Distributed photovoltaic access scheme evaluation method and device, electronic equipment and storage medium

Abstract

The invention discloses a distributed photovoltaic access scheme evaluation method and device, electronic equipment and a storage medium. The method comprises the following steps of: simulating and calculating operation data of each branch of the power distribution network under each distributed photovoltaic access scheme in a preset time period and electric power of regional distribution network users of the power distribution network in the preset time period by constructing a network frame model of the power distribution network; according to the method, a low-carbon benefit index, a safety and stability index and an economic index of each distributed photovoltaic access scheme are constructed, and then a scheme total score of each distributed photovoltaic access scheme is calculated according to the low-carbon benefit index, the safety and stability index and the economic index; therefore, the method comprehensively considers multiple indexes of carbon emission reduction benefit, safety, stability and economy brought by the distributed photovoltaic to the power distribution network, and accurately and comprehensively evaluates the scheme of accessing the distributed photovoltaic to the power distribution network.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive benefit evaluation of power distribution systems, and in particular to an evaluation method, device, electronic equipment and storage medium for a distributed photovoltaic access solution. Background Art

[0002] As an important member of distributed new energy, distributed photovoltaics will generate carbon emissions during the stages of material production, transportation and power station construction. However, the electricity generated by distributed photovoltaics replaces part of the electricity transmitted from the upstream power source. Since the carbon emissions generated by distributed photovoltaics with the same amount of electricity are far less than those of thermal power generation, the use of distributed photovoltaics will reduce the carbon emissions of distribution network electricity consumption compared to direct power supply from the upstream power source. If the reduced carbon emissions are called the carbon emission reduction benefit of distributed photovoltaics, then distributed photovoltaic power generation has a very strong carbon emission reduction benefit.

[0003] However, current research, when constructing an evaluation index system for distributed photovoltaic access to distribution networks, mainly focuses on the safety and stability of photovoltaic access to distribution networks and the economy of building photovoltaics, and does not fully consider the carbon emission reduction benefits brought by distributed photovoltaics to the distribution network. In other words, existing research is not comprehensive enough in constructing an evaluation index system for distributed photovoltaic access to distribution networks.

[0004] Therefore, how to consider multiple indicators such as the carbon emission reduction benefits, safety and stability, and economy brought by distributed photovoltaics to the distribution network to evaluate the distributed photovoltaic access distribution network solution has become an urgent problem that needs to be solved. Summary of the invention

[0005] The embodiments of the present invention provide a method, device, electronic device and storage medium for evaluating a distributed photovoltaic access scheme. By comprehensively considering the carbon emission reduction benefits, safety and stability, and economic efficiency brought by distributed photovoltaics to the distribution network during the scheme evaluation process, the scheme of distributed photovoltaic access to the distribution network can be accurately and comprehensively evaluated.

[0006] An embodiment of the present invention provides a method for evaluating a distributed photovoltaic access solution, comprising: Obtain the topological structure of the distribution network to which the photovoltaic power source is to be connected, the line parameters of the distribution network, the historical operation data of the distribution network, and the scheme data of several distributed photovoltaic access schemes to be evaluated; Constructing a distribution network model corresponding to each distributed photovoltaic power access solution according to the solution data, the topological structure, and the line parameters; According to the scheme data, the distribution network grid model and the historical operation data, the operation data of each branch of the distribution network under each distributed photovoltaic access scheme within a preset time period and the power consumption of the regional distribution network users of the distribution network within the preset time period are calculated; According to the scheme data, the distribution network model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data, construct low-carbon benefit indicators, safety and stability indicators, and economic indicators of each distributed photovoltaic access scheme; Based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme, the total score of each distributed photovoltaic access scheme is calculated; The total scores of each distributed photovoltaic access scheme are compared, and the distributed photovoltaic access scheme corresponding to the highest total score is taken as the optimal distributed photovoltaic access scheme.

[0007] Furthermore, the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme are constructed according to the scheme data, the distribution network model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data, including: According to the scheme data, the distribution network grid model, the power consumption, and the operation data, the first carbon emission measurement of each user in the preset time period and the first network loss indirect carbon emission of the distribution network in the preset time period are calculated under each distributed photovoltaic access scheme of the distribution network; Constructing low-carbon benefit indicators for each distributed photovoltaic access solution based on the solution data, the historical operation data, the first carbon emission measurement, the operation data, and the first network loss indirect carbon emissions; According to the distribution network model and the preset fault assessment model, construct the safety and stability index of each distributed photovoltaic access solution; According to the scheme data and the historical operation data, economic indicators corresponding to each distributed photovoltaic access scheme are constructed.

[0008] Further, the operation data includes: flow data, carbon flow density, load power, photovoltaic power generation power of distributed photovoltaics, and a first carbon emission factor of distributed photovoltaics; The scheme data includes: target nodes connected to distributed photovoltaics in the distribution network; According to the scheme data, the distribution network grid model, the power consumption, and the operation data, the first carbon emission measurement of each user in the preset time period and the first network loss indirect carbon emission of the distribution network in the preset time period under each distributed photovoltaic access scheme of the distribution network are calculated, including: According to the following formula, the second carbon emission factor of each target node in the distribution network after being connected to the distributed photovoltaic according to each distributed photovoltaic access scheme is calculated, including: ; in, is the second carbon emission factor of the target node i within the preset period t, is the set of branches with flow flowing into the target node i, is the power flow data of branch s in the distributed photovoltaic access solution k within the preset time period t, is the carbon flow density of branch s in distributed photovoltaic access scheme k, is the photovoltaic power generation power of distributed photovoltaic x in the preset time period t in the distributed photovoltaic access scheme k, is the first carbon emission factor of distributed photovoltaic x in the preset time period t in the distributed photovoltaic access scheme k; According to the carbon emission factors of each target node, a third carbon emission factor of users in the area where the distribution network is located within a preset period is calculated: ; in, is the third carbon emission factor of user m in the preset time period t in the distributed photovoltaic access scheme k; U is the node set within the coverage of the distribution network area where user m is located in the distributed photovoltaic access scheme k; is the load power of target node j in the preset period t in the distributed photovoltaic access scheme k; is the second carbon emission factor of the target node j in the distributed photovoltaic access scheme k within the preset time period t; According to the third carbon emission factor, the first carbon emission measurement of each user in the preset time period is calculated: ; in, is the first carbon emission of user m in the preset period t under the distributed photovoltaic access scheme k, is the power consumption of user m in the preset time period t in the distributed photovoltaic access scheme k; is the length of the preset period t; Calculating the network loss carbon flow rate of each distributed photovoltaic access scheme of the distribution network in a preset time period according to the second carbon emission factor and the power flow data; According to the network loss carbon flow rate, the first network loss indirect carbon emissions of each distributed photovoltaic access scheme of the distribution network in a preset time period are calculated: ; in, is the indirect carbon emission of the first network loss in the distribution network in the preset time period t under the distributed photovoltaic access scheme k, is the length of the preset period t, is the network loss carbon flow rate of the distribution network in the preset time period t under the distributed photovoltaic access scheme k.

