Dynamic and static combined evaluation method for operating efficiency of power grid enterprise

Abstract

The invention discloses a dynamic and static combined evaluation method and device for the operating efficiency of a power grid enterprise. The method comprises the following steps: constructing a power grid enterprise operating efficiency evaluation index system; constructing a power grid enterprise operation efficiency static evaluation model based on the power grid enterprise operation efficiency evaluation index system; the static evaluation model is a power grid enterprise total factor production efficiency static evaluation model based on a DEA-BCC model; calculating a comprehensive technical efficiency value of each decision-making unit in a certain period through a static evaluation model, and reflecting the resource utilization efficiency of a power grid enterprise in a given period; based on the power grid enterprise operation efficiency evaluation index system, constructing a power grid enterprise operation efficiency dynamic evaluation model; the dynamic evaluation model is a power grid enterprise total factor production efficiency dynamic evaluation model based on a Malmquist index, and the dynamic evaluation model measures the dynamic change of the power grid enterprise total factor production efficiency; the method can make up the defects of current research, and provides reference for the operation decision of a power grid enterprise.

Description

Technical Field

[0001] This invention belongs to the field of power grid enterprise production efficiency evaluation methods, and particularly relates to a dynamic and static combined evaluation method for power grid enterprise operating efficiency. Background Technology

[0002] The power industry, characterized by high carbon emissions, is a major force in carbon reduction. The total factor productivity (TFP) of power grid companies not only directly impacts their own sustainable development and market competitiveness but also profoundly affects the convenience of electricity access and quality of life for residents in their regions. Therefore, a comprehensive and objective evaluation of the TFP of power grid companies is not only helpful for optimizing management and improving service levels but also of significant practical importance for ensuring regional power supply security and promoting stable economic and social development.

[0003] The total factor productivity (TFP) of power grid enterprises has long been a focus of academic and industrial attention. However, current evaluation techniques do not comprehensively consider factors such as scale, low carbon emissions, and innovation when evaluating the TFP of power grid enterprises. Furthermore, current evaluation techniques primarily utilize static evaluations of the TFP of power grid enterprises, such as the DEA-BCC model, and lack relevant technologies for dynamic evaluation of the TFP of power grid enterprises.

[0004] To address the aforementioned issues and to resolve the lack of content in existing evaluation technologies that combine static and dynamic assessments of the operational efficiency of power grid enterprises, this invention proposes a method for evaluating the operational efficiency of power grid enterprises by comprehensively considering dimensions such as scale, low carbon emissions, and innovation. Summary of the Invention

[0005] The present invention adopts the following technical solution:

[0006] A dynamic and static combined evaluation method for the operating efficiency of power grid enterprises, the method includes the following steps:

[0007] Construct an evaluation index system for the operating efficiency of power grid enterprises; wherein, the evaluation index system for the operating efficiency of power grid enterprises includes: input indicators and output indicators for the operating efficiency of power grid enterprises.

[0008] A static evaluation model for the operating efficiency of power grid enterprises is constructed based on the evaluation index system for power grid enterprise operating efficiency. The static evaluation model is a static evaluation model for the total factor productivity of power grid enterprises based on the DEA-BCC model. The comprehensive technical efficiency value of each decision unit (DMU) in a certain period is calculated through the static evaluation model to reflect the resource utilization efficiency of the power grid enterprise in a given period.

[0009] Based on the evaluation index system for the operating efficiency of power grid enterprises, a dynamic evaluation model for the operating efficiency of power grid enterprises is constructed. The dynamic evaluation model is a dynamic evaluation model for the total factor productivity of power grid enterprises based on the Malmquist index. The dynamic evaluation model measures the dynamic changes in the total factor productivity of power grid enterprises from period t to t+1.

