A user-side green electricity configuration method, device, equipment and storage medium

Abstract

The present invention discloses a user-side green electricity configuration method, device, equipment and storage medium. By acquiring the user's total electricity demand, including conventional electricity load demand, cooling load demand and heating load demand, an objective function and its constraints for minimizing the user's annual operating cost are constructed; based on the objective function and constraints, the annual electricity curves of various types of electricity demand are optimized to obtain the optimized annual electricity curves of various types of electricity demand; based on the optimized annual electricity curves of various types of electricity demand, the user's annual green electricity amount is calculated, and it is determined whether the annual green electricity amount meets the green electricity index. If it does, the user-side green electricity configuration is output; if it does not, the annual electricity curve is optimized again until the annual green electricity amount meets the green electricity index. Compared with the prior art, the technical solution of the present invention can output the optimal green electricity configuration according to the user's electricity demand, improve the reasonable configuration of green electricity on the user side, and achieve energy saving.

Description

Technical Field

[0001] The present invention relates to the technical field of power system planning and operation, and in particular to a user-side green electricity configuration method, device, equipment and storage medium. Background Art

[0002] The proportion of green electricity in electricity is one of the important ways to promote the low-carbon development of enterprises. Enterprise users formulate electricity consumption according to production needs and formulate the minimum green electricity index to meet the environmental protection requirements of products. Under the requirements of green electricity indicators, enterprise users choose the appropriate green electricity configuration method to meet the green needs of products and maximize their own benefits. The implementation of green electricity configuration can effectively promote the environmental protection transformation of enterprises and achieve carbon emission reduction.

[0003] However, there is relatively little research on the proportion of green electricity among corporate users. In addition, corporate users obtain electricity through market transactions, and the proportion of green electricity is greatly affected by the market, which cannot completely solve the environmental pressure in corporate production. Summary of the invention

[0004] The technical problem to be solved by the present invention is: to provide a user-side green electricity configuration method, device, equipment and storage medium, which outputs the optimal green electricity configuration according to the user's electricity demand on the basis of meeting the green electricity indicators, and realizes the reasonable configuration of green electricity on the user side.

[0005] In order to solve the above technical problems, the present invention provides a user-side green electricity configuration method, comprising:

[0006] Obtaining the user's total electricity demand, wherein the total electricity demand includes conventional electricity load demand, cooling load demand and heating load demand;

[0007] Constructing an objective function and constraints for minimizing the annual operating cost of users, and optimizing the annual electricity consumption curves of various types of electricity demand based on the objective function and the constraints to obtain the optimized annual electricity consumption curves of various types of electricity demand;

[0008] The user's annual green electricity consumption is calculated based on the optimized annual electricity consumption curve of each type of electricity demand, and it is determined whether the annual green electricity consumption meets the green electricity index. If so, the user-side green electricity configuration is output; if not, the process returns to the step of optimizing the annual electricity consumption curve of each type of electricity demand of the user based on the objective function and the constraint conditions until the annual green electricity consumption meets the green electricity index.

[0009] In a possible implementation, the annual green electricity consumption of a user is calculated based on the optimized annual electricity consumption curve of each type of electricity demand, specifically including:

[0010] The optimized annual electricity consumption curves for each type of electricity demand include the optimized annual electricity consumption curve for conventional electricity load demand, the optimized annual electricity consumption curve for cooling load demand, and the optimized annual electricity consumption curve for heating load demand, wherein each annual electricity consumption curve includes the corresponding externally purchased green electricity, the electricity generated by the user's self-built renewable energy source equipment, and the electricity stored in the energy storage device by the self-built renewable energy equipment;

[0011] The annual green electricity amount of the user is calculated according to the externally purchased green electricity amount, the power generation amount of the user's self-built renewable energy source equipment and the electricity amount stored in the energy storage device by the self-built renewable energy equipment, according to the annual green electricity amount calculation formula, wherein the annual green electricity amount calculation formula is as follows:

[0012] ;

[0013] ;

[0014] In the formula, is the total annual green electricity, For the external purchase of green electricity on day i, is the power generation of the user's self-built renewable energy equipment on the i-th day, i is the number of days, represents the utilization coefficient of the i-th self-built renewable energy equipment, It represents the amount of electricity stored in the energy storage device by the self-built renewable energy equipment on day i, and are the charge and discharge coefficients, Indicates the amount of electricity lost after passing through the energy storage device.