[0009] Furthermore, the historical operation data include: the historical electricity price of the distribution network, the first electricity cost of each user of the distribution network, the first annual average investment cost of the current distribution network expected in the next few years, the second carbon emission measurement of each user of the distribution network in a preset time period, the second network loss indirect carbon emissions of each branch of the distribution network in a preset time period, the line network loss distribution data of the distribution network in a preset time period, and the response amount of each user of the distribution network participating in the demand response; The scheme data includes: photovoltaic investment cost, photovoltaic demand response subsidy standard, the average investment cost of the distribution network in the second year after connecting to distributed photovoltaics in the next few years, and the second electricity cost of each user of the distribution network after connecting to distributed photovoltaics; According to the scheme data, the historical operation data, the first carbon emission measurement, the operation data, and the first grid loss indirect carbon emission, a low-carbon benefit index of each distributed photovoltaic access scheme is constructed, including: Calculate the carbon emission reduction of the distribution network under each distributed photovoltaic access scheme according to the first carbon emission measurement, the second carbon emission measurement, the first network loss indirect carbon emission, and the second network loss indirect carbon emission; Calculating the photovoltaic power generation carbon compensation payback period of the distribution network under each distributed photovoltaic access scheme according to the photovoltaic power generation power and the first carbon emission factor; Calculate the annual network loss reduction economic benefits of the distribution network under each distributed photovoltaic access scheme according to the historical electricity price, the power flow data, and the line network loss distribution data; Calculate the economic benefits of investment deferral for the distribution network under each distributed photovoltaic access scheme based on the average investment cost in the first year and the average investment cost in the second year; Calculate the demand response economic benefits of the distribution network under each distributed photovoltaic access scheme according to the photovoltaic demand response subsidy standard, the response amount and the demand response subsidy; Calculating the electricity cost optimization benefit of the distribution network under each distributed photovoltaic access scheme according to the first electricity cost and the second electricity cost; According to the carbon emission reduction, the photovoltaic power generation carbon compensation payback period, the annual network loss reduction economic benefit, the investment deferral economic benefit, the demand response economic benefit, and the electricity cost optimization benefit, the low-carbon benefit index of each distributed photovoltaic access solution is constructed.

[0010] Furthermore, according to the distribution network model and the preset fault assessment model, the safety and stability indicators of each distributed photovoltaic access solution are constructed, including: Inputting the distribution network grid model corresponding to each distributed photovoltaic access scheme into the fault assessment model in sequence, so that the fault assessment model calculates the average critical removal time and the average short-circuit current margin of the distribution network after a three-phase short-circuit fault occurs under each distributed photovoltaic access scheme; Constructing a safety and stability index for each distributed photovoltaic access solution according to the average critical removal time and the average short-circuit current margin; The fault assessment model calculates the average critical removal time after a three-phase short circuit fault occurs in the distribution network under each distributed photovoltaic access scheme by the following formula: ; in, is the average critical removal time after a three-phase short circuit fault occurs in the distribution network under the distributed photovoltaic access scheme k, is the preset number of fault types to be checked, is the limit clearing time of a short-circuit fault h occurring in the distribution network under the distributed photovoltaic access scheme k; The fault assessment model calculates the average short-circuit current margin of the distribution network after a three-phase short-circuit fault occurs under each distributed photovoltaic access scheme by the following formula: in, is the average short-circuit current margin of the distribution network after a three-phase short-circuit fault occurs under the distributed photovoltaic access scheme k, and N is the number of nodes in the distribution network; is the short-circuit current amplitude of node D under distributed photovoltaic access scheme k; is the preset short-circuit current limit.

[0011] Furthermore, the scheme data also includes: initial photovoltaic investment cost, equipment retirement cost coefficient, photovoltaic power generation equipment investment cost, equipment annual maintenance coefficient, photovoltaic power generation system operation cycle, photovoltaic power generation system annual average maintenance cost, photovoltaic power generation system annual power generation income, and photovoltaic power generation equipment recovery income; The historical operation data also includes: peak electricity prices, off-peak low prices, and normal electricity prices; The constructing of economic indicators corresponding to each distributed photovoltaic access scheme according to the scheme data and the historical operation data includes: Calculate the photovoltaic equipment retirement cost corresponding to each distributed photovoltaic access scheme according to the equipment retirement cost coefficient; Calculate the photovoltaic maintenance and replacement cost corresponding to each distributed photovoltaic access scheme according to the investment cost of the photovoltaic power generation equipment, the annual maintenance coefficient of the equipment, the operation cycle of the photovoltaic power generation system, and the average annual maintenance cost of the photovoltaic power generation system; Calculate the total cost of the photovoltaic power generation system of each distributed photovoltaic access solution based on the photovoltaic maintenance and replacement cost, the photovoltaic equipment decommissioning cost, and the photovoltaic initial investment cost; Calculate the total revenue of the photovoltaic power generation system of each distributed photovoltaic access solution based on the annual power generation revenue of the photovoltaic power generation system and the recovery revenue of the photovoltaic power generation equipment; Calculate the economic benefits of the photovoltaic system corresponding to each distributed photovoltaic access scheme according to the total cost of the photovoltaic power generation system and the total income of the photovoltaic power generation system; Calculate the photovoltaic system auxiliary service income corresponding to each distributed photovoltaic access scheme according to the peak electricity price, the valley low price, the normal electricity price, and the photovoltaic power generation power; According to the economic benefits of the photovoltaic system and the revenue from the auxiliary services of the photovoltaic system, economic indicators corresponding to each distributed photovoltaic access solution are constructed.

[0012] Furthermore, the total score of each distributed photovoltaic access scheme is calculated based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme, including: According to the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme, a set of evaluation indexes for each distributed photovoltaic access scheme is constructed; The combined weighting method is used to calculate the weight factors of each indicator in the evaluation indicator set of each distributed photovoltaic access solution; A multi-attribute decision-making algorithm is used to calculate the group benefit and individual regret value of each indicator in the evaluation indicator set of each distributed photovoltaic access scheme; According to the group benefits and individual regret values ​​of various indicators, the total score of each distributed photovoltaic access scheme is calculated.

