Transformer substation low-carbon level evaluation method and device considering multi-dimensional index space, electronic equipment and storage medium

Abstract

The invention discloses a transformer substation low-carbon level evaluation method and device considering a multi-dimensional index space, electronic equipment and a storage medium, and belongs to the field of energy conservation and emission reduction, and the method comprises the steps: collecting the investment cost, gas emission, equipment operation, energy structure, land utilization, material use and other data of all transformer substations in a transformer area; generating a unit cost carbon emission, a transformer loss rate, an equipment aging degree, a clean energy ratio, a green coverage rate and an environmental protection material ratio, and forming an evaluation index set; analyzing the influence relationship among the indexes, and calculating a correlation degree weight and a dispersion degree weight to obtain a comprehensive weight; and finally, calculating a comprehensive low-carbon level value of the to-be-evaluated transformer substation in the transformer area based on the comprehensive weight and the index value, and outputting a low-carbon level evaluation result according to a preset standard. By implementing the method, the problem that the multi-factor coupling relationship cannot be accurately quantified in the low-carbon level evaluation of the transformer substation in the prior art can be solved.

Description

Technical Field

[0001] The present invention relates to the technical field of energy conservation and emission reduction, and in particular to a method, device, electronic device and storage medium for evaluating the low-carbon level of a substation considering a multi-dimensional indicator space. Background Art

[0002] As crucial nodes in the power system, substations not only perform the conversion and distribution of electrical energy but also play a key role in ensuring the safe and stable operation of the power grid. The low-carbonization level of substations has become a key indicator for measuring the green transformation of the power system. A sound assessment of a substation's low-carbon performance helps identify its strengths and weaknesses in energy conservation and carbon reduction, providing data support for the development of targeted carbon reduction measures. Furthermore, quantitative assessment results can optimize substation operations and management, promote the use of clean energy, and contribute to the reduction of overall carbon emissions in the power industry.

[0003] The main challenge in assessing substation low-carbon performance is that existing methods fail to effectively consider the complex coupling between multiple dimensions. Substation low-carbonization is influenced by numerous factors, including equipment operating status, carbon emissions, energy mix, and land use. The interactions between these factors are difficult to accurately quantify using traditional methods. Existing assessment systems often overlook the interdependencies between these factors when integrating this multi-dimensional data, resulting in incomplete and inaccurate assessment results that fail to truly reflect the substation's low-carbon status. Summary of the Invention

[0004] Embodiments of the present invention provide a method, device, electronic device, and storage medium for assessing the low-carbon status of a substation, taking into account a multi-dimensional indicator space. The present invention addresses the existing problem of being unable to accurately quantify the coupling relationships between multiple factors in substation low-carbon status assessments.

[0005] An embodiment of the present invention provides a method for assessing the low-carbon level of a substation taking into account a multi-dimensional indicator space, including: obtaining investment cost data, gas emission data, equipment operating parameters, energy structure data, land use data, and construction material usage data of all substations in a substation area; generating unit cost carbon emissions corresponding to each substation based on the investment cost data and the gas emission data; Generate the transformer loss rate and equipment aging degree corresponding to each substation based on the equipment operating parameters; Based on the energy structure data, the clean energy ratio corresponding to each substation is generated; based on the land use data, the green coverage rate corresponding to each substation is generated; based on the construction material usage data, the environmentally friendly material ratio corresponding to each substation is generated; The unit cost carbon emissions, transformer loss rate, equipment aging degree, clean energy ratio, green coverage rate, and environmentally friendly material ratio of each substation are added to the evaluation indicator set; Analyze the mutual influence relationship between each evaluation indicator in the evaluation indicator set to generate the correlation weight of each evaluation indicator; calculate the entropy value of each evaluation indicator in the evaluation indicator set to generate the dispersion weight of each evaluation indicator; generate the comprehensive weight of each evaluation indicator based on the correlation weight and the dispersion weight; Based on the comprehensive weight and the evaluation index set, the comprehensive low-carbon level value of the substation to be evaluated in the substation area is calculated and generated; based on the comprehensive low-carbon level value and the preset low-carbon level classification standard, the low-carbon level evaluation result of the substation to be evaluated in the substation area is generated.

[0006] Furthermore, the analysis of the mutual influence relationship between each evaluation indicator in the evaluation indicator set to generate the correlation weight of each evaluation indicator includes: Based on the set of evaluation indicators, an initial direct impact matrix is ​​constructed; Normalizing the initial direct impact matrix to generate a normalized direct impact matrix; Based on the normalized direct impact matrix, calculate the influence and impact of each evaluation indicator; According to the direct influence and influence of each evaluation indicator, the centrality and causal degree of each evaluation indicator are calculated; According to the centrality and causality of each evaluation indicator, the correlation weight of each evaluation indicator is calculated; Among them, the direct influence of the j-th evaluation indicator is calculated by the following formula: Where D j is the direct influence of the jth evaluation indicator; x jl is the element in the normalized direct influence matrix X, representing the normalized direct influence intensity of the jth evaluation indicator on the lth evaluation indicator; n is the total number of evaluation indicators; The influence of the j-th evaluation indicator is calculated using the following formula: Where R j is the influence degree of the jth evaluation indicator; x lj is the element in the normalized direct influence matrix X, representing the normalized direct influence intensity of the lth evaluation indicator on the jth evaluation indicator.

[0007] Furthermore, the step of calculating the entropy value of each evaluation indicator in the evaluation indicator set and generating the discrete weight of each evaluation indicator includes: Normalizing each evaluation indicator value in the evaluation indicator set to generate each standardized evaluation indicator value; According to each standardized evaluation index value, the index value proportion of each evaluation index value under the corresponding evaluation index is generated; Calculate the entropy value of each evaluation indicator according to the proportion of each evaluation indicator value under the corresponding evaluation indicator; According to the entropy value of each evaluation indicator, the dispersion weight of each evaluation indicator is calculated; Among them, the entropy value E of the j-th evaluation indicator is calculated by the following formula j : Where, E j is the entropy value of the jth evaluation index; m is the number of all substations in the substation area; p ij is the proportion of the index value of the i-th substation under the j-th evaluation index; The dispersion weight of the j-th evaluation indicator is calculated by the following formula: in, is the discrete weight of the j-th evaluation indicator.

[0008] Furthermore, the comprehensive weight of the j-th evaluation indicator is generated by the following formula: in, is the comprehensive weight of the jth evaluation index; is the correlation weight of the jth evaluation indicator; is the discrete weight of the jth evaluation indicator; α is the optimal distribution coefficient of the preset association weight; β is the optimal distribution coefficient of the preset discrete weight.