[0015] In a possible implementation, determining whether the annual green electricity amount meets the green electricity index specifically includes:

[0016] Calculate the proportion of the annual green electricity volume in the user's total electricity demand, and determine whether the proportion is not less than the green electricity index. If so, it is considered that the green electricity index is met. The calculation formula is as follows:

[0017] ;

[0018] ;

[0019] In the formula, α is the user's lowest green electricity index, β is the user's actual green electricity ratio, The annual green electricity is the total electricity demand.

[0020] In a possible implementation, an objective function for minimizing the user's annual operating cost is constructed, wherein the objective function is as follows:

[0021] ;

[0022] In the formula, The annual electricity cost of the user, The total annual investment cost for building renewable energy and energy storage equipment is To build renewable energy and energy storage equipment annual operation and maintenance costs, The total annual investment cost of the cold and heat storage equipment to be built, The annual operation and maintenance costs of the constructed cold and heat storage equipment, The annual transaction fee for users to meet the green electricity indicators.

[0023] In one possible implementation, constraints of the objective function of minimizing the user's annual operating costs are constructed, wherein the constraints include user-built renewable energy constraints, electrochemical energy storage equipment constraints, user-built cold and heat storage equipment constraints, and supply and demand balance constraints.

[0024] The embodiment of the present invention also provides a user-side green electricity configuration device, including: an electricity demand acquisition module, an optimization module and a green electricity configuration output module;

[0025] The power demand acquisition module is used to acquire the total power demand of the user, wherein the total power demand includes conventional power load demand, cooling load demand and heating load demand;

[0026] The optimization module is used to construct an objective function and its constraints for minimizing the annual operating cost of users, and optimize the annual electricity consumption curves of various types of electricity demand based on the objective function and the constraints to obtain the optimized annual electricity consumption curves of various types of electricity demand;

[0027] The green electricity configuration output module is used to calculate the user's annual green electricity consumption based on the optimized annual electricity consumption curve of each type of electricity demand, and determine whether the annual green electricity consumption meets the green electricity index. If so, the user-side green electricity configuration is output; if not, the module returns to the step of optimizing the annual electricity consumption curve of each type of electricity demand of the user based on the objective function and the constraint conditions until the annual green electricity consumption meets the green electricity index.

[0028] In a possible implementation, the green electricity configuration output module is used to calculate the annual green electricity amount of the user based on the optimized annual electricity consumption curve of each type of electricity demand, specifically including:

[0029] The optimized annual electricity consumption curves for each type of electricity demand include the optimized annual electricity consumption curve for conventional electricity load demand, the optimized annual electricity consumption curve for cooling load demand, and the optimized annual electricity consumption curve for heating load demand, wherein each annual electricity consumption curve includes the corresponding externally purchased green electricity, the electricity generated by the user's self-built renewable energy source equipment, and the electricity stored in the energy storage device by the self-built renewable energy equipment;

[0030] According to the externally purchased green electricity, the power generation of the user's self-built renewable energy source equipment and the electricity stored in the energy storage device by the self-built renewable energy equipment, the user's annual green electricity is calculated according to the annual green electricity calculation formula, wherein the annual green electricity calculation formula is as follows:

[0031] ;

[0032] ;

[0033] In the formula, is the annual total green electricity, is the external purchase of green electricity on day i, is the power generation of the user's self-built renewable energy equipment on the i-th day, i is the number of days, represents the utilization coefficient of the i-th self-built renewable energy equipment, It represents the amount of electricity stored in the energy storage device by the self-built renewable energy equipment on day i, and are the charge and discharge coefficients, Indicates the amount of electricity lost after passing through the energy storage device.

[0034] In a possible implementation, the green electricity configuration output module is used to determine whether the annual green electricity amount meets the green electricity index, specifically including:

[0035] Calculate the proportion of the annual green electricity volume in the user's total electricity demand, and determine whether the proportion is not less than the green electricity index. If so, it is considered that the green electricity index is met. The calculation formula is as follows:

[0036] ;

[0037] ;

[0038] In the formula, α is the user's lowest green electricity index, β is the user's actual green electricity ratio, The annual green electricity is the total electricity demand.