[0013] Another embodiment of the present invention provides an evaluation device for a distributed photovoltaic access solution, comprising: A data acquisition module is used to acquire the topological structure of the distribution network to be connected to the photovoltaic power source, the line parameters of the distribution network, the historical operation data of the distribution network, and the scheme data of several distributed photovoltaic access schemes to be evaluated; A model building module, used to build a distribution network model corresponding to each distributed photovoltaic power source access solution according to the solution data, the topological structure, and the line parameters; A data calculation module, used to calculate the operation data of each branch of the distribution network in a preset time period under each distributed photovoltaic access scheme and the power consumption of regional distribution network users of the distribution network in a preset time period according to the scheme data, the distribution network grid model and the historical operation data; An indicator construction module, for constructing low-carbon benefit indicators, safety and stability indicators, and economic indicators of each distributed photovoltaic access scheme according to the scheme data, the distribution network model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data; A score statistics module is used to calculate the total score of each distributed photovoltaic access solution based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access solution; The scheme evaluation module is used to compare the total scores of various distributed photovoltaic access schemes, and take the distributed photovoltaic access scheme corresponding to the highest total score as the optimal distributed photovoltaic access scheme.

[0014] Another embodiment of the present invention provides an electronic device, including 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, an evaluation method for a distributed photovoltaic access scheme as described in any one of the embodiments is implemented.

[0015] Another embodiment of the present invention provides a storage medium, which includes a stored computer program, wherein when the computer program is running, the device where the storage medium is located is controlled to execute a method for evaluating a distributed photovoltaic access scheme as described in any one of the above embodiments.

[0016] The following beneficial effects are achieved by implementing the present invention: The present invention discloses an evaluation method, device, electronic device and storage medium for a distributed photovoltaic access scheme. The method comprises: simulating the operation data of each branch of the distribution network under each distributed photovoltaic access scheme in a preset period of time and the power consumption of the regional distribution network users of the distribution network in a preset period of time according to the topological structure of the distribution network, line parameters and a plurality of distributed photovoltaic access schemes to be evaluated by constructing a distribution network grid model; then constructing the low-carbon benefit index, safety and stability index and economic index of each distributed photovoltaic access scheme according to the distribution network grid model, the distributed photovoltaic access scheme, the historical operation data, power consumption and operation data of the distribution network; then calculating the total score of the distributed photovoltaic access scheme according to the low-carbon benefit index, safety and stability index and economic index of each distributed photovoltaic access scheme; and taking the distributed photovoltaic access scheme corresponding to the highest total score as the optimal distributed photovoltaic access scheme. Therefore, the present invention comprehensively considers the carbon emission reduction benefit, safety and stability and economic multiple indicators brought by distributed photovoltaic to the distribution network, and effectively and comprehensively evaluates the scheme of distributed photovoltaic access to the distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flow chart of a method for evaluating a distributed photovoltaic access solution provided by an embodiment of the present invention.

[0018] Figure 2 It is a structural schematic diagram of an evaluation device for a distributed photovoltaic access solution provided by an embodiment of the present invention.

[0019] Figure 3 It is a schematic diagram of a distribution network topology structure provided by an embodiment of the present invention.

[0020] Figure 4 It is a schematic diagram of nodes for connecting a distribution network to distributed photovoltaics according to an embodiment of the present invention.

[0021] Figure 5 It is a schematic diagram of a distributed photovoltaic access solution provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of them. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0023] See also Figure 1 , is an evaluation method for a distributed photovoltaic access solution provided by an embodiment of the present invention, comprising: S1. Obtain the topological structure of the distribution network to be connected to the photovoltaic power source, the line parameters of the distribution network, the historical operation data of the distribution network, and the scheme data of several distributed photovoltaic access schemes to be evaluated; In a preferred embodiment of the present invention, the topological structure is as follows Figure 3 The 10kV grid topology connected to distributed photovoltaics is shown in the figure. There are 33 nodes in the 10kV feeder line, of which 1 is a power node and the rest are load nodes. The line parameters are the distribution transformer capacity of each node in the topology structure and the line length and line model between each node in the topology structure. Furthermore, obtaining Figure 4 as well as Figure 5 Several distributed photovoltaic access schemes to be evaluated are shown, such as Figure 4 As shown, the distributed photovoltaic access nodes are 7, 9, and 12. The total distributed photovoltaic access capacity of the first distributed photovoltaic access scheme is 0MW, and then gradually increases in steps of 0.2MW to a total distributed photovoltaic access capacity of 4MW in the 21st scheme.

[0024] S2. Constructing a distribution network model corresponding to each distributed photovoltaic power access scheme according to the scheme data, the topological structure, and the line parameters; S3, according to the scheme data, the distribution network grid model and the historical operation data, calculating the operation data of each branch of the distribution network in a preset time period under each distributed photovoltaic access scheme and the power consumption of the regional distribution network users of the distribution network in a preset time period; In a preferred embodiment of the present invention, according to different distributed photovoltaic access schemes, a distribution network grid model corresponding to the distribution network after distributed photovoltaic access is constructed, and then conventional power flow calculations are performed based on the distribution network grid model to calculate the active power, reactive power and voltage distribution of the distribution network within a preset time period.

