Novel power distribution network investment benefit analysis method

Abstract

The invention relates to the technical field of power distribution network benefit analysis, in particular to a novel power distribution network investment benefit analysis method. According to the scheme, the method comprises the steps of obtaining data online, processing the data and storing the data in a database; constructing a power distribution network standardization evaluation index system; performing multi-dimensional comprehensive evaluation according to the power distribution network standardization evaluation index system, and calculating a multi-dimensional comprehensive score; judging whether the multi-dimensional comprehensive score has a distortion risk or not, and if yes, temporarily replacing the multi-dimensional comprehensive score with the last multi-dimensional comprehensive score; part of investment is extracted for evaluation, and a check score is formed; and according to the check score, performing training optimization on a preset first coefficient, a preset second coefficient and a preset third coefficient to form a corrected multi-dimensional comprehensive score. According to the scheme, by developing an intelligent multi-dimensional comprehensive evaluation model, the combined influence of the environmental influence, the economic return and the technical performance is comprehensively evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of distribution network benefit analysis, and more specifically, to a novel distribution network investment benefit analysis method. Background Art

[0002] In the field of distribution network benefit analysis, the study of new distribution network investment benefit analysis methods is of great significance and far-reaching impact. This analysis method not only incorporates traditional economic indicators by constructing a comprehensive evaluation system, but also integrates multi-dimensional indicators such as technical performance, environmental impact and social responsibility, so that investment decisions can comprehensively measure the value of the project. Using this analysis method, decision makers can more accurately evaluate the long-term benefits and social impact of distribution network investment projects, optimize resource allocation, and promote sustainable development. This is of great importance in adapting to the increasingly complex power market environment, meeting the society's requirements for green, low-carbon and efficient energy supply, and improving the economy and reliability of the distribution network.

[0003] Prior to the technology of the present invention, the existing new distribution network investment benefit analysis methods mainly relied on financial indicators (such as net present value, internal rate of return, etc.), technical performance evaluation (such as power supply reliability and system loss) and certain environmental impact considerations. These methods usually analyze different evaluation indicators separately and then make a comprehensive judgment. The technical difficulty lies in how to objectively quantify and integrate multi-dimensional indicators so that investment decisions can fully reflect the economic benefits, technical performance, environmental and social impacts of the distribution network. The key points include: 1) Establishing a standardized and universal multi-dimensional evaluation indicator system; 2) Ensuring the accuracy of data and the applicability of the evaluation model; 3) Accurately measuring the mutual influence between different indicators and their impact on the overall evaluation results; 4) In-depth application of sensitivity analysis to identify key influencing factors; 5) Risk assessment and management to predict and mitigate potential uncertainties. Solving these difficulties and key points is crucial to improving the accuracy and practicality of distribution network investment benefit analysis. Summary of the invention

[0004] In view of the above problems, the present invention proposes a new distribution network investment benefit analysis method, which comprehensively evaluates the combined impact of environmental impact, economic return and technical performance by developing an intelligent multi-dimensional comprehensive evaluation model.

[0005] According to a first aspect of an embodiment of the present invention, a new distribution network investment benefit analysis method is provided.

[0006] In one or more embodiments, preferably, the novel distribution network investment benefit analysis method includes:

[0007] Obtain data online, process the data and store it in the database;

[0008] Construct a standardized evaluation index system for distribution networks;

[0009] Conduct multi-dimensional comprehensive evaluation based on the standardized evaluation index system of distribution network and calculate the multi-dimensional comprehensive score;

[0010] Determine whether there is a risk of distortion in the multi-dimensional comprehensive score. If so, temporarily replace it with the previous multi-dimensional comprehensive score;

[0011] Select a portion of the investment for evaluation and form a verification score;

[0012] According to the verification score, the preset first coefficient, second coefficient and third coefficient are optimized to form a corrected multi-dimensional comprehensive score.

[0013] In one or more embodiments, preferably, the online acquisition of data and the processing and storage of the data in a database specifically include:

[0014] Collect historical and forecast data, including capital costs, operating costs, power demand forecasts, power supply reliability records, environmental monitoring reports, and social responsibility reports;

[0015] The obtained data are subjected to outlier elimination, and then normalized using a standardized formula to obtain normalized data;

[0016] The standardized formula is:

[0017] z=(y-μ)σ

[0018] Among them, y is the original data, μ is the mean, σ is the standard deviation, and z is the normalized data.

