Evaluation Method, Electronic Device and Computer Readable Storage Medium for Distribution Network Planning

Abstract

The present application discloses an evaluation method, an electronic device, and a computer-readable storage medium for distribution network planning. The method includes: obtaining the planned capacity information of distributed photovoltaics and energy storage within the planned area, the operation information of the distribution network in the planned area, and the calculation parameters of the life-cycle investment benefits; respectively constructing a life-cycle planned investment model for distributed photovoltaics, a life-cycle planned investment model for energy storage, and a revenue model for the life-cycle operation of distributed photovoltaics and energy storage according to the planned capacity information, operation information, and calculation parameters; calculating the investment benefits of the distribution network planning according to the life-cycle planned investment model for distributed photovoltaics, the life-cycle planned investment model for energy storage, and the revenue model, wherein the investment benefits are used to determine whether the distribution network planning is reasonable. The present application considers the life cycle of distribution network planning operation and the investment cost of special scenario planning, realizes the effective calculation of the investment benefits of distribution network planning, and improves the economic benefits of distribution network planning.

Description

Technical Field

[0001] This application relates to the technical field of distribution networks, and in particular to an evaluation method for distribution network planning, an electronic device, and a computer-readable storage medium. Background Art

[0002] At present, power grid companies have invested a large amount of manpower and funds in the planning and construction of distributed photovoltaics and energy storage in distribution networks to achieve the goals of safe, reliable, green, and efficient distribution network construction. However, in the existing calculation of the investment benefits of distributed photovoltaics and energy storage in distribution networks, the planning investment costs in difficult land acquisition areas are often ignored, such as the high land acquisition costs in urban villages, and the evaluation accuracy is insufficient, which is likely to cause investment waste or insufficient funds. Power grid enterprises urgently need an effective planning investment calculation method to clarify the complex corresponding relationship between the input and output of distribution networks, prevent blind investment, and avoid offsetting investment. Studying the input and output of distribution networks, considering the particularity of the planning area, and formulating a targeted investment calculation method are the key issues in the current research in the field of distribution network planning. Summary of the Invention

[0003] This application provides an evaluation method for distribution network planning, an electronic device, and a computer-readable storage medium to solve the problems of insufficient consideration factors and possible unreasonable planning in the existing distribution network planning.

[0004] To solve the above technical problems, this application proposes an evaluation method for distribution network planning, including: obtaining the planned capacity information of distributed photovoltaics and energy storage in the planning area, the operation information of the distribution network in the planning area, and the calculation parameters of the life-cycle investment benefits; respectively constructing a life-cycle planning investment model for distributed photovoltaics, a life-cycle planning investment model for energy storage, and a revenue model for the life-cycle operation of distributed photovoltaics and energy storage according to the planned capacity information, operation information, and calculation parameters; calculating the investment benefits of the distribution network planning according to the life-cycle planning investment model for distributed photovoltaics, the life-cycle planning investment model for energy storage, and the revenue model, where the investment benefits are used to determine whether the distribution network planning is reasonable.

[0005] Optionally, the planned capacity information includes the planned capacity of distributed photovoltaics, the battery capacity of energy storage, and the maximum power of the energy storage inverter; the operation information includes the peak load at the maximum load day, the line maximum load utilization hours, and the annual line active power loss of the line; the calculation parameters include the unit capacity investment cost of distributed photovoltaics, the unit capacity investment cost of energy storage batteries, the maintenance cost of distributed photovoltaics, the annual maintenance cost of energy storage, the planned operation years, the equipment residual value of distributed photovoltaics at the end of the operation period, the equipment residual value of energy storage at the end of the operation period, the discount rate, the equivalent peak power generation time of distributed photovoltaics, the comprehensive electricity price, the planned land area saved, and the land compensation benefit saved.