[0025] S4. Construct low-carbon benefit indicators, safety and stability indicators, and economic indicators of each distributed photovoltaic access scheme based on the scheme data, the distribution network model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data; Preferably, the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme are constructed according to the scheme data, the distribution network grid model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data, including: S41, according to the scheme data, the distribution network grid model, the power consumption, and the operation data, calculating the first carbon emission measurement of each user in the preset time period and the first network loss indirect carbon emission of the distribution network in the preset time period under each distributed photovoltaic access scheme of the distribution network; Preferably, the operation data includes: flow data, carbon flow density, load power, photovoltaic power generation power of distributed photovoltaics, and a first carbon emission factor of distributed photovoltaics; The scheme data includes: target nodes connected to distributed photovoltaics in the distribution network; The calculating, according to the scheme data, the distribution network grid model, the power consumption, and the operation data, of the first carbon emission measurement of each user in the preset time period and the first network loss indirect carbon emission of the distribution network in the preset time period under each distributed photovoltaic access scheme of the distribution network includes: S411. Calculate the second carbon emission factor of each target node in the distribution network after it is connected to the distributed photovoltaic according to each distributed photovoltaic access scheme according to the following formula, including: ; in, is the second carbon emission factor of the target node i within the preset period t, is the set of branches with flow flowing into the target node i, is the power flow data of branch s in the distributed photovoltaic access solution k within the preset time period t, is the carbon flow density of branch s in distributed photovoltaic access scheme k, is the photovoltaic power generation power of distributed photovoltaic x in the preset time period t in the distributed photovoltaic access scheme k, is the first carbon emission factor of distributed photovoltaic x in the preset time period t in the distributed photovoltaic access scheme k; S412. Calculate, according to the carbon emission factors of the target nodes, a third carbon emission factor of users in the area where the distribution network is located within a preset period of time: ; in, is the third carbon emission factor of user m in the preset time period t in the distributed photovoltaic access scheme k; U is the node set within the coverage of the distribution network area where user m is located in the distributed photovoltaic access scheme k; is the load power of target node j in the preset period t in the distributed photovoltaic access scheme k; is the second carbon emission factor of the target node j in the distributed photovoltaic access scheme k within the preset time period t; S413. Calculate the first carbon emission measurement of each user in the preset time period according to the third carbon emission factor: ; in, is the first carbon emission of user m in the preset period t under the distributed photovoltaic access scheme k, is the power consumption of user m in the preset time period t in the distributed photovoltaic access scheme k; is the length of the preset period t; S414, calculating the network loss carbon flow rate of each distributed photovoltaic access scheme of the distribution network in a preset time period according to the second carbon emission factor and the power flow data; In a preferred embodiment of the present invention, firstly, according to the second carbon emission factor, a carbon emission factor matrix of the distribution network in each distributed photovoltaic access scheme is constructed. ; According to the flow data, construct the flow distribution matrix of the distribution network in each distributed photovoltaic access scheme , N is the number of nodes in the distribution network; Based on the carbon emission factor matrix and the power flow distribution matrix, a line carbon flow density matrix is ​​constructed ; ; in, is the line carbon flow density matrix of the distribution network in the distributed photovoltaic access scheme k in the preset time period t, which is used to describe the carbon flow density of each line in the system; is the carbon emission factor matrix of the distribution network in the distributed photovoltaic access scheme k; H is the distribution network line flow distribution matrix used to characterize the relationship between the branch flow directions, ; If there is a branch connecting node i and node j (i, j = 1, 2, ..., N), and the positive active power flow flowing into node j through this branch is not zero, then the element =1, =0; if the active power flow through the branch is a reverse flow, then =0, =1; Furthermore, according to the line network loss data obtained by power flow calculation, the line network loss distribution matrix is ​​shown in the following formula (5): ; in, is the line network loss distribution matrix of the distribution network in the preset time period t after the distributed photovoltaic is connected, which is used to describe the network loss distribution of the power system; (i≠j) is a matrix The non-diagonal elements of represent the network loss between branches ij, and the diagonal elements is 0; Furthermore, according to the line network loss distribution matrix and the line carbon flow density matrix, the network loss carbon flow rate under the distributed photovoltaic access scheme k is calculated; ; in, is the network loss carbon flow rate of the distribution network in the preset time period t under the distributed photovoltaic access scheme k.

[0026] S415. Calculate the first network loss indirect carbon emissions of each distributed photovoltaic access scheme of the distribution network in a preset time period according to the network loss carbon flow rate: ; in, is the indirect carbon emission of the first network loss in the distribution network in the preset time period t under the distributed photovoltaic access scheme k, is the length of the preset period t, is the network loss carbon flow rate of the distribution network in the preset time period t under the distributed photovoltaic access scheme k.

[0027] S42, constructing a low-carbon benefit index for each distributed photovoltaic access scheme according to the scheme data, the historical operation data, the first carbon emission measurement, the operation data, and the first network loss indirect carbon emission; Preferably, the historical operation data include: the historical electricity price of the distribution network, the first electricity cost of each user of the distribution network, the first-year average investment cost of the current distribution network expected in the next few years, the second carbon emission measurement of each user of the distribution network in a preset time period, the second network loss indirect carbon emissions of each branch of the distribution network in a preset time period, the line network loss distribution data of the distribution network in a preset time period, and the response amount of each user of the distribution network participating in the demand response; The scheme data includes: photovoltaic investment cost, photovoltaic demand response subsidy standard, the average investment cost of the distribution network in the second year after connecting to distributed photovoltaics in the next few years, and the second electricity cost of each user of the distribution network after connecting to distributed photovoltaics; According to the scheme data, the historical operation data, the first carbon emission measurement, the operation data, and the first grid loss indirect carbon emission, a low-carbon benefit index of each distributed photovoltaic access scheme is constructed, including: S421. Calculate the carbon emission reduction of the distribution network under each distributed photovoltaic access scheme according to the first carbon emission measurement, the second carbon emission measurement, the first network loss indirect carbon emission, and the second network loss indirect carbon emission; In a preferred embodiment of the present invention, the carbon emission reduction of the distribution network under each distributed photovoltaic access scheme is calculated according to the following formula; ; ; ; in, , are the carbon emissions of the lth distribution feeder in the distribution network in the preset period t before and after the photovoltaic grid connection under the distributed photovoltaic access scheme k; M is the total number of users of the lth distribution feeder; , are the carbon emissions of the user m on the lth distribution network feeder before and after the photovoltaic grid connection under the large-scale distributed photovoltaic access scheme k in the preset time period t, that is, For the first carbon emissions measurement and For the second carbon emission measurement; , are the indirect carbon emissions of the grid loss of the lth distribution network feeder before and after the photovoltaic grid connection in the preset time period t when the distributed photovoltaic access scheme k is used, that is, Indirect carbon emissions from first grid loss and It is the indirect carbon emission caused by the second network loss.

[0028] S422, calculating the photovoltaic power generation carbon compensation payback period of the distribution network under each distributed photovoltaic access scheme according to the photovoltaic power generation power and the first carbon emission factor; In a preferred embodiment of the present invention, the total carbon emissions of photovoltaic power generation of each distributed photovoltaic access scheme and the annual average power generation of the photovoltaic system are calculated by using the photovoltaic power generation power and the first carbon emission factor in the scheme data; Furthermore, the carbon compensation payback period of photovoltaic power generation of the distribution network under each distributed photovoltaic access scheme is calculated by the following formula: in, is the carbon compensation payback period of photovoltaic power generation for distributed photovoltaic access scheme k, in year; is the total carbon emissions of photovoltaic power generation, in kg; is the annual average power generation of the photovoltaic system, in kWh; is the carbon emission coefficient of electricity, in kg / kWh. In this embodiment, according to the 2015 China Regional Power Grid Baseline Emission Factor, the East China regional power grid is 0.8112 kg / kWh.

[0029] S423, calculating the annual network loss reduction economic benefits of the distribution network under each distributed photovoltaic access scheme according to the historical electricity price, the power flow data, and the line network loss distribution data; In a preferred embodiment of the present invention, the line network loss data obtained according to the power flow calculation in step S414 is obtained, and then the annual network loss reduction economic benefit of the distribution network under each distributed photovoltaic access scheme is calculated by the following formula: ; in, The economic benefit of reducing network loss in the year of distributed photovoltaic access solution k; is the historical electricity price; and is the network loss of the distribution network in the preset period t before and after photovoltaic access, that is, Line network loss distribution data and It is the line network loss data.