[0019] In one or more embodiments, preferably, the construction of a standardized evaluation index system for distribution networks specifically includes:

[0020] Determine the evaluation objectives including economic return, optimized technical performance ratio and environmental impact;

[0021] Calculate the economic return using the first calculation formula;

[0022] Calculate the optimization technology performance ratio using the second calculation formula;

[0023] Calculate the environmental impact using the third calculation formula;

[0024] The first calculation formula is:

[0025] B=Q÷R

[0026] Among them, B is the economic return, Q is the return over the entire life cycle, and R is the investment of the program;

[0027] The second calculation formula is:

[0028]

[0029] Among them, Y is the performance ratio of the optimization technology, n is the total number of technologies, Xi is the performance of the i-th technology, and Xavg is the average performance index;

[0030] The third calculation formula is:

[0031] H=f1×(SQ-SH)

[0032] Among them, H is the environmental impact, f1 is the environmental analysis coefficient, SQ is the damage index before the scheme is put into operation, and SH is the damage index after the scheme is put into operation.

[0033] In one or more embodiments, preferably, the multi-dimensional comprehensive evaluation is performed according to the standardized evaluation index system of the distribution network, and the multi-dimensional comprehensive score is calculated, specifically including:

[0034] Setting evaluation dimensions includes environmental impact, economic returns, and technical performance;

[0035] Use the fourth calculation formula to complete the multi-dimensional comprehensive score calculation;

[0036] The fourth calculation formula is:

[0037] s=k1×H+k2×B+k3×Y

[0038] Among them, s is the multi-dimensional comprehensive score, k1 is the preset first coefficient, k2 is the preset second coefficient, and k3 is the preset third coefficient.

[0039] In one or more embodiments, preferably, the step of determining whether there is a risk of distortion in the multi-dimensional comprehensive score and, if so, temporarily replacing it with the previous multi-dimensional comprehensive score specifically includes:

[0040] Set the distribution network investment risk range based on the comprehensive score;

[0041] If the fifth calculation formula is satisfied, it is considered that the multi-dimensional comprehensive score is temporarily at risk of distortion and is temporarily replaced with the previous multi-dimensional comprehensive score. Otherwise, no processing is performed;

[0042] The fifth calculation formula is:

[0043] s∈Q

[0044] Among them, Q is the pre-set investment risk range.

[0045] In one or more embodiments, preferably, the extracting part of the investment for evaluation to form a verification score specifically includes:

[0046] For all investments, select a portion of the investment for evaluation, and the evaluation forms a verification score;

[0047] All calibration scores are stored in an assessment correction database.

[0048] In one or more embodiments, preferably, the first coefficient, the second coefficient and the third coefficient are optimized according to the verification score to form a corrected multi-dimensional comprehensive score, specifically including:

[0049] According to the feedback deviation, the optimal first coefficient, second coefficient and third coefficient are calculated using the sixth calculation formula;

[0050] Calculate the corrected multi-dimensional comprehensive score using the seventh calculation formula according to the optimal first coefficient, second coefficient and third coefficient;

[0051] The sixth calculation formula is:

[0052] [p1, p2, p3]=argmin(ΣPPj)

[0053] Wherein, [p1, p2, p3] is the set of the optimal first coefficient, second coefficient and third coefficient, argmin is the function of extracting the first coefficient, second coefficient and third coefficient with the smallest deviation between all the verification scores and the multi-dimensional comprehensive score, PPj is the deviation value in the j-th evaluation, obtained by subtracting the verification score from the multi-dimensional comprehensive score, and ΣPPj is the sum of the deviation values ​​corresponding to all the verification scores;

[0054] The seventh calculation formula is:

[0055] △s=p1×H+p2×B+p3×Y

[0056] Among them, △s is the multi-dimensional comprehensive score of correction.

[0057] According to a second aspect of an embodiment of the present invention, a new distribution network investment benefit analysis system is provided.

[0058] In one or more embodiments, preferably, the novel distribution network investment benefit analysis system includes:

[0059] Establish an evaluation index module to obtain data online and process and store the data in a database;

[0060] Data processing module, used to build a standardized evaluation index system for distribution networks;

[0061] An evaluation module is used to conduct a multi-dimensional comprehensive evaluation based on the standardized evaluation index system of the distribution network and calculate a multi-dimensional comprehensive score;

[0062] The risk assessment module is used to determine whether the multi-dimensional comprehensive score has a risk of distortion. If so, it is temporarily replaced with the previous multi-dimensional comprehensive score;

[0063] The decision-making system module is used to extract some investments for evaluation and form a verification score;

[0064] The tracking feedback module is used to train and optimize the preset first coefficient, second coefficient and third coefficient according to the verification score to form a corrected multi-dimensional comprehensive score.

[0065] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0066] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0067] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0068] In the scheme of the present invention, a multi-dimensional comprehensive analysis is conducted through environmental impact, economic return and technical performance.