[0009] Furthermore, the comprehensive low-carbon level value of the substation to be evaluated in the substation area is calculated using the following formula: Among them, S 待评估 is the comprehensive low-carbon level value of the substation to be evaluated in the substation area; is the standardized value of the substation to be evaluated in the substation area on the jth evaluation indicator.

[0010] Furthermore, the transformer loss rate of the i-th substation is calculated by the following formula: Among them, Z 21，i is the transformer loss rate of the i-th substation; ΔA 0，i is the power loss of the transformer of the i-th substation in the no-load state during the evaluation period; ΔAR，i is the power loss of the transformer of the i-th substation under load during the evaluation period; P 1,i is the total primary side input power of the transformer of the i-th substation during the evaluation period; P K，i is the active power loss under rated load given on the transformer nameplate of the i-th substation; I rms，i is the actual effective value of the load-side current of the transformer at the i-th substation during the evaluation period; I N，i The maximum load-side current allowed by the transformer design of the i-th substation; T i is the cumulative operating time of the transformer of the i-th substation during the evaluation period; P 0，i is the active power loss in the no-load state given on the transformer nameplate of the i-th substation; U av，i is the average voltage on the power supply side of the transformer at the i-th substation during the evaluation period; U tap，i is the rated voltage corresponding to the tap changer operated by the transformer of the i-th substation during the evaluation period.

[0011] Furthermore, the aging degree of the equipment in the i-th substation is calculated by the following formula: Among them, Z 22，i is the aging degree of equipment in the i-th substation; n e，i is the total number of equipment included in the evaluation scope in the i-th substation; Y k，i is the number of years that the kth equipment in the i-th substation has been in operation, and L is the set standard operating life of the equipment.

[0012] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0013] An embodiment of the present invention provides a substation low-carbon level assessment device that considers a multi-dimensional indicator space, comprising: a substation data acquisition module, a cost-effectiveness indicator generation module, an energy efficiency indicator generation module, an environmental load indicator generation module, an assessment indicator set generation module, a comprehensive weight generation module, and a low-carbon level assessment module; The substation data acquisition module is used to obtain investment cost data, gas emission data, equipment operating parameters, energy structure data, land use data and construction material usage data of all substations in the substation area; The cost-effectiveness index generating module is configured to generate the unit cost carbon emissions corresponding to each substation based on the investment cost data and the gas emission data; The energy efficiency index generation module is used to generate the transformer loss rate and equipment aging degree corresponding to each substation according to the equipment operating parameters; The environmental carrying index generation module is used to generate the clean energy ratio corresponding to each substation based on the energy structure data; generate the green coverage rate corresponding to each substation based on the land use data; and generate the environmentally friendly material ratio corresponding to each substation based on the construction material usage data; The evaluation index set generation module is used to add the unit cost carbon emissions, transformer loss rate, equipment aging degree, clean energy ratio, green coverage rate and environmental protection material ratio corresponding to each substation to the evaluation index set; The comprehensive weight generation module is used to analyze the mutual influence relationship between each evaluation indicator in the evaluation indicator set and generate the correlation weight of each evaluation indicator; calculate the entropy value of each evaluation indicator in the evaluation indicator set and generate the dispersion weight of each evaluation indicator; generate the comprehensive weight of each evaluation indicator based on the correlation weight and the dispersion weight; The low-carbon level assessment module is used to calculate and generate a comprehensive low-carbon level value of the substation to be assessed in the substation area based on the comprehensive weight and the assessment index set; and to generate a low-carbon level assessment result of the substation to be assessed in the substation area based on the comprehensive low-carbon level value and the preset low-carbon level classification standard.

[0014] Based on the above method embodiment, the present invention provides a corresponding electronic device embodiment.

[0015] An embodiment of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and runnable on the processor. When the processor executes the computer program, it can implement the substation low-carbon level assessment method considering the multi-dimensional indicator space as described in any one of the above-mentioned method embodiments.

[0016] Based on the above method embodiment, the present invention provides a corresponding storage medium embodiment.

[0017] An embodiment of the present invention provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for evaluating the low-carbon level of a substation considering a multi-dimensional indicator space as described in any one of the above method embodiments can be implemented.

[0018] Compared with the prior art, the present invention has the following beneficial effects: The embodiments of the present invention provide a method, device, electronic device, and storage medium for evaluating the low-carbon level of a substation that considers a multi-dimensional indicator space. The method collects data such as investment costs, gas emissions, equipment operation, energy structure, land use, and material usage for all substations in a substation area; generates unit cost carbon emissions, transformer loss rate, equipment aging degree, clean energy ratio, green coverage rate, and environmentally friendly material ratio to form an evaluation index set; analyzes the influence relationship between indicators, calculates correlation weights and dispersion weights, and then obtains comprehensive weights; finally, based on the comprehensive weights and indicator values, calculates the comprehensive low-carbon level values ​​of the substations to be evaluated in the substation area, and outputs the low-carbon level evaluation results according to preset standards.

[0019] This approach addresses the inability of existing assessment methods to accurately quantify the coupling relationships between multiple factors by incorporating multi-dimensional data, such as investment costs, gas emissions, equipment operating parameters, and energy mix. By analyzing the interplay between various assessment indicators and generating correlation and dispersion weights, it comprehensively reflects the actual low-carbon status of substations, thereby improving the accuracy and reliability of assessment results. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 The present invention provides a flowchart of a method for evaluating the low-carbon level of a substation taking into account a multi-dimensional indicator space, provided by an embodiment of the present invention.

[0021] Figure 2 This is a structural diagram of a substation low-carbon level assessment device considering a multi-dimensional indicator space, provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0023] like Figure 1 As shown, in order to solve the problem in the prior art that the multi-factor coupling relationship cannot be accurately quantified in the low-carbon level assessment of substations, an embodiment of the present invention provides a low-carbon level assessment method for substations considering a multi-dimensional indicator space, which includes at least the following steps: Step S1: Obtain investment cost data, gas emission data, equipment operating parameters, energy structure data, land use data, and construction material usage data for all substations in the substation area; In the specific implementation of the present invention, the first step of the evaluation method is to comprehensively and systematically obtain multi-dimensional basic data of all substations in the substation area, wherein all substations in the substation area include a substation to be evaluated.

[0024] The multi-dimensional basic data are the cornerstone of the subsequent scientific assessment of low-carbon levels. They can be divided into the following categories, each of which contains key parameters for the calculation of subsequent specific indicators: First, for each substation, corresponding investment cost data must be obtained to fully understand the economic investment associated with current substation construction. This data needs to cover the detailed expenses that make up the total construction cost of the current substation, including: the current substation construction cost; the installation and commissioning costs and system integration costs of various equipment within the current substation; the purchase costs of the current substation's core power equipment and auxiliary equipment; the basic reserve fund reserved to cope with the uncertainty during the current substation construction process; various miscellaneous expenses that may be incurred during the current substation construction (such as temporary facilities, office expenses, etc.); and the current substation's variable costs that need to be considered under specific conditions, such as the price difference reserve fund set aside to hedge the risk of material price fluctuations and the loan interest incurred during the construction period.