[0030] S424. Calculate the economic benefits of investment deferral for the distribution network under each distributed photovoltaic access scheme based on the average investment cost in the first year and the average investment cost in the second year; In a preferred embodiment of the present invention, the investment deferral economic benefit of the distribution network under each distributed photovoltaic access scheme is calculated by the following formula: ; In the formula, The economic benefit of the investment deferral of distributed photovoltaic access solution k, that is, the annual average economic benefit of delaying the investment in grid-side distribution equipment for N years; is the average investment cost of the regional distribution network in the first year of the next N years before investing in photovoltaics; is the average investment cost of the regional distribution network in the second year after investing in PV in the next N years, including the PV investment cost; S425, calculating the demand response economic benefits of the distribution network under each distributed photovoltaic access scheme according to the photovoltaic demand response subsidy standard, the response amount and the demand response subsidy; In a preferred embodiment of the present invention, the economic benefits of demand response of the distribution network under each distributed photovoltaic access scheme are calculated by the following formula: ; in, The economic benefits of demand response for distributed photovoltaic access scheme k; The subsidy standard for photovoltaic demand response; is the response amount; S426. Calculate the electricity cost optimization benefit of the distribution network under each distributed photovoltaic access scheme according to the first electricity cost and the second electricity cost; In a preferred embodiment of the present invention, the electricity cost optimization benefit of the distribution network under each distributed photovoltaic access scheme is calculated by the following formula: ; in, Optimize the electricity cost benefits of distributed photovoltaic access solution k within one year; and are the comprehensive electricity costs of users on the i-th day before and after high-proportion photovoltaic access, namely The first electricity cost and The second electricity cost.

[0031] S427. Construct low-carbon benefit indicators for each distributed photovoltaic access solution based on the carbon emission reduction, the photovoltaic power generation carbon compensation payback period, the annual network loss reduction economic benefit, the investment deferral economic benefit, the demand response economic benefit, and the electricity cost optimization benefit.

[0032] In a preferred embodiment of the present invention, the low-carbon benefit index is a set of six values: the carbon emission reduction, the photovoltaic power generation carbon compensation payback period, the annual network loss reduction economic benefit, the investment deferral economic benefit, the demand response economic benefit, and the electricity cost optimization benefit.

[0033] By establishing "implicit" low-carbon benefit indicators brought about by access to distributed photovoltaics, from the perspective of source, grid and load, source measurement indicators include carbon emission reduction and carbon compensation payback period of photovoltaic power generation; grid-side indicators include annual economic benefits of reducing network losses and economic benefits of investment deferral; load-side indicators include economic benefits of demand response and benefits of electricity cost optimization. It can be understood that the present invention comprehensively evaluates the low-carbon benefits of various distributed photovoltaic access solutions from the perspectives of source, grid and load, and incorporates the "invisible" benefits brought by distributed photovoltaics to the distribution network into the evaluation system, so that the pros and cons of the solutions can be evaluated more accurately in the future.

[0034] S43, constructing safety and stability indicators of each distributed photovoltaic access solution according to the distribution network model and the preset fault assessment model; Preferably, according to the distribution network model and the preset fault assessment model, the safety and stability index of each distributed photovoltaic access scheme is constructed, including: S43, inputting the distribution network grid model corresponding to each distributed photovoltaic access scheme into the fault assessment model in sequence, so that the fault assessment model calculates the average critical removal time and the average short-circuit current margin after a three-phase short-circuit fault occurs in the distribution network under each distributed photovoltaic access scheme; S43, constructing a safety and stability index for each distributed photovoltaic access solution according to the average critical removal time and the average short-circuit current margin; The fault assessment model calculates the average critical removal time after a three-phase short circuit fault occurs in the distribution network under each distributed photovoltaic access scheme by the following formula: ; in, is the average critical removal time after a three-phase short circuit fault occurs in the distribution network under the distributed photovoltaic access scheme k, is the number of fault types to be checked preset in the fault assessment model, is the limit clearing time of a short-circuit fault h occurring in the distribution network under the distributed photovoltaic access scheme k; The fault assessment model calculates the average short-circuit current margin of the distribution network after a three-phase short-circuit fault occurs under each distributed photovoltaic access scheme by the following formula: in, is the average short-circuit current margin of the distribution network after a three-phase short-circuit fault occurs under the distributed photovoltaic access scheme k, and N is the number of nodes in the distribution network; is the short-circuit current amplitude of node D under distributed photovoltaic access scheme k; is the preset short-circuit current limit.

[0035] In a preferred embodiment of the present invention, the safety stability index is a set consisting of an average critical removal time and an average short-circuit current margin.

[0036] S44. Construct economic indicators corresponding to each distributed photovoltaic access scheme based on the scheme data and the historical operation data.

[0037] Preferably, the scheme data also includes: initial photovoltaic investment cost, equipment retirement cost coefficient, photovoltaic power generation equipment investment cost, equipment annual maintenance coefficient, photovoltaic power generation system operation cycle, photovoltaic power generation system annual average maintenance cost, photovoltaic power generation system annual power generation income, and photovoltaic power generation equipment recovery income; The historical operation data also includes: peak electricity prices, off-peak low prices, and normal electricity prices; The constructing of economic indicators corresponding to each distributed photovoltaic access scheme according to the scheme data and the historical operation data includes: S441. Calculating the photovoltaic equipment retirement cost corresponding to each distributed photovoltaic access scheme according to the equipment retirement cost coefficient; S442, calculating the photovoltaic maintenance and replacement cost corresponding to each distributed photovoltaic access scheme according to the photovoltaic power generation equipment investment cost, the equipment annual maintenance coefficient, the photovoltaic power generation system operation cycle, and the photovoltaic power generation system annual average maintenance cost; S443, calculating the total cost of the photovoltaic power generation system of each distributed photovoltaic access solution according to the photovoltaic maintenance and replacement cost, the photovoltaic equipment decommissioning cost, and the photovoltaic initial investment cost; S444. Calculate the total income of the photovoltaic power generation system of each distributed photovoltaic access solution according to the annual power generation income of the photovoltaic power generation system and the recovery income of the photovoltaic power generation equipment; S445. Calculate the economic benefits of the photovoltaic system corresponding to each distributed photovoltaic access scheme according to the total cost of the photovoltaic power generation system and the total income of the photovoltaic power generation system.

[0038] In a preferred embodiment of the present invention, the economic benefits of the photovoltaic system corresponding to each distributed photovoltaic access scheme are calculated by the following formula: ; in, is the economic benefit of the photovoltaic system under the distributed photovoltaic access scheme k, is the total cost of the photovoltaic power generation system under the distributed photovoltaic access scheme k, is the initial photovoltaic investment cost of distributed photovoltaic access solution k; is the photovoltaic maintenance and replacement cost of distributed photovoltaic access scheme k; is the photovoltaic equipment decommissioning cost of distributed photovoltaic access scheme k, and Y is the operation period of the photovoltaic power generation system; represents the replacement cost of photovoltaic power generation equipment for distributed photovoltaic access scheme k; represents the average annual maintenance cost of the photovoltaic power generation system of distributed photovoltaic access scheme k, is the annual maintenance coefficient of the equipment, is the investment cost of photovoltaic power generation equipment for distributed photovoltaic access scheme k, β is the decommissioning cost coefficient, is the total revenue of the photovoltaic power generation system, is the power generation income of the photovoltaic power generation system in scheme k in year y; is the recovery income of photovoltaic power generation equipment in scheme k.