[0069] In the solution of the present invention, online verification is performed according to the investment situation, and accurate multi-dimensional comprehensive analysis results are verified online.

[0070] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0071] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0073] Figure 1 The present invention is a flowchart of a novel distribution network investment benefit analysis method according to an embodiment of the present invention.

[0074] Figure 2 The invention is a flowchart of online data acquisition in a novel distribution network investment benefit analysis method according to an embodiment of the present invention, and data processing and storage in a database.

[0075] Figure 3 The present invention is a flowchart of constructing a standardized evaluation index system for distribution network in a novel distribution network investment benefit analysis method according to an embodiment of the present invention.

[0076] Figure 4 The present invention is a flowchart of a novel distribution network investment benefit analysis method in an embodiment of the present invention, which performs a multi-dimensional comprehensive evaluation based on a distribution network standardized evaluation index system and calculates a multi-dimensional comprehensive score.

[0077] Figure 5 It is a flowchart of judging whether there is a distortion risk in a multi-dimensional comprehensive score in a novel distribution network investment benefit analysis method according to an embodiment of the present invention, and temporarily replacing it with the previous multi-dimensional comprehensive score if there is a distortion risk.

[0078] Figure 6 The invention discloses a flow chart of extracting part of the investment for evaluation and forming a verification score in a novel distribution network investment benefit analysis method according to an embodiment of the present invention.

[0079] Figure 7 It is a flowchart of a novel distribution network investment benefit analysis method in one embodiment of the present invention, in which a preset first coefficient, a second coefficient and a third coefficient are trained and optimized according to the verification score to form a corrected multi-dimensional comprehensive score.

[0080] Figure 8 It is a structural diagram of a new distribution network investment benefit analysis system according to an embodiment of the present invention.

[0081] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0082] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0083] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0084] In the field of distribution network benefit analysis, the study of new distribution network investment benefit analysis methods is of great significance and far-reaching impact. This analysis method not only incorporates traditional economic indicators by constructing a comprehensive evaluation system, but also integrates multi-dimensional indicators such as technical performance, environmental impact and social responsibility, so that investment decisions can comprehensively measure the value of the project. Using this analysis method, decision makers can more accurately evaluate the long-term benefits and social impact of distribution network investment projects, optimize resource allocation, and promote sustainable development. This is of great importance in adapting to the increasingly complex power market environment, meeting the society's requirements for green, low-carbon and efficient energy supply, and improving the economy and reliability of the distribution network.

[0085] Prior to the technology of the present invention, the existing new distribution network investment benefit analysis methods mainly relied on financial indicators (such as net present value, internal rate of return, etc.), technical performance evaluation (such as power supply reliability and system loss) and certain environmental impact considerations. These methods usually analyze different evaluation indicators separately and then make a comprehensive judgment. The technical difficulty lies in how to objectively quantify and integrate multi-dimensional indicators so that investment decisions can fully reflect the economic benefits, technical performance, environmental and social impacts of the distribution network. The key points include: 1) Establishing a standardized and universal multi-dimensional evaluation indicator system; 2) Ensuring the accuracy of data and the applicability of the evaluation model; 3) Accurately measuring the mutual influence between different indicators and their impact on the overall evaluation results; 4) In-depth application of sensitivity analysis to identify key influencing factors; 5) Risk assessment and management to predict and mitigate potential uncertainties. Solving these difficulties and key points is crucial to improving the accuracy and practicality of distribution network investment benefit analysis.

[0086] In an embodiment of the present invention, a novel distribution network investment benefit analysis method is provided. The solution comprehensively evaluates the combined impact of environmental impact, economic return and technical performance by developing an intelligent multi-dimensional comprehensive evaluation model.

[0087] According to a first aspect of an embodiment of the present invention, a new distribution network investment benefit analysis method is provided.

[0088] Figure 1 The present invention is a flowchart of a novel distribution network investment benefit analysis method according to an embodiment of the present invention.

[0089] In one or more embodiments, preferably, the novel distribution network investment benefit analysis method includes:

[0090] S101, acquiring data online, and processing and storing the data in a database;

[0091] S102. Construct a standardized evaluation index system for distribution networks;

[0092] S103, perform a multi-dimensional comprehensive evaluation based on the standardized evaluation index system of the distribution network, and calculate a multi-dimensional comprehensive score;

[0093] S104, determining whether there is a risk of distortion in the multi-dimensional comprehensive score, and if so, temporarily replacing it with the previous multi-dimensional comprehensive score;

[0094] S105. Select a portion of the investment for evaluation and form a verification score;

[0095] S106. According to the verification score, the preset first coefficient, second coefficient and third coefficient are optimized to form a corrected multi-dimensional comprehensive score.