[0006] Optionally, a full-life cycle planning investment model for distributed PV, a full-life cycle planning investment model for energy storage, and a revenue model for the full-life cycle operation of distributed PV and energy storage are respectively constructed based on the planned capacity information, operation information, and calculation parameters, including: constructing a full-life cycle planning investment model for distributed PV based on the unit capacity investment cost of distributed PV, the planned capacity of distributed PV, the maintenance cost of distributed PV, the discount rate, the residual value of equipment at the end of the operation period of distributed PV, and the planned operation years.

[0007] Optionally, the full-life cycle planning investment model I for distributed PV 1 is: where C DG is the unit capacity investment cost of distributed PV; S DG is the planned capacity of distributed PV; M DG is the maintenance cost of distributed PV; R DG is the residual value of equipment at the end of the operation period of distributed PV; σ is the discount rate; y is the planned operation years; and i is a variable from 1 to y.

[0008] Optionally, a full-life cycle planning investment model for distributed PV, a full-life cycle planning investment model for energy storage, and a revenue model for the full-life cycle operation of distributed PV and energy storage are respectively constructed based on the planned capacity information, operation information, and calculation parameters, including: constructing a full-life cycle planning investment model for energy storage based on the unit capacity investment cost of energy storage battery, the battery capacity of energy storage, the annual maintenance cost of energy storage, the residual value of equipment at the end of the operation period of energy storage, the discount rate, and the planned operation years.

[0009] Optionally, the full-life cycle planning investment model I for energy storage 2 is: where C ESS is the unit capacity investment cost of energy storage battery; S ESS is the battery capacity of energy storage; M ESS is the annual maintenance cost of energy storage; R ESS is the residual value of equipment at the end of the operation period of energy storage.

[0010] Optionally, a full-life cycle planning investment model for distributed PV, a full-life cycle planning investment model for energy storage, and a revenue model for the full-life cycle operation of distributed PV and energy storage are respectively constructed based on the planned capacity information, operation information, and calculation parameters, including: constructing a revenue model for the full-life cycle operation of distributed PV and energy storage based on the planned capacity of distributed PV, the maximum power of the energy storage inverter, the peak load at the maximum load day, the maximum load utilization hours of the line, the annual active power loss of the line, the equivalent peak power generation time of distributed PV, the comprehensive electricity price, the planned land area saved, and the land compensation benefit saved.

[0011] Optionally, the revenue model M for the full-life cycle operation of distributed PV and energy storage is: Where P INV is the maximum power of the energy storage inverter; P max is the peak load at the maximum load day; n 1 is the maximum load utilization hours of the line; W 1 is the annual active power loss of the line; h is the equivalent peak power generation time of distributed PV; P r is the comprehensive electricity price; A is the planned land area saved; E ex is the land compensation benefit saved.

[0012] Optionally, the investment benefit of the distribution network planning is calculated according to the full-life cycle planning investment model of distributed PV, the full-life cycle planning investment model of energy storage, and the revenue model, including: calculating the investment benefit B according to the following formula: B = λM - (1 - λ)(I 1 + I 2 ); where λ is the income expectation weight.

[0013] To solve the above technical problems, the present application proposes an electronic device, including a memory and a processor, the memory is connected to the processor, the memory stores a computer program, and when the computer program is executed by the processor, the above evaluation method for distribution network planning is implemented.

[0014] To solve the above technical problems, the present application proposes a computer-readable storage medium, storing a computer program, and when the computer program is executed, the above evaluation method for distribution network planning is implemented.

[0015] The present application provides an evaluation method, an electronic device, and a computer-readable storage medium for distribution network planning. By using the planned capacity information of distributed photovoltaic and energy storage in the planned area, the operation information of the distribution network in the planned area, and the calculation parameters of the life-cycle investment benefit, a life-cycle planned investment model for distributed photovoltaic, a life-cycle planned investment model for energy storage, and a life-cycle operation revenue model for distributed photovoltaic and energy storage are respectively constructed. Finally, the investment benefit is calculated, and the investment benefit can be used to determine whether the distribution network planning is reasonable. In the above manner, the present application considers the life cycle of distribution network planning operation and the investment cost of special scenario planning, realizes the effective calculation of the investment benefit of distributed photovoltaic and energy storage in the distribution network, and improves the economic benefit of distribution network planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] To more clearly illustrate the technical solutions of the present application, the drawings required for implementation will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0017] Figure 1 It is a schematic flowchart of an embodiment of the evaluation method for distribution network planning of the present application;