[0039] S446, calculating the photovoltaic system auxiliary service income corresponding to each distributed photovoltaic access scheme according to the peak electricity price, the valley low price, the normal electricity price, and the photovoltaic power generation power; In a preferred embodiment of the present invention, the average active power of photovoltaic output in each distributed photovoltaic access scheme is calculated by using the photovoltaic power generation power; Furthermore, the photovoltaic system ancillary service income corresponding to each distributed photovoltaic access scheme is calculated by the following formula: ; in, Indicates peak electricity price; represents the off-peak electricity price; for electricity parity; is the average active power of photovoltaic output in distributed photovoltaic access scheme k.

[0040] S447. Construct economic indicators corresponding to each distributed photovoltaic access scheme based on the economic benefits of the photovoltaic system and the revenue from auxiliary services of the photovoltaic system.

[0041] In a preferred embodiment of the present invention, the economic indicator is a set consisting of the economic benefits of the photovoltaic system and the ancillary service income of the photovoltaic system.

[0042] S5. Calculate the total score of each distributed photovoltaic access solution based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access solution; Preferably, the total score of each distributed photovoltaic access scheme is calculated based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme, including: S51. Constructing a set of evaluation indicators for each distributed photovoltaic access scheme based on the low-carbon benefit indicator, safety and stability indicator, and economic indicator of each distributed photovoltaic access scheme; In a preferred embodiment of the present invention, the evaluation index set of each distributed photovoltaic access scheme is composed of three indicators of low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme.

[0043] S52, using a combined weighting method to calculate the weight factor of each indicator in the evaluation indicator set of each distributed photovoltaic access solution; In a preferred embodiment of the present invention, the first weight of each indicator is determined by an improved AHP-CRITIC combined weighting method, and then the second weight of each indicator is determined by an improved CRITIC weighting method, and then the weight factor of each indicator is determined according to the first weight, the second weight, and the improved AHP-CRITIC combined weighting algorithm.

[0044] S53, using a multi-attribute decision-making algorithm to calculate the group benefit and individual regret value of each indicator in the evaluation indicator set of each distributed photovoltaic access solution; In a preferred embodiment of the present invention, the multi-attribute decision-making algorithm is the VIKOR algorithm; Specifically, first obtain the maximum and minimum values ​​of the values ​​contained in each indicator in each evaluation indicator set, and use them as the positive ideal solution of each indicator. and negative ideal solution ; Secondly, the group benefit and individual regret value of each indicator in the evaluation indicator set of each distributed photovoltaic access scheme are calculated: ; ; in, is the group benefit of the i-th technology to be evaluated for distributed photovoltaic access scheme k; is the individual regret value of the i-th technology to be evaluated for distributed photovoltaic access scheme k; The comprehensive weight of the jth indicator; is the score of the jth indicator in the i-th technology to be evaluated in the distributed photovoltaic access solution k; S54. Calculate the total score of each distributed photovoltaic access solution based on the group benefits and individual regret values ​​of each indicator.

[0045] In a preferred embodiment of the present invention, first, the decision distance index of the i-th technology to be evaluated of solution k is calculated by the following formula: ; in, is the decision distance index of the i-th technology to be evaluated for distributed photovoltaic access scheme k; is the decision mechanism coefficient. Taking 0.5, it represents comprehensive decision making; , They are the largest and smallest group utilities in the overall construction technology solution, respectively; , are the maximum and minimum individual regret values ​​in the scheme respectively.

[0046] It can be understood that in the distributed photovoltaic access scheme k, the greater the group benefit of the i-th technology to be evaluated and the smaller the individual regret value, the better the technology to be evaluated. Therefore, this embodiment uses the decision distance index to measure the distance between the technology evaluation and the ideal technology goal.

[0047] S6. Compare the total scores of the distributed photovoltaic access schemes, and take the distributed photovoltaic access scheme corresponding to the highest total score as the optimal distributed photovoltaic access scheme.

[0048] In a preferred embodiment of the present invention, the calculated distributed photovoltaic access scheme scores are sorted from large to small, and the scheme with the highest score is taken as the optimal scheme. i , rank the technologies, Q i The smaller it is, the better the low-carbon benefits of the distribution line to be evaluated after large-scale distributed photovoltaic grid connection. iThe larger it is, the worse the low-carbon benefit of the distribution line to be evaluated is.

[0049] This embodiment provides an evaluation method for a distributed photovoltaic access scheme disclosed in the present invention. The distribution network grid model constructed according to the topological structure of the distribution network, line parameters, and several distributed photovoltaic access schemes to be evaluated is used to simulate the operation data of each branch of the distribution network under each distributed photovoltaic access scheme within a preset period of time and the power consumption of the regional distribution network users of the distribution network within the preset period of time. Then, according to the distribution network grid model, the distributed photovoltaic access scheme, the historical operation data, power consumption, and operation data of the distribution network, the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme are constructed. Then, according to the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme, the total score of the distributed photovoltaic access scheme is calculated, and the distributed photovoltaic access scheme corresponding to the highest total score is used as the optimal distributed photovoltaic access scheme. Therefore, the present invention comprehensively considers the carbon emission reduction benefits, safety and stability, and economic multiple indicators brought by distributed photovoltaics to the distribution network, and effectively and comprehensively evaluates the scheme of distributed photovoltaic access to the distribution network.

[0050] See also Figure 2 , is a schematic diagram of a structure of an evaluation device for a distributed photovoltaic access solution provided by an embodiment of the present invention, comprising: A data acquisition module is used to acquire the topological structure of the distribution network to be connected to the photovoltaic power source, the line parameters of the distribution network, the historical operation data of the distribution network, and the scheme data of several distributed photovoltaic access schemes to be evaluated; A model building module, used to build a distribution network model corresponding to each distributed photovoltaic power source access solution according to the solution data, the topological structure, and the line parameters; A data calculation module, used to calculate the operation data of each branch of the distribution network in a preset time period under each distributed photovoltaic access scheme and the power consumption of regional distribution network users of the distribution network in a preset time period according to the scheme data, the distribution network grid model and the historical operation data; An indicator construction module, for constructing low-carbon benefit indicators, safety and stability indicators, and economic indicators of each distributed photovoltaic access scheme according to the scheme data, the distribution network model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data; A score statistics module is used to calculate the total score of each distributed photovoltaic access solution based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access solution; The scheme evaluation module is used to compare the total scores of various distributed photovoltaic access schemes, and take the distributed photovoltaic access scheme corresponding to the highest total score as the optimal distributed photovoltaic access scheme.