[0010] Furthermore, the method for constructing a static evaluation model for the operating efficiency of power grid enterprises is as follows:

[0011]

[0012] This model is an input-oriented DEA-BCC model. The objective function is to minimize the input weights, and the constraints ensure that the output is not lower than the actual value. By solving this linear programming problem, the comprehensive technical efficiency value θ of each DMU can be obtained. θ = 1 indicates that the unit is at the efficiency frontier, and θ < 1 indicates that there is room for efficiency improvement. The slack variable S... + S- is used to measure the degree of over-input or under-output;

[0013] The constraints are:

[0014]

[0015] In the formula, k represents the number of DMUs of the evaluated power grid enterprise, and x ik and y rk Let λ represent the quantity of the i-th input factor and the r-th output factor of the k-th power grid enterprise, respectively. k Let ε be a non-Archimedean infinitesimal, representing the weights of the decision variables. and These are slack variables;

[0016] The comprehensive technical efficiency value θ is obtained by solving the above linear programming model, which reflects the distance of the DMU relative to the efficiency frontier.

[0017] Furthermore, the method for constructing a dynamic evaluation model for the operating efficiency of power grid enterprises is as follows:

[0018] The change in technical efficiency EC from period t to period t+1 can be expressed as:

[0019]

[0020] The change in technological progress TC from period t to period t+1 can be expressed as:

[0021]

[0022] Total factor productivity (TFP) is expressed as:

[0023] TFP = EC × TC = PEC × SEC × TC

[0024] Among them, PEC is the pure technical efficiency change, and SEC is the scale efficiency change. Together, they constitute the technical efficiency change EC. The pure technical efficiency change PEC and the scale efficiency change SEC are obtained by decomposing the technical efficiency change.

[0025] In the formula, x t Let y represent the input vector of the power grid company in period t. t Represents the output vector of the power grid enterprise in period t; (x t ,y t ) and (x t+1 ,y t+1 ) represent the input-output relationship in period t and period t+1, respectively.

[0026] Furthermore, the method for measuring the dynamic changes in the total factor productivity of power grid enterprises from period t to t+1 using a dynamic evaluation model is as follows:

[0027] When total factor productivity (TFP) > 1, it indicates that the total factor productivity of the power grid enterprise has improved; when total factor productivity (TFP) < 1, it indicates that the total factor productivity of the power grid enterprise has decreased.

[0028] When the change in technical efficiency EC > 1, it indicates that the technical efficiency of the power grid company has improved; when the change in technical efficiency EC < 1, it indicates that the technical efficiency of the power grid company has decreased.

[0029] When the change in technological progress TC > 1, it indicates that the power grid company's production technology has improved; when the change in technological progress TC < 1, it indicates that the power grid company's production technology is improving slowly.

[0030] Furthermore, the input indicators for evaluating the operating efficiency of power grid enterprises include fixed asset investment, total number of employees, total length of 110 kV and above transmission lines, and total capacity of 110 kV and above transformers.

[0031] Furthermore, the output indicators for evaluating the operating efficiency of power grid companies include electricity sales, line loss rate, clean energy power generation, and the cumulative number of valid invention patents.

[0032] A dynamic and static combined evaluation device for the operating efficiency of power grid enterprises, comprising:

[0033] The evaluation index system construction module is used to construct an evaluation index system for the operating efficiency of power grid enterprises; wherein, the evaluation index system for the operating efficiency of power grid enterprises includes: input indicators and output indicators for the operating efficiency of power grid enterprises.

[0034] The module for constructing a static evaluation model for the operating efficiency of power grid enterprises is used to construct a static evaluation model for the operating efficiency of power grid enterprises based on the evaluation index system for operating efficiency of power grid enterprises; wherein, the static evaluation model is a static evaluation model for the total factor productivity of power grid enterprises based on the DEA-BCC model; the module calculates the comprehensive technical efficiency value of each decision unit (DMU) in a certain period through the static evaluation model, which is used to reflect the resource utilization efficiency of power grid enterprises in a given period;

[0035] The module for constructing a dynamic evaluation model for the operating efficiency of power grid enterprises is used to construct a dynamic evaluation model for the operating efficiency of power grid enterprises based on the evaluation index system for operating efficiency of power grid enterprises. The dynamic evaluation model is a dynamic evaluation model for the total factor productivity of power grid enterprises based on the Malmquist index, which measures the dynamic changes in the total factor productivity of power grid enterprises from period t to t+1.