[0039] In a possible implementation, the optimization module is used to construct an objective function for minimizing the user's annual operating cost, wherein the objective function is as follows:

[0040] ;

[0041] In the formula, The annual electricity cost of the user, The total annual investment cost for building renewable energy and energy storage equipment is To build renewable energy and energy storage equipment annual operation and maintenance costs, The total annual investment cost of the cold and heat storage equipment to be built, The annual operation and maintenance costs of the constructed cold and heat storage equipment, The annual transaction fee for users to meet the green electricity indicators.

[0042] In one possible implementation, the optimization module is used to construct constraint conditions for the objective function of minimizing the user's annual operating costs, wherein the constraint conditions include user-built renewable energy constraints, electrochemical energy storage equipment constraints, user-built cold and heat storage equipment constraints, and supply and demand balance constraints.

[0043] An embodiment of the present invention further provides a terminal device, comprising a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the user-side green electricity configuration method as described in any one of the above items is implemented.

[0044] An embodiment of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute any one of the user-side green electricity configuration methods described above.

[0045] Compared with the prior art, the user-side green electricity configuration method, device, equipment and storage medium of the embodiment of the present invention have the following beneficial effects:

[0046] By obtaining the total electricity demand of the user, wherein the total electricity demand includes conventional electricity load demand, cooling load demand and heating load demand; constructing the objective function and its constraints for minimizing the annual operating cost of the user, and optimizing the annual electricity curve of each type of electricity demand based on the objective function and the constraints, obtaining the optimized annual electricity curve of each type of electricity demand, calculating the annual green electricity of the user based on the optimized annual electricity curve of each type of electricity demand, and judging whether the annual green electricity meets the green electricity index, if it does, outputting the user-side green electricity configuration, if not, returning to the step: optimizing the annual electricity curve of each type of electricity demand of the user based on the objective function and the constraints until the annual green electricity meets the green electricity index. Compared with the prior art, the technical solution of the present invention can output the optimal green electricity configuration according to the user's electricity demand, and realize the reasonable configuration of green electricity on the user side. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 It is a flowchart of an embodiment of a user-side green electricity configuration method provided by the present invention;

[0048] Figure 2 It is a structural schematic diagram of an embodiment of a user-side green electricity configuration device provided by the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] Example 1

[0051] See also Figure 1 , Figure 1 FIG. 1 is a flow chart of an embodiment of a method for configuring green electricity on a user side provided by the present invention. Figure 1 As shown, the method includes steps 101 to 104, which are specifically as follows:

[0052] Step 101: Obtain the total electricity demand of the user, wherein the total electricity demand includes conventional electricity load demand, cooling load demand and heating load demand.

[0053] In one embodiment, the user's total electricity demand includes conventional electricity load demand, cooling load demand and heating load demand, among which, the conventional electricity load demand mainly includes the electricity used for production and the electricity consumed for daily lighting, etc., and does not include the electricity demand for cooling and heating; the cooling load demand is mainly the electricity consumed by electric refrigeration; the heating load demand is mainly the electricity consumed by electric heating.

[0054] In one embodiment, the calculation formula for the total electricity demand is as follows:

[0055] ;

[0056] In the formula, The total electricity demand of users. For normal electricity consumption, The power required for electric refrigeration is The amount of electricity required for electric heating.

[0057] In one embodiment, the user meets the total electricity demand based on external purchase of green electricity, self-built renewable energy equipment and multi-form energy storage equipment.

[0058] Step 102: construct an objective function and constraints for minimizing the user's annual operating costs, and optimize the annual electricity consumption curves of various types of electricity demand based on the objective function and the constraints to obtain optimized annual electricity consumption curves of various types of electricity demand.

[0059] In one embodiment, an objective function is constructed with the user's annual operating cost minimized, wherein the user's annual operating cost includes the user's annual electricity cost, the annual total investment cost and annual operation and maintenance cost of building renewable energy and energy storage equipment, the annual total investment cost and annual operation and maintenance cost of building cold and heat storage equipment, and the user's annual transaction cost when the green electricity index is met.