[0051] It should be noted that the device embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they 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 scheme of this embodiment. In addition, in the accompanying drawings of the device embodiments provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which may be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art may understand and implement it without paying any creative effort.

[0052] Those skilled in the art can clearly understand that for the sake of convenience and brevity, 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.

[0053] Another preferred embodiment of the present invention provides an electronic 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, an evaluation method for a distributed photovoltaic access scheme as described in any one of the above embodiments is implemented.

[0054] The electronic device may be a computing device such as a desktop computer, a notebook, a palmtop computer, a cloud server, etc. The electronic device may include, but is not limited to, a processor and a memory.

[0055] The processor may be a central processing unit (CPU), 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. A general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the electronic device, and various interfaces and lines are used to connect various parts of the entire device.

[0056] The memory can be used to store the computer program, and the processor realizes various functions of the electronic device by running or executing the computer program 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.

[0057] Another preferred embodiment of the present invention provides a storage medium, the storage medium is a computer-readable storage medium, the computer program is stored in the computer-readable storage medium, and the computer program, when executed by the processor, can implement the steps of the above-mentioned various method embodiments. Wherein, the computer program includes computer program code, and the computer program code can 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, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal and software distribution medium, etc.

[0058] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. An evaluation method for distributed photovoltaic access solutions, It is characterized in that include: Obtain the topological structure of the distribution network to which the photovoltaic power source is to be connected, the line parameters of the distribution network, the historical operation data of the distribution network, and the scheme data of several distributed photovoltaic access schemes to be evaluated; Constructing a distribution network model corresponding to each distributed photovoltaic power access solution according to the solution data, the topological structure, and the line parameters; According to the scheme data, the distribution network grid model and the historical operation data, the operation data of each branch of the distribution network under each distributed photovoltaic access scheme within a preset time period and the power consumption of the regional distribution network users of the distribution network within the preset time period are calculated; According to the scheme data, the distribution network model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data, construct low-carbon benefit indicators, safety and stability indicators, and economic indicators of each distributed photovoltaic access scheme; Based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme, the total score of each distributed photovoltaic access scheme is calculated; The total scores of each distributed photovoltaic access scheme are compared, and the distributed photovoltaic access scheme corresponding to the highest total score is taken as the optimal distributed photovoltaic access scheme.

2. A method for evaluating a distributed photovoltaic access solution as claimed in claim 1, It is characterized in that The low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme are constructed according to the scheme data, the distribution network grid model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data, including: According to the scheme data, the distribution network grid model, the power consumption, and the operation data, the first carbon emission measurement of each user in the preset time period and the first network loss indirect carbon emission of the distribution network in the preset time period are calculated under each distributed photovoltaic access scheme of the distribution network; Constructing low-carbon benefit indicators for each distributed photovoltaic access solution based on the solution data, the historical operation data, the first carbon emission measurement, the operation data, and the first network loss indirect carbon emissions; According to the distribution network model and the preset fault assessment model, construct the safety and stability index of each distributed photovoltaic access solution; According to the scheme data and the historical operation data, economic indicators corresponding to each distributed photovoltaic access scheme are constructed.

3. A method for evaluating a distributed photovoltaic access solution as claimed in claim 2, It is characterized in that The operation data includes: flow data, carbon flow density, load power, photovoltaic power generation power of distributed photovoltaics, and the first carbon emission factor of distributed photovoltaics; The scheme data includes: target nodes connected to distributed photovoltaics in the distribution network; According to the scheme data, the distribution network grid model, the power consumption, and the operation data, the first carbon emission measurement of each user in the preset time period and the first network loss indirect carbon emission of the distribution network in the preset time period under each distributed photovoltaic access scheme of the distribution network are calculated, including: According to the following formula, the second carbon emission factor of each target node in the distribution network after being connected to the distributed photovoltaic according to each distributed photovoltaic access scheme is calculated, including: ； in, is the second carbon emission factor of the target node i within the preset period t, is the set of branches with flow flowing into the target node i, is the power flow data of branch s in the distributed photovoltaic access solution k within the preset time period t, is the carbon flow density of branch s in distributed photovoltaic access scheme k, is the photovoltaic power generation power of distributed photovoltaic x in the preset time period t in the distributed photovoltaic access scheme k, is the first carbon emission factor of distributed photovoltaic x in the preset time period t in the distributed photovoltaic access scheme k; According to the carbon emission factors of each target node, a third carbon emission factor of users in the area where the distribution network is located within a preset period is calculated: ； in, is the third carbon emission factor of user m in the preset time period t in the distributed photovoltaic access scheme k; U is the node set within the coverage of the distribution network area where user m is located in the distributed photovoltaic access scheme k; is the load power of target node j in the preset period t in the distributed photovoltaic access scheme k; is the second carbon emission factor of the target node j in the distributed photovoltaic access scheme k within the preset time period t; According to the third carbon emission factor, the first carbon emission measurement of each user in the preset time period is calculated: ； in, is the first carbon emission of user m in the preset period t under the distributed photovoltaic access scheme k, is the power consumption of user m in the preset time period t in the distributed photovoltaic access scheme k; is the length of the preset period t; Calculating the network loss carbon flow rate of each distributed photovoltaic access scheme of the distribution network in a preset time period according to the second carbon emission factor and the power flow data; According to the network loss carbon flow rate, the first network loss indirect carbon emissions of each distributed photovoltaic access scheme of the distribution network in a preset time period are calculated: ； in, is the indirect carbon emission of the first network loss in the distribution network in the preset time period t under the distributed photovoltaic access scheme k, is the length of the preset period t, is the network loss carbon flow rate of the distribution network in the preset time period t under the distributed photovoltaic access scheme k.

4. A method for evaluating a distributed photovoltaic access solution as claimed in claim 3, It is characterized in that The historical operation data include: the historical electricity price of the distribution network, the first electricity cost of each user of the distribution network, the first annual average investment cost of the current distribution network expected in the next few years, the second carbon emission measurement of each user of the distribution network in a preset time period, the second network loss indirect carbon emissions of each branch of the distribution network in a preset time period, the line network loss distribution data of the distribution network in a preset time period, and the response amount of each user of the distribution network participating in the demand response; The scheme data includes: photovoltaic investment cost, photovoltaic demand response subsidy standard, the average investment cost of the distribution network in the second year after connecting to distributed photovoltaics in the next few years, and the second electricity cost of each user of the distribution network after connecting to distributed photovoltaics; The low-carbon benefit index of each distributed photovoltaic access scheme is constructed according to the scheme data, the historical operation data, the first carbon emission measurement, the operation data, and the first network loss indirect carbon emission, including: Calculate the carbon emission reduction of the distribution network under each distributed photovoltaic access scheme according to the first carbon emission measurement, the second carbon emission measurement, the first network loss indirect carbon emission, and the second network loss indirect carbon emission; Calculating the photovoltaic power generation carbon compensation payback period of the distribution network under each distributed photovoltaic access scheme according to the photovoltaic power generation power and the first carbon emission factor; Calculate the annual network loss reduction economic benefits of the distribution network under each distributed photovoltaic access scheme according to the historical electricity price, the power flow data, and the line network loss distribution data; Calculate the economic benefits of investment deferral for the distribution network under each distributed photovoltaic access scheme based on the average investment cost in the first year and the average investment cost in the second year; Calculate the demand response economic benefits of the distribution network under each distributed photovoltaic access scheme according to the photovoltaic demand response subsidy standard, the response amount and the demand response subsidy; Calculating the electricity cost optimization benefit of the distribution network under each distributed photovoltaic access scheme according to the first electricity cost and the second electricity cost; According to the carbon emission reduction, the photovoltaic power generation carbon compensation payback period, the annual network loss reduction economic benefit, the investment deferral economic benefit, the demand response economic benefit, and the electricity cost optimization benefit, the low-carbon benefit index of each distributed photovoltaic access solution is constructed.