[0096] In the embodiment of the present invention, it is applied to multi-dimensional comprehensive evaluation, which ensures the scientific nature of the evaluation index weights and the consistency of the evaluation process. The advantage is that the importance of indicators in different dimensions can be systematically quantified, making investment decisions more objective and comprehensive.

[0097] Figure 2 The invention is a flowchart of online data acquisition in a novel distribution network investment benefit analysis method according to an embodiment of the present invention, and data processing and storage in a database.

[0098] like Figure 2 As shown, in one or more embodiments, preferably, the online acquisition of data and the processing and storage of the data in a database specifically include:

[0099] S201. Collect historical and forecast data, wherein the historical and forecast data include capital cost, operating cost, power demand forecast, power supply reliability record, environmental monitoring report and social responsibility report;

[0100] S202, removing outliers from the obtained data, and then normalizing the data using a standardization formula to obtain normalized data;

[0101] The standardized formula is:

[0102] z=(y-μ)σ

[0103] Among them, y is the original data, μ is the mean, σ is the standard deviation, and z is the normalized data.

[0104] In an embodiment of the present invention, historical data and forecast data including capital cost, operating cost, power demand forecast, power supply reliability record, environmental monitoring report and social responsibility report are collected online. These data may come from different systems and platforms. For example, capital cost and operating cost data may come from the financial system, power demand forecast data may come from the energy management system, power supply reliability record may come from the operation and maintenance system, and environmental monitoring report and social responsibility report may come from public databases or relevant institutions. The acquired data is preprocessed, including outlier removal and normalization. Outlier removal is to ensure the accuracy of data analysis. For example, if a capital cost data is far below or above the industry average, it may be necessary to further verify its accuracy and decide whether to retain it. Normalization is to convert the data to a unified scale for comprehensive analysis and comparison. The standardized formula z = (x-μ) is used to normalize the data. Among them, x is the original data, μ is the average value, and σ is the standard deviation. For example, for power demand forecast data, assuming that the power demand forecast value of a certain region is 500 MW, the average power demand forecast value of the region is 450 MW, and the standard deviation is 50 MW, then the normalized value is z = (500-450) ÷ 50 = 1. The processed data is stored in the database for further analysis and use. The database should be designed to support efficient data retrieval and update to meet possible real-time data analysis needs.

[0105] Figure 3 The present invention is a flowchart of constructing a standardized evaluation index system for distribution network in a novel distribution network investment benefit analysis method according to an embodiment of the present invention.

[0106] like Figure 3 As shown, in one or more embodiments, preferably, the construction of a standardized evaluation index system for distribution networks specifically includes:

[0107] S301. Determine the evaluation objectives including economic return, optimization of technical performance ratio and environmental impact;

[0108] S302, calculating the economic return using the first calculation formula;

[0109] S303, calculating the optimization technology performance ratio using a second calculation formula;

[0110] S304, calculating the environmental impact using a third calculation formula;

[0111] The first calculation formula is:

[0112] B=Q÷R

[0113] Among them, B is the economic return, Q is the return over the entire life cycle, and R is the investment of the program;

[0114] The second calculation formula is:

[0115]

[0116] Among them, Y is the performance ratio of the optimization technology, n is the total number of technologies, Xi is the performance of the i-th technology, and Xavg is the average performance index;

[0117] The third calculation formula is:

[0118] H=f1×(SQ-SH)

[0119] Among them, H is the environmental impact, f1 is the environmental analysis coefficient, SQ is the damage index before the scheme is put into operation, and SH is the damage index after the scheme is put into operation.

[0120] In an embodiment of the present invention, a standardized evaluation index system for distribution networks is constructed, and first of all, the evaluation objectives are clarified, including economic return, optimized technical performance ratio, and environmental impact. These objectives are intended to comprehensively evaluate the benefits and impacts of distribution network investment decisions. Calculation of economic return: The economic return B is calculated using the first calculation formula B=QR, where Q is the full life cycle return, that is, the sum of all economic benefits generated by the distribution network project from the beginning to the end; R is the program investment, that is, the total cost required to implement the distribution network project. For example, if the full life cycle return of a distribution network upgrade project is US$100 million and the total project cost is US$50 million, the economic return B is 2. Calculation of optimized technical performance ratio: Using the second calculation formula Calculate the optimized technology performance ratio Y, where n is the total number of technologies, Xi is the performance of the i-th technology, and Xavg is the average performance index. This formula reflects the degree of performance optimization of the adopted technology compared to the average level. For example, if a distribution network project adopts 5 new technologies, the performance of each technology is 1.2, 1.1, 1.3, 1.0 and 1.0, and the average performance index is 1.0, then the optimized technology performance ratio Y is 4.6. Calculation of environmental impact: The environmental impact H is calculated using the third calculation formula H = f1 × (SQ-SH), where f1 is the environmental analysis coefficient, SQ is the damage index before the scheme is put into operation, and SH is the damage index after the scheme is put into operation. This formula measures the change in environmental damage caused by the distribution network project. For example, if the environmental analysis coefficient is 0.5, the damage index before the project is implemented is 10, and the damage index after implementation is 5, then the environmental impact H is -2.5, indicating that the project has reduced environmental damage.