[0036] A non-transitory computer-readable storage medium storing a computer program that, when executed by a processor, implements a dynamic and static combined evaluation method for the operating efficiency of a power grid enterprise as described above.

[0037] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements a dynamic and static combined evaluation method for the operating efficiency of a power grid enterprise as described above.

[0038] The beneficial technical effects of this invention are as follows:

[0039] Current research is mostly limited to a few regions, with few systematic studies on different provincial regions in my country. Furthermore, it rarely considers the operational efficiency of power grid companies from both static and dynamic dimensions, and lacks comprehensive consideration of factors such as scale, low carbon emissions, and innovation. Therefore, this application comprehensively considers the scale, low carbon emissions, and innovation of power grid companies, employing the DEA-BCC model and the Malmquist index to study the operational efficiency of power grid companies from both static and dynamic dimensions. This approach can fill the gaps in current research and provide a reference for the operational decisions of power grid companies. Attached Figure Description

[0040] Figure 1 This is a flowchart illustrating a dynamic and static combined evaluation method for the operating efficiency of power grid enterprises, provided as an embodiment of the present invention. Detailed Implementation

[0041] The following, with reference to the accompanying drawings, provides a clearer and more complete description of the method and apparatus for evaluating the operating efficiency of power grid enterprises using a combination of dynamic and static methods:

[0042] Example 1

[0043] like Figure 1 As shown in the figure, this embodiment provides a method for evaluating the operating efficiency of power grid enterprises by combining dynamic and static methods. The method includes the following steps:

[0044] S1. Construct an evaluation index system for the operational efficiency of power grid enterprises;

[0045] The power grid enterprise operating efficiency evaluation index system includes: input indicators and output indicators. Input indicators include fixed asset investment, total number of employees, total length of 110 kV and above transmission lines, and total capacity of 110 kV and above transformers. Fixed asset investment and total number of employees reflect the scale of resource investment and human resources, while the length of 110 kV and above transmission lines and total transformer capacity focus on core transmission hardware capabilities, comprehensively reflecting the key resource investment in power grid operation. Output indicators include electricity sales, line loss rate, clean energy power generation, and cumulative number of valid invention patents. Electricity sales reflect core operating results, line loss rate reflects energy transmission efficiency, clean energy power generation aligns with energy transformation guidelines, and cumulative number of valid invention patents measures technological innovation capabilities. This comprehensive index system covers resource investment, operational efficiency, green development, and innovation strength, providing comprehensive support for the scientific evaluation of the total factor productivity of power grid enterprises.

[0046] S2. Construct a static evaluation model for the operating efficiency of power grid enterprises based on the evaluation index system for the operating efficiency of power grid enterprises;

[0047] The static evaluation model is a static evaluation model of total factor productivity of power grid enterprises based on the DEA-BCC model. The static evaluation model calculates the comprehensive technical efficiency value of each decision unit (DMU) in a certain period to reflect the resource utilization efficiency of the power grid enterprise in a given period.

[0048] S3. Based on the power grid enterprise operating efficiency evaluation index system, construct a dynamic evaluation model for power grid enterprise operating efficiency;

[0049] The dynamic evaluation model is a dynamic evaluation model of total factor productivity of power grid enterprises based on the Malmquist index. The dynamic evaluation model measures the dynamic changes in total factor productivity of power grid enterprises from period t to t+1.