5. A method for evaluating a distributed photovoltaic access solution as claimed in claim 4, It is characterized in that The safety and stability indicators of each distributed photovoltaic access solution are constructed according to the distribution network grid model and the preset fault assessment model, including: Inputting the distribution network grid model corresponding to each distributed photovoltaic access scheme into the fault assessment model in sequence, so that the fault assessment model calculates the average critical removal time and the average short-circuit current margin of the distribution network after a three-phase short-circuit fault occurs under each distributed photovoltaic access scheme; Constructing a safety and stability index for each distributed photovoltaic access solution according to the average critical removal time and the average short-circuit current margin; The fault assessment model calculates the average critical removal time after a three-phase short circuit fault occurs in the distribution network under each distributed photovoltaic access scheme by the following formula: ； in, is the average critical removal time after a three-phase short circuit fault occurs in the distribution network under the distributed photovoltaic access scheme k, is the number of fault types to be checked preset in the fault assessment model, is the limit clearing time of a short-circuit fault h occurring in the distribution network under the distributed photovoltaic access scheme k; The fault assessment model calculates the average short-circuit current margin of the distribution network after a three-phase short-circuit fault occurs under each distributed photovoltaic access scheme by the following formula: in, is the average short-circuit current margin of the distribution network after a three-phase short-circuit fault occurs under the distributed photovoltaic access scheme k, and N is the number of nodes in the distribution network; is the short-circuit current amplitude of node D under distributed photovoltaic access scheme k; is the preset short-circuit current limit.

6. A method for evaluating a distributed photovoltaic access solution as claimed in claim 5, It is characterized in that The scheme data also includes: initial photovoltaic investment cost, equipment retirement cost coefficient, photovoltaic power generation equipment investment cost, equipment annual maintenance coefficient, photovoltaic power generation system operation cycle, photovoltaic power generation system annual average maintenance cost, photovoltaic power generation system annual power generation income, and photovoltaic power generation equipment recovery income; The historical operation data also includes: peak electricity prices, off-peak low prices, and normal electricity prices; The economic indicators corresponding to each distributed photovoltaic access scheme are constructed according to the scheme data and the historical operation data, including: Calculate the photovoltaic equipment retirement cost corresponding to each distributed photovoltaic access scheme according to the equipment retirement cost coefficient; Calculate the photovoltaic maintenance and replacement cost corresponding to each distributed photovoltaic access scheme according to the investment cost of the photovoltaic power generation equipment, the annual maintenance coefficient of the equipment, the operation cycle of the photovoltaic power generation system, and the average annual maintenance cost of the photovoltaic power generation system; Calculate the total cost of the photovoltaic power generation system of each distributed photovoltaic access solution based on the photovoltaic maintenance and replacement cost, the photovoltaic equipment decommissioning cost, and the photovoltaic initial investment cost; Calculate the total revenue of the photovoltaic power generation system of each distributed photovoltaic access solution based on the annual power generation revenue of the photovoltaic power generation system and the recovery revenue of the photovoltaic power generation equipment; Calculate the economic benefits of the photovoltaic system corresponding to each distributed photovoltaic access scheme according to the total cost of the photovoltaic power generation system and the total income of the photovoltaic power generation system; Calculate the photovoltaic system auxiliary service income corresponding to each distributed photovoltaic access scheme according to the peak electricity price, the valley low price, the normal electricity price, and the photovoltaic power generation power; According to the economic benefits of the photovoltaic system and the revenue from the auxiliary services of the photovoltaic system, economic indicators corresponding to each distributed photovoltaic access solution are constructed.

7. A method for evaluating a distributed photovoltaic access solution as claimed in claim 6, It is characterized in that The total score of each distributed photovoltaic access scheme is calculated based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme, including: According to the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access scheme, a set of evaluation indexes for each distributed photovoltaic access scheme is constructed; The combined weighting method is used to calculate the weight factors of each indicator in the evaluation indicator set of each distributed photovoltaic access solution; A multi-attribute decision-making algorithm is used to calculate the group benefit and individual regret value of each indicator in the evaluation indicator set of each distributed photovoltaic access scheme; According to the group benefits and individual regret values ​​of various indicators, the total score of each distributed photovoltaic access scheme is calculated.

8. An evaluation device for distributed photovoltaic access solutions, It is characterized in that include: A data acquisition module is used to acquire the topological structure of the distribution network to be connected to the photovoltaic power source, the line parameters of the distribution network, the historical operation data of the distribution network, and the scheme data of several distributed photovoltaic access schemes to be evaluated; A model building module, used to build a distribution network model corresponding to each distributed photovoltaic power source access solution according to the solution data, the topological structure, and the line parameters; A data calculation module, used to calculate the operation data of each branch of the distribution network in a preset time period under each distributed photovoltaic access scheme and the power consumption of regional distribution network users of the distribution network in a preset time period according to the scheme data, the distribution network grid model and the historical operation data; An indicator construction module, for constructing low-carbon benefit indicators, safety and stability indicators, and economic indicators of each distributed photovoltaic access scheme according to the scheme data, the distribution network model, the distributed photovoltaic access scheme, the historical operation data, the power consumption, and the operation data; A score statistics module is used to calculate the total score of each distributed photovoltaic access solution based on the low-carbon benefit index, safety and stability index, and economic index of each distributed photovoltaic access solution; The scheme evaluation module is used to compare the total scores of various distributed photovoltaic access schemes, and take the distributed photovoltaic access scheme corresponding to the highest total score as the optimal distributed photovoltaic access scheme.

9. An electronic device, It is 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 when the processor executes the computer program, an evaluation method for a distributed photovoltaic access scheme as described in any one of claims 1 to 7 is implemented.

10. A storage medium, It is characterized in that 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 evaluation method of a distributed photovoltaic access scheme as described in any one of claims 1 to 7.

Images