[0121] Figure 4 The present invention is a flowchart of a novel distribution network investment benefit analysis method in an embodiment of the present invention, which performs a multi-dimensional comprehensive evaluation based on a distribution network standardized evaluation index system and calculates a multi-dimensional comprehensive score.

[0122] like Figure 4 As shown, in one or more embodiments, preferably, the multi-dimensional comprehensive evaluation is performed according to the standardized evaluation index system of the distribution network, and the multi-dimensional comprehensive score is calculated, which specifically includes:

[0123] S401. Set evaluation dimensions including environmental impact, economic returns and technical performance;

[0124] S402, using the fourth calculation formula to complete the multi-dimensional comprehensive score calculation;

[0125] The fourth calculation formula is:

[0126] s=k1×H+k2×B+k3×Y

[0127] Among them, s is the multi-dimensional comprehensive score, k1 is the preset first coefficient, k2 is the preset second coefficient, and k3 is the preset third coefficient.

[0128] In an embodiment of the present invention, when conducting a multi-dimensional comprehensive evaluation of distribution network investment decisions, evaluation dimensions including environmental impact, economic return and technical performance are first set. These dimensions are intended to comprehensively evaluate the benefits and impacts of distribution network investment projects from different angles. Multi-dimensional comprehensive score calculation: The calculation of the multi-dimensional comprehensive score S is completed using the fourth calculation formula S=k1×H+k2×B+k3×Y. Among them, H is the environmental impact score, B is the economic return score, Y is the technical performance score, and k1, k2, and k3 are the preset first coefficient, second coefficient, and third coefficient, respectively. These coefficients are set according to the importance and preference of the evaluation, reflecting the weights of different dimensions in the comprehensive evaluation. For example, for a distribution network upgrade project, assume that the environmental impact score H is 0.8, the economic return score B is 1.5, and the technical performance score Y is 1.2. If the first coefficient k1 is 0.4, the second coefficient k2 is 0.5, and the third coefficient k3 is 0.6, the multi-dimensional comprehensive score S is 0.4×0.8+0.5×1.5+0.6×1.2=0.32+0.75+0.72=1.790.4×0.8+0.5×1.5+0.6×1.2=0.32+0.75+0.72=1.79. Through the above steps, the environmental impact, economic return and technical performance of the distribution network investment project can be comprehensively considered, and a multi-dimensional comprehensive score can be calculated, which provides a quantitative evaluation indicator for investment decision-making. This multi-dimensional comprehensive evaluation method helps decision makers to more comprehensively understand the multi-faceted impact of the project and make more informed investment decisions.

[0129] Figure 5 It is a flowchart of judging whether there is a distortion risk in a multi-dimensional comprehensive score in a novel distribution network investment benefit analysis method according to an embodiment of the present invention, and temporarily replacing it with the previous multi-dimensional comprehensive score if there is a distortion risk.

[0130] like Figure 5 As shown, in one or more embodiments, preferably, the step of determining whether there is a risk of distortion in the multi-dimensional comprehensive score and, if so, temporarily replacing it with the previous multi-dimensional comprehensive score specifically includes:

[0131] S501. Set the distribution network investment risk range according to the comprehensive score;

[0132] S502: If the fifth calculation formula is satisfied, it is considered that the multi-dimensional comprehensive score temporarily has a risk of distortion and is temporarily replaced with the previous multi-dimensional comprehensive score; otherwise, no processing is performed;

[0133] The fifth calculation formula is:

[0134] s∈Q

[0135] Among them, Q is the pre-set investment risk range.