[0060] In one embodiment, the constructed objective function is as follows:

[0061] ;

[0062] In the formula, The annual electricity cost of the user, The total annual investment cost for building renewable energy and energy storage equipment is To build renewable energy and energy storage equipment annual operation and maintenance costs, The total annual investment cost of the cold and heat storage equipment to be built, The annual operation and maintenance costs of the constructed cold and heat storage equipment, The annual transaction fee for users to meet the green electricity indicators.

[0063] when >0, it means that additional green electricity needs to be purchased. <0, indicating that income can be obtained by selling green electricity, thus reducing annual investment.

[0064] In one embodiment, based on the objective function of minimizing the user's annual operating costs, constraints are constructed, wherein the constraints include user-built renewable energy constraints, electrochemical energy storage equipment constraints, user-built cold and heat storage equipment constraints, and supply and demand balance constraints.

[0065] In one embodiment, the renewable energy constraints set by the user are as follows:

[0066] ;

[0067] ;

[0068] In the formula, The annual electricity generation of the renewable energy equipment under construction. Install renewable energy capacity for users, Indicates the annual effective utilization hours of renewable energy equipment. is the installation factor, represents the installation of the i-th renewable energy equipment, It means that the i-th renewable energy equipment will not be installed. represents the rated installed capacity of the i-th renewable energy source. M is the number of renewable sources constructed.

[0069] In one embodiment, the electrochemical energy storage device is constrained as follows:

[0070] ;

[0071] ;

[0072] In the formula, and They represent the charging and discharging power of the energy storage device respectively. At any time, charging and discharging of an energy storage device can only occur once. Indicates the charge and discharge interval, Indicates the amount of electricity stored in the energy storage device. and are the minimum and maximum storage capacity of the energy storage device, is the installation factor, Indicates installation, It means not to install.

[0073] formula It is the charge and discharge power limit.

[0074] formula It is the power limit of energy storage equipment.

[0075] In one embodiment, in order to improve energy efficiency, the user builds heat storage and cold storage equipment to meet the demand for heat and cold. Therefore, the user is set to build cold and heat storage equipment constraints as shown below:

[0076] ;

[0077] ;

[0078] ;

[0079] In the formula, j represents heat storage or cold storage equipment, H is the amount of cold or heat stored, and denote the minimum and maximum installed capacity of device j, respectively, represents the annual power consumption of device j. and They represent the minimum and maximum annual power consumption of device j, represents the annual utilization hours of equipment j, represents the heating or cooling efficiency of equipment j, represents the installation factor, Indicates installation, It means not to install.

[0080] In one embodiment, after the user builds renewable energy equipment and multi-form energy storage equipment, the user needs to re-satisfy the supply and demand balance constraints, which are as follows:

[0081] ;

[0082] In the formula, is the external purchase of green electricity, j represents heat storage or cold storage equipment, represents the annual power consumption of device j, and It is the annual charge and discharge capacity of the electrochemical energy storage device.

[0083] In one embodiment, the annual electricity consumption curve of each type of electricity demand is optimized based on the objective function and the constraints. By solving the objective function through a heuristic algorithm or a CPLEX solver, the optimized annual electricity consumption curve of each type of electricity demand can be obtained, wherein the optimized annual electricity consumption curve of each type of electricity demand includes the optimized annual electricity consumption curve of conventional electricity load demand, the optimized annual electricity consumption curve of cooling load demand and the optimized annual electricity consumption curve of heating load demand.

[0084] In one embodiment, each type of annual electricity consumption curve includes the corresponding externally purchased green electricity, the electricity generated by the user's self-built renewable energy source equipment, and the electricity stored in the energy storage device by the self-built renewable energy equipment, and the horizontal axis of the annual electricity consumption curve is in days, and the vertical axis is the corresponding electricity value.

[0085] Step 103: Calculate the user's annual green electricity consumption based on the optimized annual electricity consumption curve of each type of electricity demand, and determine whether the annual green electricity consumption meets the green electricity index. If so, output the user-side green electricity configuration; if not, return to step 104: Optimize the annual electricity consumption curve of each type of electricity demand of the user based on the objective function and the constraint conditions until the annual green electricity consumption meets the green electricity index.