[0050] The method for constructing a static evaluation model for the operating efficiency of power grid enterprises is as follows:

[0051]

[0052] This model is an input-oriented DEA-BCC model. The objective function is to minimize the input weights, and the constraints ensure that the output is not lower than the actual value. By solving this linear programming problem, the comprehensive technical efficiency value θ of each DMU can be obtained. θ = 1 indicates that the unit is at the efficiency frontier, and θ < 1 indicates that there is room for efficiency improvement. The slack variable S... + S- is used to measure the degree of over-input or under-output;

[0053]

[0054] In the formula, k represents the number of DMUs (Decision-Making Units) of the evaluated power grid enterprise (in this embodiment, the decision-making units of the evaluated power grid enterprise, i.e., 30 provinces and municipalities) (k = 1, 2, 3, ..., n), x ik and y rk Let x = 1, 2, 3, ..., m; y = 1, 2, 3, ..., g, respectively. θ is the target programming value (i.e., the comprehensive technical efficiency value, obtained by solving the above linear programming model, reflecting the distance of the DMU relative to the efficiency frontier), and λ is the output factor (i.e., ... k Let ε be a non-Archimedean infinitesimal, representing the weights of the decision variables. and These are slack variables.

[0055] The method for constructing a dynamic evaluation model for the operating efficiency of power grid enterprises is as follows:

[0056] The change in technical efficiency EC from period t to period t+1 can be expressed as:

[0057]

[0058] The change in technological progress TC from period t to period t+1 can be expressed as:

[0059]

[0060] Total factor productivity (TFP) is expressed as:

[0061] TFP = EC × TC = PEC × SEC × TC

[0062] Among them, PEC is the change in pure technical efficiency, and SEC is the change in scale efficiency. Together, they constitute the change in technical efficiency EC. The change in pure technical efficiency PEC and the change in scale efficiency SEC are obtained by decomposing the change in technical efficiency.

[0063] In the formula, x tLet y represent the input vector of the power grid company in period t. t Represents the output vector of the power grid enterprise in period t; (x t ,y t ) and (x t+1 ,y t+1 ) represent the input-output relationship in period t and period t+1, respectively.

[0064] The method for measuring the dynamic change of total factor productivity of power grid enterprises from period t to t+1 using a dynamic evaluation model is as follows:

[0065] When total factor productivity (TFP) > 1, it indicates that the total factor productivity of the power grid enterprise has improved; when total factor productivity (TFP) < 1, it indicates that the total factor productivity of the power grid enterprise has decreased.

[0066] When the change in technical efficiency EC > 1, it indicates that the technical efficiency of the power grid company has improved; when the change in technical efficiency EC < 1, it indicates that the technical efficiency of the power grid company has decreased.

[0067] When the change in technological progress TC > 1, it indicates that the power grid company's production technology has improved; when the change in technological progress TC < 1, it indicates that the power grid company's production technology is improving slowly.

[0068] As an example, in this embodiment, the comprehensive technical efficiency value of power grid enterprises in 30 provinces of China from 2018 to 2022 is calculated using the method of this embodiment. The static evaluation results of the operating efficiency of power grid enterprises are shown in the table below:

[0069] Table 1. Static Evaluation Values ​​of Comprehensive Technical Efficiency of Power Grid Enterprises in 30 Provinces of China, 2018-2022

[0070]

[0071]

[0072] As shown in the table, from 2018 to 2022, the static evaluation value of the comprehensive technical efficiency of power grid enterprises in 30 provincial-level regions of China showed a trend of fluctuation with a tendency to stabilize. The national average fluctuated between 0.865 and 0.920, reaching a peak of 0.920 in 2021, and slightly declining to 0.868 in 2022. This indicates that the static value of the comprehensive technical efficiency of power grid enterprises has approached the efficient frontier, but there is still about 10% room for improvement. In terms of annual changes, the static efficiency value increased by 1.9 percentage points in 2019 compared to 2018, declined to 0.865 in 2020, rebounded rapidly to 0.920 in 2021 with economic recovery and increased investment in the power grid, and then fell back to 0.868 in 2022 due to extreme weather, dual control of energy consumption, and high coal prices squeezing the profits of thermal power plants. This shows that power grid enterprises are highly sensitive to the macroeconomic and policy environment.