[0025] Specifically, the construction costs of any substation include those related to the main production functions, the construction costs of auxiliary production facilities, and individual costs closely related to the site conditions, such as land development and site leveling fees, infrastructure access fees, etc.; the installation and commissioning costs of various equipment and system integration costs include the costs required for equipment installation, commissioning and system connection; the purchase costs of the substation's core power equipment and auxiliary equipment mainly include the purchase costs of the core equipment and accessories used to build the substation; Second, for each substation, corresponding gas emissions data must be obtained, primarily to quantify the substation's total carbon emissions over its set lifecycle (e.g., 40 years). This data includes the annual direct emissions of major greenhouse gases during the substation's operation. This data is derived from the equipment's own annual average leakage rate statistics or actual monitoring data, as well as emission records from other direct emission sources. Third, for each substation, equipment operating parameters must be obtained. These parameters are crucial for assessing the substation's energy efficiency and equipment health. This data supports subsequent calculations of transformer loss rates and equipment aging.

[0026] For the transformers in each substation, it is necessary to obtain the rated load active power loss, no-load active power loss and the maximum load-side current allowed by the design from their nameplate parameters; at the same time, it is also necessary to record their actual operating data within a specific evaluation period, such as the effective value of the load-side current, the average voltage on the power supply side, the total electric energy input on the primary side, the total operating time of the evaluation period, and the rated voltage corresponding to the currently operating tap changer.

[0027] For other equipment included in the aging assessment in each substation, it is necessary to obtain the specific number of equipment being assessed and the number of years each equipment (or each type of equipment) has been in operation.

[0028] Next, for each substation, corresponding energy structure data must be obtained. The purpose of obtaining this energy structure data is to clarify the sources of energy consumption at the substation and the degree of cleanliness, so as to calculate the proportion of clean energy. The required data specifically includes: the input power provided to the substation by renewable energy generation systems such as photovoltaic power generation systems deployed within the substation during the assessment period; the total power input from the upstream power grid during the same period; and a parameter used to characterize the cleanliness level of the upstream power grid, namely the proportion of clean energy in the upstream power grid's power generation.

[0029] Then, for each substation, corresponding land use data must be obtained. This land use data is primarily used to assess the substation's land resource utilization efficiency and ecological contribution, particularly to calculate the green coverage rate. This requires obtaining the actual total green land area within the substation site and the total land area within the substation's planned red line.

[0030] Finally, for each substation, construction material usage data must be obtained. This data focuses on the environmental impact of material resource consumption during substation construction or major renovations, and is used to calculate the proportion of environmentally friendly materials. This data should include: the total amount of various building materials used during substation construction that are certified as environmentally friendly according to specific standards (such as renewable materials and low-carbon certified materials); and the total amount of all construction materials used during the same period.

[0031] By systematically acquiring and integrating detailed data from the six aspects mentioned above, we not only ensure the parameter source for the calculation of various subsequent evaluation indicators, but also provide solid and reliable data support for building a multi-dimensional and comprehensive substation low-carbon level assessment system.

[0032] Step S2: Generate the unit cost carbon emissions corresponding to each substation based on the investment cost data and the gas emission data; In a preferred embodiment, for the i-th substation, the unit cost carbon emissions are calculated using the following formula: Z 11，i =Z carbon，i / Z cost，i Among them, Z 11，i is the unit cost carbon emission of the i-th substation; Z carbon，i is the carbon emissions of the ith substation in its entire life cycle. The present invention can calculate the substation life cycle as 40 years; Z cost，iis the construction cost of the i-th substation.

[0033] After completing the comprehensive collection of substation investment cost data and gas emission data, this evaluation method then uses this data to generate a key comprehensive indicator of economic and environmental benefits, namely, unit cost carbon emissions. The core of this step is to correlate the total carbon emissions generated by the substation throughout its entire preset life cycle (for example, set as 40 years in this invention) with the total construction cost of the substation. By calculating the unit cost carbon emissions, it is possible to effectively measure the carbon emission level corresponding to the substation's construction investment, providing an intuitive and quantifiable evaluation basis for evaluating its low-carbon economic benefits.

[0034] In one embodiment, the construction cost Z of any substation is cost，i It is the sum of the construction costs of the substation, the installation and commissioning costs of various equipment and system integration costs, the purchase costs of the substation's core power equipment and auxiliary equipment, the basic reserve funds reserved to deal with uncertainties in the construction process, various miscellaneous expenses that may occur during the construction period (such as temporary facilities, office expenses, etc.), and variable costs that need to be considered under specific conditions.

[0035] Step S3: Generate the transformer loss rate and equipment aging degree corresponding to each substation according to the equipment operating parameters; After obtaining and organizing the equipment operating parameters of each substation, this evaluation method further uses these parameters to quantitatively evaluate the operating efficiency and overall health of key substation equipment. Specifically, it generates two core indicators corresponding to each substation: transformer loss rate and equipment aging degree.

[0036] For each substation transformer, a key energy-consuming device, the transformer loss rate is calculated by analyzing its specific operating parameters. This loss rate directly reflects the energy loss of the transformer during actual operation and is an important indicator for measuring its energy conversion efficiency. The specific calculation process is as follows: First, the power loss of the transformer under no-load and load conditions is calculated respectively, and then the total loss rate is calculated. For the i-th substation, its transformer loss rate is calculated by the following formula group: Among them, Z 21，i is the transformer loss rate of the i-th substation; ΔA 0，i is the power loss of the transformer of the i-th substation in the no-load state during the evaluation period; ΔA R，i is the power loss of the transformer of the i-th substation under load during the evaluation period; P 1，i is the total primary side input power of the transformer of the i-th substation during the evaluation period; RK，i is the active power loss under rated load given on the transformer nameplate of the i-th substation; I rms，i is the actual effective value of the load-side current of the transformer at the i-th substation during the evaluation period; I N，i The maximum load-side current allowed by the transformer design of the i-th substation; T i is the cumulative operating time of the transformer of the i-th substation during the evaluation period; P 0，i is the active power loss in the no-load state given on the transformer nameplate of the i-th substation; U av，i is the average voltage on the power supply side (primary side) of the transformer at the i-th substation during the evaluation period; U tap，i is the rated voltage corresponding to the tap changer operated by the transformer of the i-th substation during the evaluation period.