[0086] In one embodiment, according to the externally purchased green electricity, the power generation of the user's self-built renewable energy device, and the electricity stored in the energy storage device by the self-built renewable energy device corresponding to the optimized annual electricity curve of each type of electricity demand, corresponding data is obtained from the optimized annual electricity curve of each type of electricity demand, and the data is substituted into the annual green electricity calculation formula to calculate the user's annual green electricity, wherein the annual green electricity calculation formula is as follows:

[0087] ;

[0088] ;

[0089] In the formula, is the annual total green electricity, is the external purchase of green electricity on day i, is the power generation of the user's self-built renewable energy equipment on the i-th day, i is the number of days, represents the utilization coefficient of the i-th self-built renewable energy equipment, It represents the amount of electricity stored in the energy storage device by the self-built renewable energy equipment on day i, and They are charge and discharge coefficients Indicates the amount of electricity lost after passing through the energy storage device.

[0090] In one embodiment, in order to produce products that meet environmental protection requirements, users usually set a certain green electricity ratio to ensure the low carbon nature of the products. The user's purchased green electricity and the conditions for self-built renewable energy equipment and energy storage equipment are comprehensively considered to calculate the user's actual green electricity ratio. Therefore, in this embodiment, it is judged whether the annual green electricity meets the green electricity index. Specifically, based on the obtained annual green electricity of the user, the proportion of the annual green electricity in the user's total electricity demand is calculated, and it is judged whether the proportion is not less than the green electricity index. If so, it is considered that the green electricity index is met. The calculation formula is as follows:

[0091] ;

[0092] ;

[0093] In the formula, α is the user's lowest green electricity index, β is the user's actual green electricity ratio, The annual green electricity is the total electricity demand.

[0094] In this embodiment, the user's green electricity ratio in actual production should meet the minimum green electricity index. However, when β>α, the user generates income by trading excess quotas. The larger β is, the greater the income will be, and the investment in equipment will also increase; on the contrary, when β≤α, the user needs to purchase additional quotas from other users, or add renewable energy equipment and energy storage equipment. Therefore, renewable energy equipment and energy storage equipment should be reasonably configured to minimize the total cost of users while meeting the quota index.

[0095] In one embodiment, when it is determined that the annual green electricity volume does not meet the green electricity index, the annual electricity consumption curves of various types of electricity demand of users are continuously optimized based on the objective function and the constraints to obtain new optimized annual electricity consumption curves of various types of electricity demand of users, until the annual green electricity volume calculated based on the optimized annual electricity consumption curve meets the green electricity index, and the user-side green electricity configuration is output, wherein the user-side green electricity configuration includes the amount of green electricity purchased from outside and the power generation of self-built renewable energy equipment minus the loss of energy storage equipment.

[0096] Example 2

[0097] See also Figure 2 , Figure 2 : is a structural diagram of an embodiment of a user-side green electricity configuration device provided by the present invention, such as Figure 2 As shown, the structure includes a power demand acquisition module 201, an optimization module 202 and a green power configuration output module 203, which are specifically as follows:

[0098] The electricity demand acquisition module 201 is used to acquire the total electricity demand of the user, wherein the total electricity demand includes conventional electricity load demand, cooling load demand and heating load demand.

[0099] The optimization module 202 is used to construct an objective function and its constraints for minimizing the user's annual operating costs, and optimize the annual electricity consumption curves of various types of electricity demand based on the objective function and the constraints to obtain the optimized annual electricity consumption curves of various types of electricity demand.

[0100] The green electricity configuration output module 203 is used to calculate the user's annual green electricity consumption based on the optimized annual electricity consumption curve of each type of electricity demand, and determine whether the annual green electricity consumption meets the green electricity index. If so, the user-side green electricity configuration is output; if not, the step of optimizing the annual electricity consumption curve of each type of electricity demand of the user based on the objective function and the constraint conditions is returned until the annual green electricity consumption meets the green electricity index.