[0073] The static evaluation described above reflects the relative efficiency level of each power grid company at a certain time cross-section, identifying efficiency levels and areas for improvement; the dynamic evaluation analyzes the trend of efficiency changes over time and the driving factors.

[0074] The dynamic evaluation of the operating efficiency of power grid enterprises was conducted using the method described in this embodiment. The results are shown in Table 2. The table shows that, at the national level, the average dynamic value of total factor productivity (TFP) for power grid enterprises from 2018 to 2022 was 1.000, indicating a "zero growth" level and weak momentum for efficiency improvement in asset-heavy and heavily regulated industries. In 2018-2019, the dynamic value of TFP for power grid enterprises reached as high as 1.088, mainly due to the concentrated commissioning of ultra-high voltage power transmission lines and the first batch of spot market pilot projects, with TC = 1.065 and EC = 1.021, demonstrating simultaneous improvement in technological progress and management efficiency. However, in 2019-2020, with the reduction in load and electricity prices, the dynamic value of TFP for power grid enterprises plummeted to 0.949, EC dropped to 0.951, and TC only increased slightly by 0.998, highlighting the negative impact of technological inefficiency. Stimulated by the "new infrastructure" initiative in 2020-2021, the EC (Economic Convergence) rebounded to 1.067, driving the dynamic value of total factor productivity (TFP) for power grid companies back to 1.035. However, TC (Total Factor Productivity) dropped to 0.97, indicating diminishing marginal benefits from hardware investment. In 2021-2022, high coal prices and low water levels led to TC falling below 1 for the fourth consecutive year (to 0.985), and EC again dropped to 0.941. The dynamic value of TFP for power grid companies fell to 0.927, demonstrating the significant erosion of efficiency by cost shocks. The four-year average EC was 0.995 and TC was 1.0045, with technological progress being almost the only positive contributor, albeit a weak one.

[0075] Table 3. Dynamic Evaluation Values ​​of Total Factor Productivity of Power Grid Enterprises in 30 Chinese Provinces, 2018-2022

[0076] Year interval EC TC PEC SEC TFP 2018-2019 1.021 1.065 1.023 0.998 1.088 2019-2020 0.951 0.998 0.968 0.982 0.949 2020-2021 1.067 0.970 1.051 1.015 1.035 2021-2022 0.941 0.985 0.944 0.997 0.927 Mean 0.995 1.005 0.997 0.998 1.000

[0077] Example 2

[0078] This embodiment provides a device for evaluating the operating efficiency of power grid enterprises using a combination of dynamic and static methods, including:

[0079] The evaluation index system construction module is used to construct an evaluation index system for the operating efficiency of power grid enterprises; wherein, the evaluation index system for the operating efficiency of power grid enterprises includes: input indicators and output indicators for the operating efficiency of power grid enterprises.

[0080] The module for constructing a static evaluation model for the operating efficiency of power grid enterprises is used to construct a static evaluation model for the operating efficiency of power grid enterprises based on the evaluation index system for operating efficiency of power grid enterprises; wherein, the static evaluation model is a static evaluation model for the total factor productivity of power grid enterprises based on the DEA-BCC model; the module calculates the comprehensive technical efficiency value of each decision unit (DMU) in a certain period through the static evaluation model, which is used to reflect the resource utilization efficiency of power grid enterprises in a given period;

[0081] The module for constructing a dynamic evaluation model for the operating efficiency of power grid enterprises is used to construct a dynamic evaluation model for the operating efficiency of power grid enterprises based on the evaluation index system for operating efficiency of power grid enterprises. The dynamic evaluation model is a dynamic evaluation model for the total factor productivity of power grid enterprises based on the Malmquist index, which measures the dynamic changes in the total factor productivity of power grid enterprises from period t to t+1.