[0037] To assess the overall aging of key equipment within each substation, this method also calculates the aging level of each substation's equipment based on its operating parameters. The aging level reflects the performance degradation or nearing the end of the equipment's lifespan due to long-term operation, and is crucial for predicting equipment reliability, developing maintenance and update plans, and assessing its ability to maintain efficient operation. In a preferred embodiment, the aging level of the equipment at the i-th substation is calculated using the following formula: Among them, Z 22，i is the aging degree of equipment in the i-th substation; n e，i is the total number of equipment included in the evaluation scope in the i-th substation; Y k，i is the number of years that the kth device in the i-th substation has been in operation, and L is the set standard operating life of the equipment. In one embodiment of the present invention, the operating life of the equipment can be uniformly set to 80 years.

[0038] The transformer loss rate and equipment aging degree corresponding to each substation generated by the above calculation can provide key technical performance representation for the comprehensive evaluation of the substation's low-carbon level from two important dimensions: energy utilization efficiency and equipment sustainable operation capability.

[0039] Step S4: Generate the clean energy ratio corresponding to each substation based on the energy structure data; generate the green coverage rate corresponding to each substation based on the land use data; and generate the environmentally friendly material ratio corresponding to each substation based on the construction material usage data; After collecting and organizing basic data on each substation, particularly its energy mix, land use, and construction material usage, this assessment methodology further processes this data to generate a series of key indicators that directly reflect each substation's environmental friendliness. These indicators, including the proportion of clean energy, green coverage, and the proportion of environmentally friendly materials, quantify the substation's low-carbon practices from the perspectives of energy sources, ecological impact, and material resource utilization.

[0040] Specifically, the clean energy percentage of the i-th substation is first calculated based on the "energy structure data" obtained from the i-th substation. This indicator is intended to measure the substation's reliance on and utilization of clean and renewable energy in its energy consumption. In a preferred embodiment, the clean energy percentage of the i-th substation can be calculated using the following formula: Among them, Z 31，i is the proportion of clean energy in the i-th substation; P PV，i is the input power of the photovoltaic power generation system in the i-th substation during the evaluation period; α i is the actual proportion of clean energy in the upper grid power generation supplied to the i-th substation; P G，i is the total electric energy input from the upper power grid to the ith substation during the evaluation period; Next, based on the "land use data" of the i-th substation, the green coverage rate of the i-th substation is calculated. This indicator is used to evaluate the substation's contribution to the ecological environment construction and improvement within its area, reflecting the level of ecological utilization of land resources. In a preferred embodiment, the green coverage rate of the i-th substation can be calculated using the following formula: Z 32,i =S G,i / S i ×100% Among them, Z 32,i is the green coverage rate of the i-th substation; S G，i is the land area actually used for greening (such as lawns, shrubs, trees, etc.) within the i-th substation area; S i is the total land area of ​​the i-th substation.

[0041] Next, based on the "construction material usage data" of the i-th substation, the proportion of environmentally friendly materials in the i-th substation is calculated and generated. This indicator is intended to assess the extent to which environmentally friendly, low-carbon, or renewable materials are selected and applied during the construction or major renovation of the substation. In a preferred embodiment, the proportion of environmentally friendly materials in the i-th substation can be calculated using the following formula: Z 33,i =M re,i / Mi ×100% Among them, Z 33,i is the proportion of environmentally friendly materials in the i-th substation; M re，i M is the total quantity of various environmentally friendly materials actually used in the construction of the i-th substation that meet specific environmental standards (for example, renewable materials, recycled materials, low-volatile organic compound materials, materials with environmental certification, etc.) (for example, they can be counted by a unified caliber such as weight or volume); i is the total quantity of all materials used in the construction of the i-th substation.

[0042] By calculating and generating the three specific indicators of the proportion of clean energy, green coverage, and proportion of environmentally friendly materials for each substation, we can effectively quantify the environmental carrying capacity and low-carbon development level of each substation from multiple key aspects such as the cleanliness of energy consumption, the ecological environment quality of the plant area, and the sustainability of construction resources.

[0043] Step S5: adding the unit cost carbon emissions, transformer loss rate, equipment aging degree, clean energy ratio, green coverage ratio, and environmentally friendly material ratio corresponding to each substation to the evaluation indicator set; After calculating the corresponding quantitative values ​​for each substation, including carbon emissions per unit cost, transformer loss rate, equipment aging, clean energy share, green coverage, and environmentally friendly material proportion, reflecting different aspects of the substation's low-carbon characteristics, this assessment method then integrates these generated specific indicators into a multi-dimensional evaluation indicator set. This evaluation indicator set contains complete data on these six indicators for all substations in the substation area.

[0044] This set of evaluation indicators systematically integrates the results of previous steps. Specifically, it includes: "Carbon Emissions Per Unit Cost," reflecting the carbon emission benefits of each substation relative to its economic investment; "Transformer Loss Rate," which characterizes the energy conversion efficiency of key equipment; "Equipment Aging," reflecting the long-term health and sustainability of equipment; "Clean Energy Share," which measures the cleanliness of energy consumption sources; "Green Coverage," which assesses the ecological contribution of station land; and "Environmentally Friendly Materials Share," which reveals the sustainability of material resources during construction and renovation. By incorporating these six core indicators into a unified evaluation framework, subsequent assessments ensure a comprehensive assessment of a substation's low-carbon status across multiple key dimensions, including economic benefits, energy efficiency, equipment status, energy structure, ecological impact, and material resources.

[0045] The construction of such a comprehensive set of evaluation indicators lays a structured and systematic foundation for the subsequent analysis of the mutual influence relationship between various indicators, the determination of weights, and ultimately the scientific calculation and objective evaluation of the comprehensive low-carbon level of the substation to be evaluated.

[0046] Step S6: Analyze the mutual influence relationship between each evaluation indicator in the evaluation indicator set to generate a correlation weight of each evaluation indicator; calculate the entropy value of each evaluation indicator in the evaluation indicator set to generate a dispersion weight of each evaluation indicator; and generate a comprehensive weight of each evaluation indicator based on the correlation weight and the dispersion weight; After constructing an evaluation indicator set encompassing all substation indicators, a key step in this evaluation method is to scientifically determine the weights of these indicators to reflect their relative importance in the comprehensive evaluation. This process involves calculating the correlation and dispersion weights for each indicator separately, and then generating the final comprehensive weights based on this. These weights are derived based on an analysis of the entire evaluation indicator set, thus providing a broader range of objectivity and representativeness.