[0101] In one embodiment, the green electricity configuration output module 203 is used to calculate the user's annual green electricity based on the optimized annual electricity curves of various types of electricity demand, specifically including: the optimized annual electricity curves of various types of electricity demand include the optimized annual electricity curves of conventional electric load demand, the optimized annual electricity curves of cold load demand and the optimized annual electricity curves of heat load demand, wherein each annual electricity curve includes the externally purchased green electricity corresponding to the type, the power generation of the user's self-built renewable source equipment and the power stored in the energy storage device by the self-built renewable energy equipment; according to the externally purchased green electricity, the power generation of the user's self-built renewable source equipment and the power stored in the energy storage device by the self-built renewable energy equipment, the annual green electricity of the user is calculated according to the annual green electricity calculation formula, wherein the annual green electricity calculation formula is as follows:

[0102] ;

[0103] ;

[0104] In the formula, is the annual total green electricity, is the external purchase of green electricity on day i, is the power generation of the user's self-built renewable energy equipment on the i-th day, i is the number of days, represents the utilization coefficient of the i-th self-built renewable energy equipment, It represents the amount of electricity stored in the energy storage device by the self-built renewable energy equipment on day i, and are the charge and discharge coefficients, Indicates the amount of electricity lost after passing through the energy storage device.

[0105] In one embodiment, the green electricity configuration output module 203 is used to determine whether the annual green electricity meets the green electricity index, specifically including: calculating the proportion of the annual green electricity in the total electricity demand of the user, and determining whether the proportion is not less than the green electricity index. If so, it is considered that the green electricity index is met; the calculation formula is as follows:

[0106] ;

[0107] ;

[0108] In the formula, α is the user's lowest green electricity index, β is the user's actual green electricity ratio, The annual green electricity is the total electricity demand.

[0109] In one embodiment, the optimization module 202 is used to construct an objective function for minimizing the annual operating cost of the user, wherein the objective function is as follows:

[0110] ;

[0111] In the formula, The annual electricity cost of the user, The total annual investment cost for building renewable energy and energy storage equipment is To build renewable energy and energy storage equipment annual operation and maintenance costs, The total annual investment cost of the cold and heat storage equipment to be built, The annual operation and maintenance costs of the constructed cold and heat storage equipment, The annual transaction fee for users to meet the green electricity indicators.

[0112] In one embodiment, the optimization module 202 is used to construct constraint conditions for the objective function of minimizing the user's annual operating costs, wherein the constraint conditions include user-built renewable energy constraints, electrochemical energy storage equipment constraints, user-built cold and heat storage equipment constraints, and supply and demand balance constraints.

[0113] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the device described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0114] It should be noted that the above-mentioned embodiments of the user-side green electricity configuration device are merely illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0115] Based on the above-mentioned embodiment of the user-side green electricity configuration method, another embodiment of the present invention provides a user-side green electricity configuration terminal device, which includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the user-side green electricity configuration method of any embodiment of the present invention is implemented.

[0116] Exemplarily, in this embodiment, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to complete the present invention. The one or more modules may be a series of computer program instruction segments capable of completing specific functions, which are used to describe the execution process of the computer program in the user-side green electricity configuration terminal device.

[0117] The user-side green electricity configuration terminal device may be a computing device such as a desktop computer, a notebook, a palmtop computer, a cloud server, etc. The user-side green electricity configuration terminal device may include, but is not limited to, a processor and a memory.

[0118] The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the user-side green electricity configuration terminal device, and uses various interfaces and lines to connect various parts of the entire user-side green electricity configuration terminal device.

[0119] The memory can be used to store the computer program and / or module, and the processor realizes various functions of the user-side green electricity configuration terminal device by running or executing the computer program and / or module stored in the memory, and calling the data stored in the memory. The memory can mainly include a program storage area and a data storage area, wherein the program storage area can store an operating system, at least one application required for a function, etc.; the data storage area can store data created according to the use of the mobile phone, etc. In addition, the memory can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), at least one disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0120] Based on the above-mentioned embodiment of the user-side green electricity configuration method, another embodiment of the present invention provides a storage medium, wherein the storage medium includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute the user-side green electricity configuration method of any embodiment of the present invention.