[0082] A non-transitory computer-readable storage medium storing a computer program that, when executed by a processor, implements a dynamic and static combined evaluation method for the operating efficiency of a power grid enterprise as described above.

[0083] Furthermore, the present invention adopts the following technical solution:

[0084] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the above-described method for combining dynamic and static evaluation of the operating efficiency of a power grid enterprise.

[0085] From the above description of the embodiments, those skilled in the art will clearly understand that the facilities of the present invention can be implemented using software plus necessary general-purpose hardware platforms. Embodiments of the present invention can be implemented using existing processors, or by dedicated processors used for this or other purposes for suitable systems, or by hardwired systems. Embodiments of the present invention also include non-transitory computer-readable storage media, comprising machine-readable media for carrying or having machine-executable instructions or data structures stored thereon; such machine-readable media can be any available medium accessible by a general-purpose or special-purpose computer or other machine with a processor. For example, such machine-readable media can include RAM, ROM, EPROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store the required program code in the form of machine-executable instructions or data structures and is accessible by a general-purpose or special-purpose computer or other machine with a processor. When information is transmitted or provided to a machine via a network or other communication connection (hardwired, or wireless, or a combination of hardwired and wireless), that connection is also considered a machine-readable medium.

[0086] The technical solution of the present invention has been described above with reference to the preferred embodiments shown in the accompanying drawings. However, it will be readily understood by those skilled in the art that the scope of protection of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after such changes or substitutions will all fall within the scope of protection of the present invention.

Claims

1. A method for evaluating the static and dynamic combination of the efficiency of a power grid enterprise, characterized in that, The method comprises the following steps: An operation efficiency evaluation index system of the power grid enterprise is constructed; wherein, the operation efficiency evaluation index system of the power grid enterprise comprises: operation efficiency evaluation input indexes and operation efficiency evaluation output indexes of the power grid enterprise; An operation efficiency static evaluation model of the power grid enterprise is constructed based on the operation efficiency evaluation index system of the power grid enterprise; wherein, the static evaluation model is a total factor productivity static evaluation model of the power grid enterprise based on a DEA-BCC model; a comprehensive technical efficiency value of each decision unit DMU in a certain period is calculated through the static evaluation model, which is used to reflect the resource utilization efficiency of the power grid enterprise in a given period; An operation efficiency dynamic evaluation model of the power grid enterprise is constructed based on the operation efficiency evaluation index system of the power grid enterprise; wherein, the dynamic evaluation model is a total factor productivity dynamic evaluation model of the power grid enterprise based on a Malmquist index, which is used to measure the dynamic change of the total factor productivity of the power grid enterprise from t to t+1.

2. The method for evaluating the static and dynamic combination of the efficiency of a power grid operator according to claim 1, characterized in that, The method for constructing the operation efficiency static evaluation model of the power grid enterprise is: The model is input-oriented DEA-BCC model, the objective function is to minimize the input weight, the constraint condition ensures that the output is not lower than the actual value, by solving the linear programming problem, the comprehensive technical efficiency value θ of each DMU can be obtained, θ = 1 indicates that the unit is on the efficiency frontier, θ < 1 indicates that there is efficiency improvement space, the slack variable S + and S- for measuring the degree of excess input or output deficiency; The constraint condition is: where k represents the number of DMUs of the evaluated power grid enterprises, x ik and y rk respectively represent the i-th input factor quantity and the r-th output factor quantity of the k-th power grid enterprise, λ k is a planning decision variable weight, ε is a non-Archimedean infinitesimal, and are slack variables; The comprehensive technical efficiency value θ is obtained by solving the above linear programming model, which reflects the distance of the DMU relative to the efficiency frontier.