[0047] First, in order to reflect the mutual influence and dependence between the six evaluation indicators included in the evaluation indicator set of the present invention, namely "carbon emissions per unit cost" (which can be recorded as I1), "transformer loss rate" (I2), "equipment aging degree" (I3), "clean energy proportion" (I4), "green coverage rate" (I5) and "environmentally friendly material proportion" (I6), and quantify this influence, this method generates the correlation weights of each of the six evaluation indicators through the following steps.

[0048] Step S6.1, construct an initial direct impact matrix based on the evaluation indicator set; Domain experts (e.g., experts familiar with substation low-carbon assessment) will judge the direct impact between each of the six evaluation indicators (I1 to I6) in the evaluation indicator set. Usually, a certain scale (e.g., 0 means no impact, 1 means small impact, 2 means medium impact, 3 means large impact, 4 means very large impact) is used to quantify the indicator I. j For indicator I l The direct impact of jl (where j represents the influencing indicator and l represents the affected indicator, j, l∈{1,...,n}). For the indicator itself, its influence on itself is usually set to 0, i.e., z jj = 0. This constitutes an n×n (ie 6×6) initial direct influence matrix Z = [z jl ].

[0049] Step S6.2, normalizing the initial direct impact matrix to generate a normalized direct impact matrix; In order to make the impact of different indicators comparable and ensure the convergence of subsequent calculations, it is necessary to normalize the initial direct impact matrix Z to obtain the normalized direct impact matrix X = [x jl ]: Among them, x jl is the element in the normalized direct influence matrix X, representing the normalized direct influence intensity of the jth evaluation indicator on the lth evaluation indicator; s norm is the normalization factor, which is usually taken as the maximum value of the sum of the elements in each row of the matrix Z, that is: Where n is the total number of evaluation indicators; After normalization, all element values ​​of the matrix X are in the interval [0, 1) (diagonal elements are 0).

[0050] Step S6.3: Based on the normalized direct influence matrix X, calculate the influence and the influence of each evaluation indicator.

[0051] Specifically, the direct impact of the j-th evaluation indicator is calculated using the following formula: Among them, D j is the direct influence of the jth evaluation indicator; x jl is the element in the normalized direct influence matrix X, representing the normalized direct influence intensity of the jth evaluation indicator on the lth evaluation indicator; The influence degree of the jth evaluation indicator is calculated using the following formula: Among them, R j is the influence degree of the jth evaluation index; x lj is the element in the normalized direct influence matrix X, representing the normalized direct influence intensity of the lth evaluation indicator on the jth evaluation indicator; Step S6.4: Calculate the centrality and causality of each evaluation indicator based on its direct influence and influenced degree.

[0052] For each evaluation indicator, the sum of the direct influence and the influenced degree of the current evaluation indicator is taken as the corresponding centrality; the difference between the direct influence and the influenced degree of the current evaluation indicator is taken as the corresponding cause degree.

[0053] Step S6.5: Calculate the correlation weight of each evaluation indicator based on the centrality and causality of each evaluation indicator.

[0054] The correlation weight of the jth evaluation indicator is calculated by the following formula: in, is the correlation weight of the jth evaluation index; D p is the direct influence of the pth evaluation indicator; Rp is the influence degree of the p-th evaluation indicator.

[0055] Secondly, in order to objectively reflect the differences in the data distribution of each evaluation indicator and the amount of information it can provide, this method calculates the entropy value of each evaluation indicator in the evaluation indicator set and generates the dispersion weight of each evaluation indicator based on this. The evaluation indicator set here includes the corresponding indicator values ​​from all substations in the substation area, so that the entropy weight method can effectively calculate based on multi-sample data. This process generally follows the principles of the entropy weight method. Specifically, it includes: Step S6.6: normalize each evaluation indicator value in the evaluation indicator set to generate each standardized evaluation indicator value; Because the various indicators in the evaluation index set may have different units, orders of magnitude, or properties (for example, some indicators are considered benefit-oriented if the value is larger, while others are considered cost-oriented if the value is smaller), directly using the raw data for calculations may result in distorted results. Therefore, before calculating the entropy value, the raw indicator data must be standardized and converted into a uniform and comparable dimensionless value, usually mapped to a certain interval (such as [0,1]).

[0056] In the specific implementation of the present invention, the six core indicators in the evaluation indicator set will first be judged for their attributes: "Carbon emissions per unit cost", the lower the value, the less carbon emissions per unit investment and the better the benefits, so it is usually regarded as a cost-type indicator.

[0057] The lower the value of "transformer loss rate", the less energy loss and the higher the efficiency, so it is usually regarded as a cost-based indicator.

[0058] "Degree of equipment aging": the lower the value, the better the equipment condition and the stronger its sustainability, so it is usually regarded as a cost-based indicator.

[0059] "Clean energy share", the higher the value, the cleaner the energy structure, so it is usually regarded as a benefit indicator.

[0060] "Green coverage rate", the higher the value, the greater the ecological contribution, so it is usually regarded as a benefit indicator.

[0061] "Proportion of environmentally friendly materials". The higher the value, the more environmentally friendly the materials used, so it is usually regarded as a benefit indicator.

[0062] According to the above index attributes, the original value (evaluation index value) x of each evaluation index (assuming there are m in total, i.e., i = 1, 2, ..., m) of each substation (assuming there are n in total, i.e., j = 1, 2, ..., n) is ij Apply the corresponding standardization formula to obtain the standardized index value

[0063] For benefit-based indicators, standardization is performed using the following formula: in, is the standardized value of the i-th substation under the j-th evaluation index; min i (x ij ) is the minimum value of the j-th indicator among all m substations; max i (x ij ) is the maximum value of the jth indicator among all m substations; For cost-based indicators, standardization is performed using the following formula: When applying the above formula, in order to avoid the denominator being zero (when a certain indicator has the same value in all substations) or the logarithm being meaningless in subsequent calculations, the standardized results can be fine-tuned, for example, to ensure that all are all in the interval (0,1], or when the denominator is zero, let all Takes a specific value (such as 1).

[0064] Step S6.7: Generate the index value proportion of each evaluation index value under the corresponding evaluation index based on each standardized evaluation index value.

[0065] Based on the normalized data in step S6.6 Calculate the proportion p of the value of the i-th substation on the j-th evaluation index to the sum of the index in all m substations ij : Among them, p ij is the weight of the index value of the i-th substation under the j-th evaluation index. m is the number of substations; Step S6.8, calculate the entropy value of each evaluation indicator according to the proportion of the evaluation indicator value under the corresponding evaluation indicator; according to the proportion p obtained by the above calculation ij , calculate the entropy value E of the j-th evaluation indicator j : Among them, E j is the entropy value of the jth evaluation index; to ensure lnp ij Makes sense, usually requires lnp ij > 0. If the calculated p ij = 0, then define p when summing ij lnp ij = 0. Entropy value E jIt reflects the degree of dispersion of the j-th evaluation indicator in the data of m substations. The larger the entropy value, the less information the indicator provides and the weaker the discrimination ability.