[0018] Figure 2 It is a schematic structural diagram of an embodiment of the electronic device of the present application;

[0019] Figure 3 It is a schematic structural diagram of an embodiment of the computer-readable storage medium of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] To enable those skilled in the art to better understand the technical solutions of the present application, the evaluation method, the electronic device, and the computer-readable storage medium for distribution network planning provided by the present application will be further described in detail below with reference to the drawings and specific embodiments.

[0021] The purpose of the present application is to effectively evaluate the life-cycle planned investment benefits of distributed photovoltaic and energy storage in the distribution network and improve the economy of distribution network planning. Based on this, the present application provides an evaluation method for distribution network planning. Please refer to Figure 1 , Figure 1 It is a schematic flowchart of an embodiment of the evaluation method for distribution network planning of the present application. In this embodiment, the evaluation method for distribution network planning may include steps S110 to S130, and the specific steps are as follows:

[0022] S110: Obtain the planned capacity information of distributed photovoltaics and energy storage within the planned area, the operation information of the distribution network within the planned area, and the calculation parameters of the life-cycle investment benefit.

[0023] Among them, the planned capacity information of distributed photovoltaics and energy storage within the planned area may include the planned capacity of distributed photovoltaics, the battery capacity of energy storage, and the maximum power of the energy storage inverter.

[0024] The operation information of the distribution network within the planned area may include the peak load at the maximum load day, the maximum load utilization hours of the line, and the annual active power loss of the line.

[0025] The calculation parameters of the life-cycle investment benefit may include the unit capacity investment cost of distributed photovoltaics, the unit capacity investment cost of energy storage batteries, the maintenance cost of distributed photovoltaics, the annual maintenance cost of energy storage, the planned operation period, the equipment residual value of distributed photovoltaics at the end of the operation period, the equipment residual value of energy storage at the end of the operation period, the discount rate, the equivalent peak power generation time of distributed photovoltaics, the comprehensive electricity price, the planned land area saved, and the land encroachment compensation benefit saved.

[0026] S120: Respectively construct the life-cycle planned investment model of distributed photovoltaics, the life-cycle planned investment model of energy storage, and the revenue model of the life-cycle operation of distributed photovoltaics and energy storage according to the planned capacity information, operation information, and calculation parameters.

[0027] 1) Construct the life-cycle planned investment model of distributed photovoltaics:

[0028] Construct the life-cycle planned investment model of distributed photovoltaics according to the unit capacity investment cost of distributed photovoltaics, the planned capacity of distributed photovoltaics, the maintenance cost of distributed photovoltaics, the discount rate, the equipment residual value of distributed photovoltaics at the end of the operation period, and the planned operation period.

[0029] Optionally, the life-cycle planned investment model I of distributed photovoltaics 1 is:

[0030]

[0031] Among them, C DG is the unit capacity investment cost of distributed photovoltaics; S DG is the planned capacity of distributed photovoltaics; M DG is the maintenance cost of distributed photovoltaics; R DG is the equipment residual value of distributed photovoltaics at the end of the operation period; σ is the discount rate; y is the planned operation period; i is a variable from 1 to y.

[0032] 2) Construct the life-cycle planned investment model of energy storage:

[0033] Construct a full - life - cycle planning investment model for energy storage based on the investment cost per unit capacity of the energy - storage battery, the battery capacity of the energy storage, the annual maintenance cost of the energy storage, the residual value of the equipment at the end of the energy - storage operation period, the discount rate, and the planned operation period.