3. The method for evaluating the static and dynamic combination of the efficiency of a power grid operator according to claim 1, characterized in that, The method for constructing the operation efficiency dynamic evaluation model of the power grid enterprise is: The technical efficiency change EC is obtained, and the change from the t period to the t+1 period can be expressed as: The technical progress change TC is obtained, and the change from the t period to the t+1 period can be expressed as: The total factor productivity TFP is expressed as: TFP=EC×TC=PEC×SEC×TC Wherein, PEC is the pure technical efficiency change, and SEC is the scale efficiency change, which together constitute the technical efficiency change EC; the pure technical efficiency change PEC and the scale efficiency change SEC are obtained by decomposing the technical efficiency change; In the formula, x t represents the input vector of the power grid enterprise in the t period, y t represents the output vector of the power grid enterprise in the t period;(x t ,y t ) and (x t+1 ,y t+1 ) are the input-output relationship of the t period and the t+1 period, respectively.

4. The method for evaluating the static and dynamic combination of the efficiency of a power grid operator according to claim 3, characterized in that, The method for measuring the dynamic change of the total factor productivity of the power grid enterprise from t to t+1 through the dynamic evaluation model is: When the total factor productivity TFP>1, it indicates that the total factor productivity of the power grid enterprise has improved; When the total factor productivity TFP<1, it indicates that the total factor productivity of the power grid enterprise has decreased; When the technical efficiency change EC>1, it indicates that the technical efficiency of the power grid enterprise has improved; when the technical efficiency change EC<1, it indicates that the technical efficiency of the power grid enterprise has decreased; When the technical progress change TC>1, it indicates that the production technology of the power grid enterprise has progressed; when the technical progress change TC<1, it indicates that the production technology of the power grid enterprise has progressed slowly.

5. The method for evaluating the static and dynamic combination of the efficiency of a power grid operator according to claim 1, characterized in that, The operation efficiency evaluation input indexes of the power grid enterprise include fixed asset investment, total number of employees, total length of 110kV and above transmission lines, and total capacity of 110kV and above transformers.

6. The method for evaluating the static and dynamic combination of the efficiency of a power grid operator according to claim 1, characterized in that, The operation efficiency evaluation output indexes of the power grid enterprise include power sales volume, line loss rate, clean energy power generation volume, and cumulative number of effective invention patents.

7. A device for evaluating the static and dynamic efficiency of a power grid operator, characterized in that it comprises: It comprises: An evaluation index system construction module is used to construct an operation efficiency evaluation index system of the power grid enterprise; wherein, the operation efficiency evaluation index system of the power grid enterprise comprises: operation efficiency evaluation input indexes and operation efficiency evaluation output indexes of the power grid enterprise; The power grid enterprise operation efficiency static evaluation model construction module is configured to construct a power grid enterprise operation efficiency static evaluation model based on the power grid enterprise operation efficiency evaluation index system; the static evaluation model is a power grid enterprise total factor productivity static evaluation model based on a DEA-BCC model; the static evaluation model is configured to calculate a comprehensive technical efficiency value of each decision unit DMU in a certain period, which is used to reflect the resource utilization efficiency of the power grid enterprise in the given period; The power grid enterprise operation efficiency dynamic evaluation model construction module is configured to construct a power grid enterprise operation efficiency dynamic evaluation model based on the power grid enterprise operation efficiency evaluation index system; the dynamic evaluation model is a power grid enterprise total factor productivity dynamic evaluation model based on a Malmquist index, which is configured to measure the dynamic change of the power grid enterprise total factor productivity from period t to period t+1.

8. A non-transitory computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program is executed by the processor to implement the power grid enterprise operation efficiency dynamic and static combined evaluation method according to any one of claims 1 to 6.

9. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor executes the program to implement the power grid enterprise operation efficiency dynamic and static combined evaluation method according to any one of claims 1 to 6.

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