[0066] Step S6.9: Calculate the dispersion weight of each evaluation indicator based on the entropy value of each evaluation indicator: Specifically, the discrete weight of the j-th evaluation indicator is calculated by the following formula: in, is the discrete weight of the jth evaluation index; the weight is inversely proportional to the entropy value. The smaller the entropy value, the greater the amount of information, and the greater the discrete weight.

[0067] Step S6.10: performing weighted accumulation of the association weights and the dispersion weights of the evaluation indicators to generate a comprehensive weight of the evaluation indicators; The comprehensive weight of the j-th evaluation indicator is calculated by the following formula: in, is the comprehensive weight of the jth evaluation index; is the correlation weight of the jth evaluation indicator; is the discrete weight of the jth evaluation indicator; α is the optimal distribution coefficient of the preset association weight; β is the optimal distribution coefficient of the preset discrete weight.

[0068] Typically, α and β satisfy α+β=1, and α≥0, β≥0. For example, in a specific embodiment, α=0.5, β=0.5 can be preset, or different preset values ​​can be assigned according to the emphasis of the actual application scenario.

[0069] In this way, the association weight and the dispersion weight are combined using the preset optimal allocation coefficient to obtain the comprehensive weight of each evaluation indicator, laying the foundation for the subsequent accurate calculation of the comprehensive low-carbon level of the substation to be evaluated.

[0070] Step S7: Calculate and generate a comprehensive low-carbon level value of the substation to be evaluated in the substation area based on the comprehensive weight and the evaluation index set; generate a low-carbon level evaluation result of the substation to be evaluated in the substation area based on the comprehensive low-carbon level value and the preset low-carbon level classification standard.

[0071] After scientifically determining the combined weights of each evaluation indicator in step S6, the assessment method enters the final evaluation phase, aiming to determine the overall low-carbon level of the substation being evaluated. This phase primarily involves two key steps: first, calculating a quantitative, comprehensive low-carbon level value, and then, based on this value and pre-set standards, providing a qualitative assessment result.

[0072] Specifically, based on the standardized evaluation index values ​​of the substation to be evaluated in step S6.6, the comprehensive low-carbon level value of the substation to be evaluated is obtained by multiplying each standardized evaluation index value of the substation to be evaluated by its corresponding comprehensive weight, and then summing all these products. The specific calculation method is as follows: Among them, S 待评估 is the comprehensive low-carbon level value of the substation to be evaluated in the substation area; is the standardized value of the substation to be evaluated in the substation area on the jth evaluation indicator.

[0073] After calculating the comprehensive low carbon level value S of the substation to be evaluated 待评估 After that, the next step is to generate the final low-carbon level assessment result of the substation to be assessed based on this value and the preset low-carbon level classification standard. The "preset low-carbon level classification standard" is usually a pre-established rating system that divides the possible range of comprehensive low-carbon level values ​​into several levels or categories (for example, "excellent", "good", "average", "needs improvement"). The basis for the division of these levels may come from industry benchmarks, policy requirements, expert experience, or quantiles derived from statistical analysis of a large amount of sample data. By calculating the S 待评估 By comparing with the threshold ranges of these preset levels, the low-carbon level category of the substation to be assessed can be determined, thus forming a final qualitative assessment conclusion that is easy to understand and apply.

[0074] Through the above steps, this evaluation method can transform complex multi-dimensional indicator information into clear numerical measurements and clear grade assessments of the substation’s low-carbon performance, providing a scientific, intuitive, and operational basis for subsequent low-carbon improvements, management decisions, and performance comparisons.

[0075] In another specific embodiment of the present invention, the method adjusts the operating control parameters of the energy management system (EMS) based on the comprehensive low-carbon level value of the substation to be evaluated, with the aim of continuously improving the low-carbon performance of the substation to be evaluated, particularly by optimizing the energy share to achieve a reduction in carbon levels, specifically: When the comprehensive low-carbon level value is lower than the preset target threshold, a carbon level adjustment instruction containing several parameter adjustment values ​​is sent to the energy management system (EMS), so that after receiving the carbon level adjustment instruction, the energy management system (EMS) adjusts the minimum discharge starting state of charge limit of the energy storage system and the minimum output guarantee for the local renewable energy power generation unit to consume electricity on site in priority according to the several parameter adjustment values.

[0076] Specifically, by moderately lowering the minimum discharge startup state of charge limit of the energy storage system while meeting basic emergency backup needs, more stored clean electricity can be released to replace high-carbon emission grid input, thereby directly reducing total carbon emissions; appropriately increasing the minimum output guarantee for the priority absorption of local renewable energy can forcibly increase the proportion of direct clean energy consumption within the station, thereby reducing the demand for electricity from the external power grid, and achieving the goal of effectively reducing the overall carbon emission intensity of the substation to be evaluated.

[0077] It's important to note that when the comprehensive low-carbon level of a substation under evaluation is confirmed to be below the preset target threshold through the previous evaluation step, this is considered a clear signal that the substation's current low-carbon operating status requires urgent improvement. A set of precise "parameter adjustment values" designed to improve low-carbon performance is generated. These "parameter adjustment values" are essentially new target values ​​or adjustment instructions for specific operational control parameters within the energy management system (EMS).

[0078] Subsequently, a "carbon level adjustment instruction" containing these specific "parameter adjustment values" will be constructed and sent to the energy management system (EMS) of the substation to be evaluated through a secure communication link. After receiving and successfully verifying the validity and authorization of the instruction, the energy management system (EMS) will strictly update and apply the corresponding internal control logic and parameter set points in accordance with the "several parameter adjustment values" contained in the instruction. This is specifically manifested in that, first, the EMS will adjust the key operating limits of the energy storage system it controls, especially the "minimum discharge starting state of charge (SOC) limit". For example, this limit will be moderately lowered while ensuring basic emergency backup and battery health, so that more pre-stored clean electricity can be released from the energy storage system when needed (such as when the carbon emission intensity of the grid is high).

[0079] At the same time, the Energy Management System (EMS) optimizes the power dispatch strategy for local renewable energy generation units (such as distributed photovoltaic systems) within the substation based on the parameter adjustment values ​​in the instructions. Specifically, this involves adjusting the control parameters related to the "minimum output guarantee for local priority consumption." For example, by increasing the set value of this minimum output guarantee, the system can maximize the direct consumption of locally generated clean energy within the substation, prioritizing the substation's load needs and reducing the demand for power from the external grid, especially during periods of high carbon emission intensity from the external grid.