[0034] Optionally, the full - life - cycle planning investment model I of the energy storage 2 is:

[0035]

[0036] where C ESS is the investment cost per unit capacity of the energy - storage battery; S ESS is the battery capacity of the energy storage; M ESS is the annual maintenance cost of the energy storage; R ESS is the residual value of the equipment at the end of the energy - storage operation period; σ is the discount rate; y is the planned operation period; i is a variable from 1 to y.

[0037] 3) Construct a revenue model for the full - life - cycle operation of distributed photovoltaic and energy storage:

[0038] Construct a revenue model for the full - life - cycle operation of distributed photovoltaic and energy storage based on the planned capacity of the distributed photovoltaic, the maximum power of the energy - storage inverter, the peak load at the maximum - load day, the maximum - load utilization hours of the line, the annual active power loss of the line, the equivalent peak - power generation time of the distributed photovoltaic, the comprehensive electricity price, the planned land - area savings, and the land - encroachment compensation benefit savings.

[0039] Optionally, the revenue model M for the full - life - cycle operation of distributed photovoltaic and energy storage is:

[0040]

[0041] where P INV is the maximum power of the energy - storage inverter; P max is the peak load at the maximum - load day; n 1 is the maximum - load utilization hours of the line; W 1 is the annual active power loss of the line; h is the equivalent peak - power generation time of the distributed photovoltaic; S DG is the planned capacity of the distributed photovoltaic; P r is the comprehensive electricity price; A is the planned land - area savings; E ex is the land - encroachment compensation benefit savings.

[0042] S130: Calculate the investment benefit of the distribution - network planning according to the full - life - cycle planning investment model of the distributed photovoltaic, the full - life - cycle planning investment model of the energy storage, and the revenue model, where the investment benefit is used to judge whether the distribution - network planning is reasonable.

[0043] Calculate the investment benefit B according to the following formula:

[0044] B = λM - (1 - λ)(I 1 + I 2 );

[0045] Where λ is the income expectation weight, generally taken as 0.7.

[0046] This embodiment proposes an evaluation method for distribution network planning. By using the planned capacity information of distributed photovoltaic and energy storage in the planning area, the operation information of the distribution network in the planning area, and the calculation parameters of the life-cycle investment benefit, the life-cycle planning investment model of distributed photovoltaic, the life-cycle planning investment model of energy storage, and the income model of the life-cycle operation of distributed photovoltaic and energy storage are respectively constructed. Finally, the investment benefit is calculated, and the investment benefit can be used to judge whether the distribution network planning is reasonable. In the above way, this application considers the life cycle of distribution network planning operation and the planning investment cost of special scenarios, realizes the effective calculation of the investment benefit of distributed photovoltaic and energy storage in the distribution network, and improves the economic benefit of distribution network planning.

[0047] To better illustrate the solution of this application, the following further explains with specific examples, but the implementation manners of this application are not limited thereto.

[0048] Taking the distribution network of a village in the city in a certain area of the Southern Power Grid as an example, the application calculation of this method is carried out, and the steps are as follows:

[0049] (1) Collect the planned capacity information of distributed photovoltaic and energy storage in the planning area, the operation information of the distribution network in the planning area, and set the calculation parameters of the life-cycle investment benefit. The relevant information is shown in the following table:

[0050] Table 1 Data Table

[0051]

[0052]

[0053] (2) Construct the life-cycle planning investment model I of distributed photovoltaic in the distribution network 1 , and get:

[0054]

[0055] (3) Construct the life-cycle planning investment model I of energy storage in the distribution network 2 , and get:

[0056]

[0057] (4) Construct the life-cycle operation income model M of distributed photovoltaic and energy storage in the distribution network, and get:

[0058]

[0059] (5) Calculate the full - life - cycle investment benefit B of distributed photovoltaic and energy storage in the distribution network through I 1 、I 2 and M, and obtain:

[0060] B = λM-(1 - λ)(I 1 +I 2 ) = 1,232.71 ten - thousand yuan.

[0061] Then, make a judgment through the investment benefit B to determine whether the distribution network planning is reasonable.