[0136] In an embodiment of the present invention, after obtaining the multi-dimensional comprehensive score S of the distribution network investment project, it is necessary to determine whether the score has a distortion risk. To this end, the fifth calculation formula S∈Q is used to evaluate according to the pre-set distribution network investment risk interval Q. If S falls within the risk interval Q, it is considered that the multi-dimensional comprehensive score temporarily has a distortion risk, and it will be temporarily replaced by the last multi-dimensional comprehensive score; if S is not within the risk interval Q, the score is considered valid and no processing is performed. For example, assuming that the pre-set distribution network investment risk interval Q is [-0.5, 0.5], that is, if the value of the multi-dimensional comprehensive score S is between -0.5 and 0.5, it is considered that there is a distortion risk. For a specific distribution network upgrade project, if the calculated current multi-dimensional comprehensive score S is 0.4, then according to the judgment of the fifth calculation formula S∈Q, the score falls within the risk interval, so it is considered that there is a distortion risk. At this time, the last valid multi-dimensional comprehensive score will be used to replace the current score for subsequent analysis. If the current score is 0.6, it is not within the risk interval, the score is considered valid, and the score continues to be used for subsequent analysis. Through the above steps, it is possible to effectively identify and process the multi-dimensional comprehensive scores that may be distorted, ensuring the accuracy and reliability of the basis for distribution network investment decisions. This method helps to avoid investment decision-making errors caused by distorted scores and improves the scientificity and rationality of investment decisions.

[0137] Figure 6 The invention discloses a flow chart of extracting part of the investment for evaluation and forming a verification score in a novel distribution network investment benefit analysis method according to an embodiment of the present invention.

[0138] like Figure 6As shown, in one or more embodiments, preferably, the extracting part of the investment for evaluation to form a verification score specifically includes:

[0139] S601. From all investments, select a portion of the investments for evaluation and form a verification score;

[0140] S602. Store all the verification scores into an evaluation and correction database.

[0141] In an embodiment of the present invention, part of the investment is extracted from the total investment of the distribution network for evaluation. In this process, the selected investment should represent the diversity of the overall investment to ensure the breadth and accuracy of the evaluation results. For example, if the distribution network investment includes multiple regions and multiple types of projects, such as urban distribution network upgrades, rural power grid expansion, etc., the extracted investment should cover these different regions and project types. An in-depth evaluation is conducted on the extracted part of the investment to form a verification score. This verification score is a quantitative evaluation of the investment performance, including but not limited to the economic benefits, social benefits, and environmental impact of the investment. For example, for a specific distribution network upgrade project, its effect of improving power supply reliability (social benefits), the economic benefits brought by reducing line losses, and the environmental benefits of reducing carbon emissions can be evaluated, and these factors are combined to form a verification score. All the formed verification scores are stored in a special evaluation and correction database. This database is designed to efficiently store, retrieve, and update data to support subsequent data analysis and decision-making. For example, the database can use distributed storage to ensure the security and accessibility of the data, while allowing users to quickly retrieve the verification score according to different query conditions (such as region, project type, scoring range, etc.). Through the above steps, some samples of distribution network investment can be effectively extracted and evaluated, and verification scores can be formed, and these scores can be stored in the evaluation and correction database. This not only provides a quantitative basis for the performance evaluation of distribution network investment, but also provides data support for subsequent investment decisions and corrective measures.

[0142] Figure 7 It is a flowchart of a novel distribution network investment benefit analysis method in one embodiment of the present invention, in which a preset first coefficient, a second coefficient and a third coefficient are trained and optimized according to the verification score to form a corrected multi-dimensional comprehensive score.

[0143] like Figure 7 As shown, in one or more embodiments, preferably, the preset first coefficient, second coefficient and third coefficient are trained and optimized according to the verification score to form a corrected multi-dimensional comprehensive score, specifically including:

[0144] S701, calculating the optimal first coefficient, second coefficient and third coefficient using a sixth calculation formula according to the feedback deviation;

[0145] S702, calculating a corrected multi-dimensional comprehensive score using a seventh calculation formula according to the optimal first coefficient, second coefficient, and third coefficient;

[0146] The sixth calculation formula is:

[0147] [p1, p2, p3]=argmin(ΣPPj)

[0148] Wherein, [p1, p2, p3] is the set of the optimal first coefficient, second coefficient and third coefficient, argmin is the function of extracting the first coefficient, second coefficient and third coefficient with the smallest deviation between all the verification scores and the multi-dimensional comprehensive score, PPj is the deviation value in the j-th evaluation, obtained by subtracting the verification score from the multi-dimensional comprehensive score, and ΣPPj is the sum of the deviation values ​​corresponding to all the verification scores;

[0149] The seventh calculation formula is:

[0150] △s=p1×H+p2×B+p3×Y

[0151] Among them, △s is the multi-dimensional comprehensive score of correction.