[0080] By precisely adjusting key parameters for the energy storage system's discharge strategy and renewable energy on-site consumption strategy (i.e., minimum discharge startup SOC limit and minimum output guarantee), executed by the energy management system (EMS), the energy dispatch and utilization of the substation under evaluation will be directly shifted toward maximizing clean energy contribution and reducing reliance on fossil fuels. This parameter optimization based on evaluation feedback can effectively and specifically improve the substation's energy structure, thereby directly reducing its overall carbon emissions and enhancing its low-carbon operational capabilities.

[0081] Based on the above method embodiments, the present invention provides corresponding device embodiments.

[0082] like Figure 2 As shown, an embodiment of the present invention provides a substation low-carbon level assessment device considering a multi-dimensional indicator space, comprising: a substation data acquisition module, a cost-effectiveness indicator generation module, an energy efficiency indicator generation module, an environmental load indicator generation module, an assessment indicator set generation module, a comprehensive weight generation module, and a low-carbon level assessment module; The substation data acquisition module is used to obtain investment cost data, gas emission data, equipment operating parameters, energy structure data, land use data and construction material usage data of all substations in the substation area; The cost-effectiveness index generating module is configured to generate the unit cost carbon emissions corresponding to each substation based on the investment cost data and the gas emission data; The energy efficiency index generation module is used to generate the transformer loss rate and equipment aging degree corresponding to each substation according to the equipment operating parameters; The environmental carrying index generation module is used to generate the clean energy ratio corresponding to each substation based on the energy structure data; generate the green coverage rate corresponding to each substation based on the land use data; and generate the environmentally friendly material ratio corresponding to each substation based on the construction material usage data; The evaluation index set generation module is used to add the unit cost carbon emissions, transformer loss rate, equipment aging degree, clean energy ratio, green coverage rate and environmental protection material ratio corresponding to each substation to the evaluation index set; The comprehensive weight generation module is used to analyze the mutual influence relationship between each evaluation indicator in the evaluation indicator set and generate the correlation weight of each evaluation indicator; calculate the entropy value of each evaluation indicator in the evaluation indicator set and generate the dispersion weight of each evaluation indicator; generate the comprehensive weight of each evaluation indicator based on the correlation weight and the dispersion weight; The low-carbon level assessment module is used to calculate and generate a comprehensive low-carbon level value of the substation to be assessed in the substation area based on the comprehensive weight and the assessment index set; and to generate a low-carbon level assessment result of the substation to be assessed in the substation area based on the comprehensive low-carbon level value and the preset low-carbon level classification standard.

[0083] It should be noted that the embodiment of the device described above corresponds to the above-mentioned embodiment of the present invention, and it can implement any of the above-mentioned methods for assessing the low-carbon level of substations considering the multi-dimensional indicator space described in the present invention. In addition, the embodiment of the above-mentioned device is merely schematic, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. In addition, in the drawings of the embodiment of the device provided by the present invention, the connection relationship between the modules indicates that there is a communication connection between them, which can be specifically implemented as one or more communication buses or signal lines. A person of ordinary skill in the art can understand and implement it without paying any creative work.

[0084] Based on the above method embodiment of the present invention, a corresponding electronic device embodiment is provided.

[0085] An 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. When the processor executes the computer program, the substation low-carbon level assessment method considering a multi-dimensional indicator space as described in any one of the present inventions is implemented, or, when the processor executes the computer program, the functions of the modules in the above-mentioned device embodiments are implemented.

[0086] Exemplarily, the computer program may be divided into one or more modules, which are stored in the memory and executed by the processor to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal device.

[0087] The terminal device may be a computing device such as a desktop computer, a notebook computer, a PDA, a cloud server, etc. The terminal device may include, but is not limited to, a processor and a memory.

[0088] 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. The general-purpose processor may be a microprocessor or any conventional processor, etc. The processor is the control center of the terminal device, connecting various parts of the entire terminal device using various interfaces and lines.

[0089] The memory can be used to store the computer programs and / or modules, and the processor implements various functions of the terminal device by running or executing the computer programs and / or modules 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 based on 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 device.

[0090] Based on the above method embodiment, the present invention provides a corresponding storage medium embodiment; 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 any of the above-mentioned substation low-carbon level assessment methods considering the multi-dimensional indicator space of the present invention.

[0091] The above-mentioned storage medium is a computer-readable storage medium, and the computer program includes computer program code, which may be in source code form, object code form, executable file, or some intermediate form. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal, and software distribution medium, etc. It should be noted that the content contained in the computer-readable medium may be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media do not include electric carrier signals and telecommunication signals.

[0092] In the description of this specification, the reference terms "one embodiment," "some embodiments," "example," "specific example," or "some examples" mean that the specific features, structures, materials, or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials, or characteristics described may be combined in any appropriate manner in any one or more embodiments or examples. In addition, those skilled in the art may combine and integrate different embodiments or examples described in this specification, as well as features of different embodiments or examples, unless they are mutually inconsistent.

[0093] The above is a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A method for evaluating the low carbon level of a substation considering a multi-dimensional indicator space, characterized in that: include: Obtain investment cost data, gas emission data, equipment operating parameters, energy structure data, land use data, and construction material usage data for all substations in the area; generating unit cost carbon emissions corresponding to each substation based on the investment cost data and the gas emission data; Generate the transformer loss rate and equipment aging degree corresponding to each substation based on the equipment operating parameters; According to the energy structure data, generate the clean energy proportion corresponding to each substation; Generating a green coverage rate corresponding to each substation according to the land use data; Based on the construction material usage data, generate the corresponding environmentally friendly material ratio of each substation; The unit cost carbon emissions, transformer loss rate, equipment aging degree, clean energy ratio, green coverage rate, and environmentally friendly material ratio of each substation are added to the evaluation indicator set; Analyze the mutual influence relationship between each evaluation indicator in the evaluation indicator set and generate the correlation weight of each evaluation indicator; Calculating the entropy value of each evaluation indicator in the evaluation indicator set to generate a dispersion weight of each evaluation indicator; generating a comprehensive weight of each evaluation indicator based on the correlation weight and the dispersion weight; Based on the comprehensive weight and the evaluation index set, the comprehensive low-carbon level value of the substation to be evaluated in the substation area is calculated and generated; based on the comprehensive low-carbon level value and the preset low-carbon level classification standard, the low-carbon level evaluation result of the substation to be evaluated in the substation area is generated.