[0062] In summary, this application considers the full - life - cycle planning cost and revenue, and can effectively evaluate the planning investment revenue of distributed photovoltaic and energy storage in the distribution network; moreover, considering the land compensation savings benefit in special scenarios, it can adapt to the evaluation of the distribution network planning benefit in areas with difficult land acquisition such as urban villages.

[0063] Based on the above - mentioned evaluation method for distribution network planning, this application also proposes an electronic device. As Figure 2 shown, Figure 2 is a schematic structural diagram of an embodiment of the electronic device of this application. The electronic device 200 may include a memory 21 and a processor 22. The memory 21 is connected to the processor 22. A computer program is stored in the memory 21. When the computer program is executed by the processor 22, the method of any of the above - mentioned embodiments is implemented. Its steps and principles have been introduced in detail in the above - mentioned method and will not be elaborated here.

[0064] In this embodiment, the processor 22 can also be called a CPU (central processing unit). The processor 22 can be an integrated circuit chip with signal - processing capabilities. The processor 22 can also be a general - purpose processor, a digital signal processor (DSP), an application - specific integrated circuit (ASIC), a field - programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components. The general - purpose processor can be a microprocessor or the processor can also be any conventional processor, etc.

[0065] Based on the above - mentioned evaluation method for distribution network planning, this application also proposes a computer - readable storage medium. Please refer to Figure 3 , Figure 3 is a schematic structural diagram of an embodiment of the computer - readable storage medium of this application. A computer program 31 is stored on the computer - readable storage medium 300. When the computer program 31 is executed by the processor, the method of any of the above - mentioned embodiments is implemented. Its steps and principles have been introduced in detail in the above - mentioned method and will not be elaborated here.

[0066] Further, the computer-readable storage medium 300 may also be various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic tape, or an optical disc.

[0067] It can be understood that the specific embodiments described herein are only used to explain the present application, rather than limiting the present application. Additionally, for ease of description, only parts related to the present application rather than all structures are shown in the drawings. The step numbers used in the text are only for convenience of description and do not limit the execution order of the steps. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present application.

[0068] The terms "first", "second", etc. in the present application are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products, or devices.

[0069] Referring to "embodiments" herein means that the specific features, structures, or characteristics described in connection with the embodiments may be included in at least one embodiment of the present application. The phrase appearing in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.

[0070] The above are only the embodiments of the present application, and do not limit the patent scope of the present application. All equivalent structural or equivalent process transformations made by using the content of the specification and drawings of the present application, or directly or indirectly applied in other related technical fields, are equally included in the patent protection scope of the present application.

Claims

1. An evaluation method for distribution network planning, characterized in that, it includes: obtaining the planned capacity information of distributed photovoltaics and energy storage within the planned area, the operation information of the distribution network within the planned area, and the calculation parameters of the life-cycle investment benefits; Construct a full - life - cycle planning investment model for distributed photovoltaic, a full - life - cycle planning investment model for energy storage, and a revenue model for the full - life - cycle operation of distributed photovoltaic and energy storage respectively according to the said planned capacity information, operation information, and calculation parameters; specifically: the full - life - cycle planning investment model I of the distributed photovoltaic 1 is as follows: Among them, C DG is the unit capacity investment cost of distributed photovoltaics; S DG is the planned capacity of distributed photovoltaics; M DG is the maintenance cost of distributed photovoltaics; R DG is the residual value of the equipment at the end of the operation period of distributed photovoltaics; σ is the discount rate; y is the planned operation period; i is a variable from 1 to y; The full-life-cycle planning investment model I of the energy storage 2 is as follows: Among them, C ESS is the unit capacity investment cost of the energy storage battery; S ESS is the battery capacity of the energy storage; M ESS is the annual maintenance cost of the energy storage; R ESS is the residual value of the equipment at the end of the energy storage operation period; The revenue model M for the life-cycle operation of the distributed photovoltaics and energy storage is: Among them, P INV is the maximum power of the energy storage inverter; P max is the peak load on the day of the maximum load; n 1 is the maximum load utilization hours of the line; W 1 is the annual active power loss of the line; h is the equivalent peak power generation time of the distributed photovoltaic; P r is the comprehensive electricity price; A is the planned land area saved; E ex is the benefit of saving land encroachment compensation; calculating the investment benefits of the distribution network planning according to the life-cycle planned investment model of the distributed photovoltaics, the life-cycle planned investment model of the energy storage, and the revenue model, wherein the investment benefits are used to judge whether the distribution network planning is reasonable; The calculating the investment benefits of the distribution network planning according to the life-cycle planned investment model of the distributed photovoltaics, the life-cycle planned investment model of the energy storage, and the revenue model includes: calculating the investment benefit B according to the following formula: B = λM - (1 - λ)(I 1 + I 2 ); where λ is the income expectation weight.