[0121] In this embodiment, the storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0122] In summary, the present invention provides a user-side green electricity configuration method, device, equipment and storage medium, which obtains the user's total electricity demand, wherein the total electricity demand includes conventional electricity load demand, cooling load demand and heating load demand; constructs an objective function and its constraints for minimizing the user's annual operating cost, and optimizes the annual electricity curves of various types of electricity demand based on the objective function and the constraints to obtain the optimized annual electricity curves of various types of electricity demand, calculates the user's annual green electricity based on the optimized annual electricity curves of various types of electricity demand, and determines whether the annual green electricity meets the green electricity index. If it does, output the user-side green electricity configuration, and if it does not, return to the step: optimize the annual electricity curves of various types of electricity demand based on the objective function and the constraints until the annual green electricity meets the green electricity index. Compared with the prior art, the technical solution of the present invention can output the optimal green electricity configuration according to the user's electricity demand, and realize the reasonable configuration of user-side green electricity.

[0123] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and substitutions can be made without departing from the technical principles of the present invention. These improvements and substitutions should also be regarded as the scope of protection of the present invention.

Claims

1. A user-side green electricity configuration method, characterized in that: include: Obtaining the user's total electricity demand, wherein the total electricity demand includes conventional electricity load demand, cooling load demand and heating load demand; Construct an objective function and constraints for minimizing the user's annual operating costs, where the constraints include user-built renewable energy constraints, electrochemical energy storage equipment constraints, user-built cold and heat storage equipment constraints, and supply and demand balance constraints; user-built renewable energy constraints are as follows: 0≤Q U←g ≤U h S T_rated ; In the formula, Q U←g is the annual power generation of the renewable energy equipment to be constructed, S T_rated Installed renewable energy capacity for users, U h Represents the annual effective utilization hours of renewable energy equipment, y i is the installation factor, y i =1 means the i-th renewable energy equipment is installed, y i = 0 means that the i-th renewable energy equipment is not installed, S rated,i represents the rated installed capacity of the i-th renewable energy source, M is the number of renewable sources constructed; And based on the objective function and the constraint conditions, the annual electricity consumption curves of various types of electricity demand are optimized to obtain the optimized annual electricity consumption curves of various types of electricity demand; wherein the optimized annual electricity consumption curves of various types of electricity demand include the optimized annual electricity consumption curves of conventional electric load demand, the optimized annual electricity consumption curves of cooling load demand and the optimized annual electricity consumption curves of heating load demand, and each annual electricity consumption curve includes the corresponding externally purchased green electricity, the power generated by the user's self-built renewable energy source equipment and the electricity stored in the energy storage device by the self-built renewable energy equipment; The user's annual green electricity quantity is calculated based on the optimized annual electricity consumption curve of each type of electricity demand, specifically including: according to the externally purchased green electricity quantity, the power generation of the user's self-built renewable source equipment and the electricity stored in the energy storage device by the self-built renewable energy equipment, the user's annual green electricity quantity is calculated according to the annual green electricity quantity calculation formula; the annual green electricity quantity calculation formula is as follows: In the formula, Q Green is the total annual green electricity, Q G←g,i is the external green electricity purchased on day i, Q U←g,i is the power generation of the user's self-built renewable energy equipment on the i-th day, i is the number of days, σ U,i represents the utilization coefficient of the i-th self-built renewable energy equipment, Q ′ U←g,i represents the amount of electricity stored in the energy storage device by the self-built renewable energy equipment on day i, η ch and η dch They are the charge and discharge coefficient, Q ′ U←g,i (1-η ch η dch ) represents the amount of electricity lost after passing through the energy storage device; And determine whether the annual green electricity amount meets the green electricity index. If so, output the user-side green electricity configuration. If not, return to step: optimize the annual electricity consumption curve of each type of user electricity demand based on the objective function and the constraint conditions until the annual green electricity amount meets the green electricity index.

2. A user-side green electricity configuration method as claimed in claim 1, characterized in that: Determine whether the annual green electricity volume meets the green electricity index, specifically including: Calculate the proportion of the annual green electricity consumption in the user's total electricity demand, and determine whether the proportion is not less than the green electricity index. If so, it is considered that the green electricity index is met. The calculation formula is as follows: β≥α； In the formula, α is the user's lowest green electricity index, β is the user's actual green electricity ratio, Q Green is the annual green electricity, Q Demand is the total electricity demand.