2. The method for evaluating the low-carbon level of a substation considering a multi-dimensional indicator space according to claim 1, characterized in that: The analysis of the mutual influence relationship between each evaluation indicator in the evaluation indicator set and the generation of the correlation weight of each evaluation indicator include: Based on the set of evaluation indicators, an initial direct impact matrix is ​​constructed; Normalizing the initial direct impact matrix to generate a normalized direct impact matrix; Based on the normalized direct impact matrix, calculate the influence and impact of each evaluation indicator; According to the direct influence and influence of each evaluation indicator, the centrality and causal degree of each evaluation indicator are calculated; According to the centrality and causality of each evaluation indicator, the correlation weight of each evaluation indicator is calculated; Among them, the direct influence of the j-th evaluation indicator is calculated by the following formula: Where D j is the direct influence of the jth evaluation indicator; x jl is the element in the normalized direct influence matrix X, representing the normalized direct influence intensity of the jth evaluation indicator on the lth evaluation indicator; n is the total number of evaluation indicators; The influence of the j-th evaluation indicator is calculated using the following formula: Where R j is the influence degree of the jth evaluation index; x ij is the element in the normalized direct influence matrix X, representing the normalized direct influence intensity of the lth evaluation indicator on the jth evaluation indicator.

3. The method for evaluating the low-carbon level of a substation considering a multi-dimensional indicator space according to claim 2, characterized in that: The step of calculating the entropy value of each evaluation indicator in the evaluation indicator set and generating the dispersion weight of each evaluation indicator includes: Normalizing each evaluation indicator value in the evaluation indicator set to generate each standardized evaluation indicator value; According to each standardized evaluation index value, the index value proportion of each evaluation index value under the corresponding evaluation index is generated; Calculate the entropy value of each evaluation indicator according to the proportion of each evaluation indicator value under the corresponding evaluation indicator; According to the entropy value of each evaluation indicator, the dispersion weight of each evaluation indicator is calculated; Among them, the entropy value E of the j-th evaluation indicator is calculated by the following formula j : Where, E j is the entropy value of the jth evaluation index; m is the number of all substations in the substation area; p ij is the proportion of the index value of the i-th substation under the j-th evaluation index; The dispersion weight of the j-th evaluation indicator is calculated by the following formula: in, is the discrete weight of the j-th evaluation indicator.

4. The method for evaluating the low-carbon level of a substation considering a multi-dimensional indicator space according to claim 3, characterized in that: The comprehensive weight of the j-th evaluation indicator is generated by the following formula: in, is the comprehensive weight of the jth evaluation index; is the correlation weight of the jth evaluation indicator; is the discrete weight of the jth evaluation indicator; α is the optimal distribution coefficient of the preset association weight; β is the optimal distribution coefficient of the preset discrete weight.

5. The method for evaluating the low-carbon level of a substation considering a multi-dimensional indicator space according to claim 4, characterized in that: The comprehensive low-carbon level value of the substation to be evaluated in the substation area is calculated using the following formula: Among them, S 待评估 is the comprehensive low-carbon level value of the substation to be evaluated in the substation area; is the standardized value of the substation to be evaluated in the substation area on the jth evaluation indicator.

6. The method for evaluating the low-carbon level of a substation considering a multi-dimensional indicator space according to claim 5, characterized in that: The transformer loss rate of the i-th substation is calculated by the following formula: Among them, Z 21，i is the transformer loss rate of the i-th substation; ΔA 0，i is the power loss of the transformer of the i-th substation in the no-load state during the evaluation period; ΔA R，i is the power loss of the transformer of the i-th substation under load during the evaluation period; P 1，i is the total primary side input power of the transformer of the i-th substation during the evaluation period; P K，i is the active power loss under rated load given on the transformer nameplate of the i-th substation; I rms，i is the actual effective value of the load-side current of the transformer at the i-th substation during the evaluation period; I N，i The maximum load-side current allowed by the transformer design of the i-th substation; T i is the cumulative operating time of the transformer of the i-th substation during the evaluation period; P 0,i is the active power loss in the no-load state given on the transformer nameplate of the i-th substation; U av，i is the average voltage on the power supply side of the transformer at the i-th substation during the evaluation period; U tap,i is the rated voltage corresponding to the tap changer operated by the transformer of the i-th substation during the evaluation period.

7. The method for evaluating the low carbon level of a substation considering a multi-dimensional indicator space according to claim 6, characterized in that: The aging degree of equipment in the i-th substation is calculated using the following formula: Among them, Z 22,i is the aging degree of equipment in the i-th substation; n e,i is the total number of equipment included in the evaluation scope in the i-th substation; Y k，i is the number of years that the kth equipment in the i-th substation has been in operation, and L is the set standard operating life of the equipment.

8. A substation low-carbon level assessment device considering multi-dimensional indicator space, characterized in that: include: Substation data acquisition module, cost-benefit index generation module, energy efficiency index generation module, environmental load index generation module, evaluation index set generation module, comprehensive weight generation module and low-carbon level assessment module; The substation data acquisition module is used to obtain investment cost data, gas emission data, equipment operating parameters, energy structure data, land use data and construction material usage data of all substations in the substation area; The cost-effectiveness index generating module is configured to generate the unit cost carbon emissions corresponding to each substation based on the investment cost data and the gas emission data; The energy efficiency index generation module is used to generate the transformer loss rate and equipment aging degree corresponding to each substation according to the equipment operating parameters; The environmental carrying index generation module is used to generate the clean energy ratio corresponding to each substation based on the energy structure data; and generate the green coverage rate corresponding to each substation based on the land use data; Based on the construction material usage data, generate the corresponding environmentally friendly material ratio of each substation; The evaluation index set generation module is used to add the unit cost carbon emissions, transformer loss rate, equipment aging degree, clean energy ratio, green coverage rate and environmental protection material ratio corresponding to each substation to the evaluation index set; The comprehensive weight generation module is used to analyze the mutual influence relationship between each evaluation indicator in the evaluation indicator set and generate the correlation weight of each evaluation indicator; Calculate the entropy value of each evaluation indicator in the evaluation indicator set and generate the discrete weight of each evaluation indicator; Generating a comprehensive weight of each evaluation indicator according to the association weight and the dispersion weight; The low-carbon level assessment module is used to calculate and generate a comprehensive low-carbon level value of the substation to be assessed in the substation area based on the comprehensive weight and the assessment index set; and to generate a low-carbon level assessment result of the substation to be assessed in the substation area based on the comprehensive low-carbon level value and the preset low-carbon level classification standard.

9. An electronic device, characterized in that: It includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, it implements the substation low-carbon level assessment method considering the multi-dimensional indicator space as described in any one of claims 1 to 7.

10. A storage medium, 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 substation low-carbon level assessment method considering the multi-dimensional indicator space as described in any one of claims 1 to 7.

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