[0152] In an embodiment of the present invention, according to the verification score, the preset first coefficient, second coefficient and third coefficient are trained to form a corrected multidimensional comprehensive score. According to the feedback deviation, the optimal first coefficient, second coefficient and third coefficient are calculated using the sixth calculation formula; according to the optimal first coefficient, second coefficient and third coefficient, the corrected multidimensional comprehensive score is calculated using the seventh calculation formula; the sixth calculation formula is: [p1, p2, p3] = argmin (ΣPPj) wherein [p1, p2, p3] is a set of the optimal first coefficient, second coefficient and third coefficient, argmin is a function for extracting the first coefficient, second coefficient and third coefficient with the smallest deviation between all verification scores and the multidimensional comprehensive score, PPj is the deviation value in the jth evaluation, obtained by subtracting the verification score from the multidimensional comprehensive score, and ΣPPj is the sum of the deviation values ​​corresponding to all verification scores; the seventh calculation formula is: △s = p1×H+p2×B+p3×Y wherein △s is the corrected multidimensional comprehensive score.

[0153] According to a second aspect of an embodiment of the present invention, a new distribution network investment benefit analysis system is provided.

[0154] Figure 8 It is a structural diagram of a new distribution network investment benefit analysis system according to an embodiment of the present invention.

[0155] In one or more embodiments, preferably, the novel distribution network investment benefit analysis system includes:

[0156] Establishing an evaluation index module 801 for acquiring data online and processing and storing the data in a database;

[0157] The data processing module 802 is used to construct a standardized evaluation index system for distribution network;

[0158] Evaluation module 803, used to perform multi-dimensional comprehensive evaluation according to the standardized evaluation index system of distribution network and calculate the multi-dimensional comprehensive score;

[0159] The risk assessment module 804 is used to determine whether the multi-dimensional comprehensive score has a risk of distortion, and if so, temporarily replace it with the previous multi-dimensional comprehensive score;

[0160] The decision system module 805 is used to extract part of the investment for evaluation and form a verification score;

[0161] The tracking feedback module 806 is used to train the preset first coefficient, second coefficient and third coefficient according to the verification score to form a corrected multi-dimensional comprehensive score.

[0162] In the embodiment of the present invention, a system suitable for different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0163] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0164] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided. Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Fig. 9The electronic device shown is a general new distribution network investment benefit analysis device, which includes a general computer hardware structure, which at least includes a processor 901 and a memory 902. The processor 901 and the memory 902 are connected via a bus 903. The memory 902 is suitable for storing instructions or programs executable by the processor 901. The processor 901 can be an independent microprocessor or a collection of one or more microprocessors. Thus, the processor 901 executes the instructions stored in the memory 902, thereby executing the method flow of the embodiment of the present invention as described above to realize the processing of data and the control of other devices. The bus 903 connects the above-mentioned multiple components together, and at the same time connects the above-mentioned components to the display controller 904 and the display device and the input / output (I / O) device 905. The input / output (I / O) device 905 can be a mouse, a keyboard, a modem, a network interface, a touch input device, a somatosensory input device, a printer, and other devices known in the art. Typically, the input / output device 905 is connected to the system through an input / output (I / O) controller 906.

[0165] The technical solution provided by the embodiments of the present invention may have the following beneficial effects:

[0166] In the scheme of the present invention, a multi-dimensional comprehensive analysis is conducted through environmental impact, economic return and technical performance.

[0167] In the solution of the present invention, online verification is performed according to the investment situation, and accurate multi-dimensional comprehensive analysis results are verified online.

[0168] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program code.

[0169] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1A device that provides the functions specified in a block or multiple blocks.

[0170] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0171] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0172] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A new distribution network investment benefit analysis method, It is characterized in that The method includes: Obtain data online, process the data and store it in the database; Construct a standardized evaluation index system for distribution networks; Conduct multi-dimensional comprehensive evaluation based on the standardized evaluation index system of distribution network and calculate the multi-dimensional comprehensive score; Determine whether there is a risk of distortion in the multi-dimensional comprehensive score. If so, temporarily replace it with the previous multi-dimensional comprehensive score; Select a portion of the investment for evaluation and form a verification score; According to the verification score, the preset first coefficient, second coefficient and third coefficient are optimized to form a corrected multi-dimensional comprehensive score.

2. A new distribution network investment benefit analysis method as claimed in claim 1, It is characterized in that The online acquisition of data and the processing and storage of the data in a database specifically include: Collect historical data, including capital costs, operating costs, power demand forecasts, power supply reliability records, environmental monitoring reports, and social responsibility reports; After removing outliers from the historical data, the obtained data is normalized using a standardized formula to obtain the normalized data and store them in a database; The standardized formula is: z=(y-μ)÷σ Among them, y is the original data, μ is the mean, σ is the standard deviation, and z is the normalized data.