3. A user-side green electricity configuration method as claimed in claim 1, characterized in that: Construct an objective function to minimize the user's annual operating cost, where the objective function is as follows: minf cost =f ec +f Rs_in +f Rs_op +f s_in +f s_op +f trs ; In the formula, f ec is the user's annual electricity cost, f Rs_in The total annual investment cost for building renewable energy and energy storage equipment, f Rs_op Annual operation and maintenance costs for renewable energy and energy storage equipment, f s_in is the total annual investment cost of the cold and heat storage equipment, f s_op is the annual operation and maintenance cost of the constructed cold and heat storage equipment, f trs The annual transaction fee for users to meet the green electricity indicators.

4. A user-side green electricity configuration device, characterized in that: include: Electricity demand acquisition module, optimization module and green electricity configuration output module; The power demand acquisition module is used to acquire the total power demand of the user, wherein the total power demand includes conventional power load demand, cooling load demand and heating load demand; The optimization module is used to construct the objective function and its constraints for minimizing the annual operating cost of the user, wherein the constraints include the renewable energy constraints constructed by the user, the electrochemical energy storage equipment constraints, the cold and heat storage equipment constraints constructed by the user, and the supply and demand balance constraints; the renewable energy constraints constructed by the user are as follows: 0≤Q U←g ≤U h S T_rated ; In the formula, Q U←g is the annual power generation of the renewable energy equipment to be constructed, S T_rated Installed renewable energy capacity for users, U h Represents the annual effective utilization hours of renewable energy equipment, y i is the installation factor, y i =1 means the i-th renewable energy equipment is installed, y i = 0 means that the i-th renewable energy equipment is not installed, S rated,i represents the rated installed capacity of the i-th renewable energy source, M is the number of renewable sources constructed; And based on the objective function and the constraint conditions, the annual electricity consumption curves of various types of electricity demand are optimized to obtain the optimized annual electricity consumption curves of various types of electricity demand; wherein the optimized annual electricity consumption curves of various types of electricity demand include the optimized annual electricity consumption curves of conventional electric load demand, the optimized annual electricity consumption curves of cooling load demand and the optimized annual electricity consumption curves of heating load demand, and each annual electricity consumption curve includes the corresponding externally purchased green electricity, the power generated by the user's self-built renewable energy source equipment and the electricity stored in the energy storage device by the self-built renewable energy equipment; The green electricity configuration output module is used to calculate the user's annual green electricity based on the optimized annual electricity curve of each type of electricity demand, specifically including: according to the externally purchased green electricity, the power generation of the user's self-built renewable source equipment and the electricity stored in the energy storage device by the self-built renewable energy equipment, according to the annual green electricity calculation formula, calculate the user's annual green electricity; the annual green electricity calculation formula is as follows: In the formula, Q Green is the total annual green electricity, Q G←g,i is the external green electricity purchased on day i, Q U←g,i is the power generation of the user's self-built renewable energy equipment on the i-th day, i is the number of days, σ u,i represents the utilization coefficient of the i-th self-built renewable energy equipment, Q ′ U←g,i represents the amount of electricity stored in the energy storage device by the self-built renewable energy equipment on day i, η ch and η dch They are the charge and discharge coefficient, Q ′ u←g,i (1-η ch η dch ) represents the amount of electricity lost after passing through the energy storage device; And determine whether the annual green electricity amount meets the green electricity index. If so, output the user-side green electricity configuration. If not, return to step: optimize the annual electricity consumption curve of each type of user electricity demand based on the objective function and the constraint conditions until the annual green electricity amount meets the green electricity index.

5. A user-side green electricity configuration device as claimed in claim 4, characterized in that: The green electricity configuration output module is used to determine whether the annual green electricity quantity meets the green electricity index, and specifically includes: Calculate the proportion of the annual green electricity consumption in the user's total electricity demand, and determine whether the proportion is not less than the green electricity index. If so, it is considered that the green electricity index is met. The calculation formula is as follows: β≥α； In the formula, α is the user's lowest green electricity index, β is the user's actual green electricity ratio, Q Green is the annual green electricity, Q Demand is the total electricity demand.

6. A terminal device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the user-side green electricity configuration method according to any one of claims 1 to 3 when executing the computer program.

7. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the user-side green electricity configuration method according to any one of claims 1 to 3.

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