Pecs - Ps) < [3 x Pecs

[0099] Ps > (1 - [3) x Pecs

[0100] By integrating the resale price of PV production, we can establish 3 different costs depending on the conditions.

[0101] 1st case:

[0102] The DHW hot water tank is charged with the production of at least one PV photovoltaic panel at the power produced by the PV photovoltaic panel (|3.PEcs ) and the additional energy is supplied by the network. The current rate is HC (Off-peak hours) for energy supplied by the network.

[0103] The cost of charging with the production of the PV photovoltaic panel over an HC tariff period can be written:

[0104] CPV_HC = CPV + Créseau_HC = |3-PeCsXTpv + (1-[3).PECSXTHC

[0105] As TPV = 0, we have:

[0106] Cpv_hc = (1-|3)xPEcsxTHc

[0107] With:

[0108] Cpv_hc: Cost (instantaneous of the charge by the production of the PV photovoltaic panel supplemented by the Res network at the HC tariff according to |3).

[0109] CPV: Cost of charging by the production of the PV photovoltaic panel, zero since we consider that the production of the PV photovoltaic panel is free.

[0110] CréSeau_Hc ■ Cost of the supplement provided by the network at the HC tariff based on [3.

[0111] Pecs: Nominal power of the balloon

[0112] TPV: PV production price [euros / kWh], TPV = 0

[0113] Thc: Off-peak rate [euros / kWh]

[0114] 2nd case:

[0115] The DHW tank is charged with the PV production at the power produced by the PV photovoltaic panel (|3.PEcs) - The current rate is HP (peak hours) for the energy supplied by the network.

[0116] Similar to the first case, we can establish the cost of the load:

[0117] CPV HP = (1-[3)xPECsxThp

[0118] With:

[0119] Cpv_hP: Cost (instantaneous charge by the production of the PV photovoltaic panel supplemented by the Res network at the HP tariff according to |3).

[0120] Pecs: Nominal power of the balloon [kW]

[0121] Thp: Peak hour rate [euros / kWh]

[0122] 3rd case:

[0123] The heating of the water in the DHW hot water tank is carried out during HC tariff periods. The energy supplied by the PV photovoltaic panel is resold to the network at the tariff applied at time t.

[0124] We can write the cost of the load under these conditions:

[0125] CREv_pv = CHC ■ Price_resale_PV = PecsxThc - P-PecsxTrevente

[0126] With:

[0127] Resale_Price_PV = [3 x PECs x TREVente

[0128] CREv_pv: Cost of charging in the HC tariff period with resale of the production of the PV photovoltaic panel

[0129] Pecs: Nominal power of the balloon [kW]

[0130] Trevente: Resale price of electricity produced by the PV photovoltaic panel [euros / kWh]

[0131] THP: Peak hourly rate [euros / kWh]

[0132] In step E40, the controller Cont checks whether the variable [3 is positive.

[0133] If so, the controller Cont goes to step E41.

[0134] In step E41, the Cont controller checks whether off-peak pricing is applied. If so, the Cont controller goes to step E44. If not, the Cont controller goes to step E42.

[0135] In step E42, the controller Cont checks whether the variable [3 is less than a variable [3o WHERE [30=(Thp - Thc) / (THp - Trevente)-

[0136] If yes, the Cont controller goes to step E46. If no, the Cont controller goes to step E43.

[0137] In step E42, the controller Cont controls the switch Com so that the energy produced by the at least one photovoltaic panel and the energy delivered by the network Res are injected into the ECS device during peak hours.

[0138] In step E44, the controller Cont checks whether the off-peak rate is higher than the resale rate for the energy produced by the at least one photovoltaic panel.

[0139] If yes, the Cont controller goes to step E45. If no, the Cont controller goes to step E46.

[0140] In step E45, the controller Cont controls the switch Com so that the energy produced by the at least one photovoltaic panel and the energy delivered by the network Res are injected into the ECS device during off-peak hours.

[0141] In step E46, the controller Cont controls the switch Com so that the energy produced by the at least one photovoltaic panel is delivered to the Res network and the ECS device is supplied with electrical energy provided by the Res network during off-peak hours.

Claims

Claims

1. Method for managing the electrical energy produced by at least one photovoltaic panel in a building connected to an electrical energy supply network, the building comprising an electrical energy consuming device, a switch and a controller, characterized in that the method comprises the steps of: - obtaining (E33), by the controller, information representative of the capability of the network, - control (E34, E35) by the controller of the switch so that the electrical energy supplied by the at least one photovoltaic panel is delivered to the electrical energy consuming device for a given period as a function of the information representative of the capability of the network.

2. Method according to claim 1, characterized in that the method further comprises the step of control by the controller of the switch so that the electrical energy supplied by the at least one photovoltaic panel is delivered to the electrical energy supply network if the capability of the network is less than a first predetermined threshold and in that the control by the controller of the switch so that the electrical energy supplied by the at least one photovoltaic panel is delivered to the electrical energy consuming device for a given period as a function of the information representative of the capability of the network is immediate or is carried out during a predetermined time interval.

3. Method according to claim 2, characterized in that the time interval is between 1 hour and 24 hours or between one day and one week.

4. Method according to any one of claims 2 to 3, characterized in that the network capability is a percentage of power still available compared to a maximum power defined according to criteria to be favored such as the maximum power of renewable energy on the territory of the electrical energy supply network, the maximum power produced on the territory excluding imports.

5. Method according to any one of claims 2 to 4, characterized in that a decision of an instant of the control of the switch is carried out by comparing a ratio between an electrical power delivered by the network Res divided by an operating power of the device to the ratio between the capacity of the network at a first instant divided by the capacity of the network at a second instant included in the predetermined time interval.

6. Device for managing the electrical energy produced by at least one photovoltaic panel in a building connected to an electrical energy supply network, the building comprising an electrical energy consuming device, a switch and a controller, characterized in that the management device comprises: - means for obtaining, by the controller, information representative of the capability of the network, - means for controlling the switch by the controller so that the electrical energy supplied by the at least one photovoltaic panel is delivered to the electrical energy consuming device for a given period as a function of the information representative of the capability of the network.

7. Computer program product comprising instructions for implementing, by a processor, the method according to any one of claims 1 to 5, when said program is executed by said processor.

8. An information storage medium storing a computer program comprising instructions for implementing, by a processor, the method according to any one of claims 1 to 5, when said program is read and executed by said processor.

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