2. The evaluation method for distribution network planning according to claim 1, characterized in that, the planned capacity information includes the planned capacity of the distributed photovoltaics, the battery capacity of the energy storage, and the maximum power of the energy storage inverter; the operation information includes the peak load at the maximum load day, the maximum load utilization hours of the line, and the annual active power loss of the line; the calculation parameters include the unit capacity investment cost of the distributed photovoltaics, the unit capacity investment cost of the energy storage battery, the maintenance cost of the distributed photovoltaics, the annual maintenance cost of the energy storage, the planned operation years, the equipment residual value of the distributed photovoltaics at the end of the operation period, the equipment residual value of the energy storage at the end of the operation period, the discount rate, the equivalent peak power generation time of the distributed photovoltaics, the comprehensive electricity price, the planned land area saved, and the land encroachment compensation benefit saved.

3. The evaluation method for distribution network planning according to claim 2, characterized in that, the constructing the life-cycle planned investment model of the distributed photovoltaics, the life-cycle planned investment model of the energy storage, and the revenue model for the life-cycle operation of the distributed photovoltaics and energy storage according to the planned capacity information, the operation information, and the calculation parameters includes: constructing the life-cycle planned investment model of the distributed photovoltaics according to the unit capacity investment cost of the distributed photovoltaics, the planned capacity of the distributed photovoltaics, the maintenance cost of the distributed photovoltaics, the discount rate, the equipment residual value of the distributed photovoltaics at the end of the operation period, and the planned operation years.

4. The evaluation method for distribution network planning according to claim 1, characterized in that, the constructing the life-cycle planned investment model of the distributed photovoltaics, the life-cycle planned investment model of the energy storage, and the revenue model for the life-cycle operation of the distributed photovoltaics and energy storage according to the planned capacity information, the operation information, and the calculation parameters includes: constructing the life-cycle planned investment model of the energy storage according to the unit capacity investment cost of the energy storage battery, the battery capacity of the energy storage, the annual maintenance cost of the energy storage, the equipment residual value of the energy storage at the end of the operation period, the discount rate, and the planned operation years.

5. The evaluation method for distribution network planning according to claim 1, characterized in that, Constructing a full - life - cycle planning investment model for distributed photovoltaics, a full - life - cycle planning investment model for energy storage, and a revenue model for the full - life - cycle operation of distributed photovoltaics and energy storage respectively according to the planned capacity information, the operation information, and the calculation parameters, including: Constructing the revenue model for the full - life - cycle operation of distributed photovoltaics and energy storage according to the planned capacity of the distributed photovoltaics, the maximum power of the energy storage inverter, the peak load at the maximum - load day, the maximum load utilization hours of the line, the annual active power loss of the line, the equivalent peak power generation time of the distributed photovoltaics, the comprehensive electricity price, the planned land - saving area, and the land - encroachment compensation benefit of land - saving.

6. An electronic device characterized in that it includes a memory and a processor, the memory is connected to the processor, the memory stores a computer program, and when the computer program is executed by the processor, it implements the evaluation method for distribution network planning described in any one of claims 1 - 5.

7. A computer - readable storage medium characterized in that it stores a computer program, and when the computer program is executed, it implements the evaluation method for distribution network planning described in any one of claims 1 - 5.

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