3. A new distribution network investment benefit analysis method as claimed in claim 1, It is characterized in that The construction of a standardized evaluation index system for distribution network specifically includes: Determine the evaluation objectives including economic return, optimized technical performance ratio and environmental impact; Calculate the economic return using the first calculation formula; Calculate the optimization technology performance ratio using the second calculation formula; Calculate the environmental impact using the third calculation formula; The first calculation formula is: B=Q÷R Among them, B is the economic return, Q is the return over the entire life cycle, and R is the investment of the program; The second calculation formula is: Among them, Y is the performance ratio of the optimization technology, n is the total number of technologies, Xi is the performance of the i-th technology, and Xavg is the average performance index; The third calculation formula is: H=f1×(SQ-SH) Among them, H is the environmental impact, f1 is the environmental analysis coefficient, SQ is the damage index before the scheme is put into operation, and SH is the damage index after the scheme is put into operation.

4. A new distribution network investment benefit analysis method as claimed in claim 1, It is characterized in that The multi-dimensional comprehensive evaluation is performed according to the standardized evaluation index system of the distribution network, and the multi-dimensional comprehensive score is calculated, specifically including: Setting evaluation dimensions includes environmental impact, economic returns, and technical performance; Use the fourth calculation formula to complete the multi-dimensional comprehensive score calculation; The fourth calculation formula is: s=k1×H+k2×B+k3×Y Among them, s is the multi-dimensional comprehensive score, k1 is the preset first coefficient, k2 is the preset second coefficient, and k3 is the preset third coefficient.

5. A new distribution network investment benefit analysis method as claimed in claim 1, It is characterized in that The determination of whether there is a risk of distortion in the multi-dimensional comprehensive score, if so, temporarily replacing it with the previous multi-dimensional comprehensive score, specifically includes: Set the distribution network investment risk range based on the comprehensive score; If the fifth calculation formula is satisfied, it is considered that the multi-dimensional comprehensive score is temporarily at risk of distortion and is temporarily replaced with the previous multi-dimensional comprehensive score. Otherwise, no processing is performed; The fifth calculation formula is: s∈Q Among them, Q is the pre-set investment risk range.

6. A new distribution network investment benefit analysis method as claimed in claim 1, It is characterized in that The said part of the investment is evaluated to form a verification score, which specifically includes: For all investments, select a portion of the investment for evaluation, and the evaluation forms a verification score; All calibration scores are stored in an assessment correction database.

7. A new distribution network investment benefit analysis method as claimed in claim 1, It is characterized in that The first coefficient, the second coefficient and the third coefficient are optimized according to the verification score to form a corrected multi-dimensional comprehensive score, specifically including: According to the feedback deviation, the optimal first coefficient, second coefficient and third coefficient are calculated using the sixth calculation formula; Calculate the corrected multi-dimensional comprehensive score using the seventh calculation formula according to the optimal first coefficient, second coefficient and third coefficient; The sixth calculation formula is: [p1, p2, p3]=argmin(ΣPPj) Wherein, [p1, p2, p3] is the set of the optimal first coefficient, second coefficient and third coefficient, argmin is the function of extracting the first coefficient, second coefficient and third coefficient with the smallest deviation between all the verification scores and the multi-dimensional comprehensive score, PPj is the deviation value in the j-th evaluation, obtained by subtracting the verification score from the multi-dimensional comprehensive score, and ΣPPj is the sum of the deviation values ​​corresponding to all the verification scores; The seventh calculation formula is: △s=p1×H+p2×B+p3×Y Among them, △s is the multi-dimensional comprehensive score of correction.

8. A new distribution network investment benefit analysis system, It is characterized in that The system is used to implement the method according to any one of claims 1 to 7, and the system comprises: Establish an evaluation index module to obtain data online and process and store the data in a database; Data processing module, used to build a standardized evaluation index system for distribution networks; An evaluation module is used to conduct a multi-dimensional comprehensive evaluation based on the standardized evaluation index system of the distribution network and calculate a multi-dimensional comprehensive score; The risk assessment module is used to determine whether the multi-dimensional comprehensive score has a risk of distortion. If so, it is temporarily replaced with the previous multi-dimensional comprehensive score; The decision-making system module is used to extract some investments for evaluation and form a verification score; The tracking feedback module is used to train and optimize the preset first coefficient, second coefficient and third coefficient according to the verification score to form a corrected multi-dimensional comprehensive score.

9. A computer-readable storage medium having computer program instructions stored thereon, It is characterized in that The computer program instructions implement the method according to any one of claims 1 to 7 when executed by a processor.

10. An electronic device comprising a memory and a processor, It is characterized in that The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1-7.

Images