Electric power resource evaluation method and device

Abstract

The invention discloses an electric power resource evaluation method and device, and relates to the technical field of electric power resources, and the method comprises the steps: S1, constructing an evaluation system; s2, preparing an evaluation environment; s3, data collection and calculation; s4, generating an evaluation result; and S5, feeding back an evaluation report. According to the electric power resource evaluation method and device, a multi-dimensional evaluation system is constructed based on the characteristics and actual demands of the electric power resources, the electric power resources can be comprehensively evaluated from the four dimensions of technical performance, economical efficiency, reliability and environmental protection performance, specific evaluation indexes are determined for each dimension, meanwhile, the calculation modes of all the indexes are determined, and the evaluation efficiency of the electric power resources is improved. According to the method, the specific values of each evaluation index are calculated to obtain an accurate and quantitative evaluation result, and the unified evaluation standard and specification are formulated to promote each region to carry out electric power resource evaluation according to the unified standard, so that the comparison and analysis of the evaluation result are promoted, and the development of the electric power industry is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power resources, and in particular to an electric power resource evaluation method and device. Background Art

[0002] Electricity resources are energy sources that use electricity as a driving force. They are clean, economical, and efficient, and are an indispensable energy resource for the stable development of a country. According to the classification of energy use stages, electricity resources belong to terminal energy; according to the state of energy, it belongs to secondary energy. From the perspective of power generation energy, electricity resources can be generated through coal, oil, natural gas, nuclear energy, hydropower, wind energy, solar energy, and other energy sources. The power system includes an electricity production and consumption system. Electricity resources are generated and supplied to society through this system to support production, operation, and life activities.

[0003] Electric power resource assessment is the process of evaluating the utilization of electric power resources. Its main purpose is to understand the energy utilization efficiency of the power system, identify energy waste and inefficiency, and provide a basis for improvement. The assessment involves the analysis of the energy supply and energy consumption of the power system, as well as the real-time monitoring and comprehensive evaluation of energy use. The existing assessment process usually includes: statistics and analysis of the energy supply and energy consumption data of the power system; installation of energy measurement equipment and monitoring systems to monitor the energy use of the power system in real time; use of energy management systems for data collection, energy metering and energy analysis, and comprehensive evaluation of the energy use of the power system.

[0004] However, in the actual evaluation process, the lack of unified standards and specifications in the existing evaluation process makes it difficult to compare and analyze the evaluation results in different regions. In addition, the existing technology lacks a multi-dimensional evaluation system, and it is easy to fail to comprehensively consider various evaluation indicators, resulting in one-sided evaluation results that cannot fully reflect the true performance and comprehensive benefits of power resources.

[0005] Therefore, it is urgent to improve this shortcoming. The present invention studies and improves the existing technology and its shortcomings, and provides a power resource evaluation method and device. Summary of the invention

[0006] The purpose of the present invention is to provide a method and device for evaluating electric power resources to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions: On the one hand, a method for evaluating electric power resources is provided, comprising the following steps: S1. Evaluation system construction: Determine the evaluation objectives according to the characteristics of power resources and actual needs, and select evaluation indicators from four dimensions of technical performance, economic efficiency, reliability and environmental performance according to the evaluation objectives to establish an evaluation system; S2. Evaluation environment preparation: Before the evaluation, prepare the evaluation environment, check the operating status of the power system equipment, and ensure the normal operation of the data acquisition system; S3, data collection and calculation: collect data related to the evaluation indicators through various channels, process the collected data, and calculate the specific values ​​of each evaluation indicator; S4. Evaluation result generation: Based on the values ​​of various evaluation indicators, the performance of power resources is comprehensively evaluated, and evaluation results are formed and analyzed to gain an in-depth understanding of the energy utilization, stability and existing problems of the power system, and formulate corresponding improvement measures; Compare the integrated value in step S3 with the preset range, and if it falls into the corresponding range, it belongs to the corresponding rating, and the corresponding rating is used as the evaluation result; S5. Evaluation report feedback: The evaluation results and analysis are compiled into an evaluation report, which includes evaluation objectives, methods, data, conclusions, and suggestions. Based on the evaluation report, the evaluation work is summarized, and the evaluation results and improvement suggestions are fed back. For existing problems and deficiencies, corresponding improvement measures should be formulated and implemented. At the same time, the evaluation work should be reviewed and reflected upon, and the evaluation process and methods should be continuously optimized.

[0008] Furthermore, in step S1, the power resource evaluation specifically includes the following evaluation dimensions: Technical performance evaluation: responsible for evaluating the technical performance and operating efficiency of the power system; Economic evaluation: responsible for evaluating the cost-effectiveness of power resources, including investment costs, operating costs and economic benefits of the power market; Reliability evaluation: responsible for evaluating the power supply reliability of the power system; Environmental performance evaluation: responsible for evaluating the impact of electricity production on the environment and assessing the environmental performance of power resources.

[0009] Furthermore, the technical performance evaluation specifically includes the following evaluation indicators: Coal consumption per unit of power generation: the amount of coal consumed per kilowatt-hour of electricity generated, used to measure the utilization efficiency of coal resources in the power generation process. The calculation formula is: Coal consumption per unit of power generation = total coal consumption / total power generation, where total coal consumption refers to the total amount of coal burned by the power plant in a certain period of time, and total power generation refers to the total power generation of the power plant in the corresponding period of time; Utilization hours: It indicates the ratio of the actual operating time of the power generation equipment to the theoretical maximum operating time, reflecting the equipment utilization rate. The calculation formula is: the utilization hours of the day = the power generation of the day / installed capacity. The utilization hours of the whole year is the sum of the utilization hours of each day of the whole year. Transmission loss rate: measures the degree of electric energy loss during the transmission process, that is, the proportion of power loss caused by line resistance to the total power generated during the transmission process. Calculation method: Calculate the transmission loss rate based on parameters such as line resistance and load current. For example, the active power loss of a single line can be calculated by the formula △P=I²R, where △P is the loss power, I is the load current, and R is the wire resistance.

[0010] Furthermore, the economic evaluation specifically includes the following evaluation indicators: Unit energy consumption cost: It measures the cost corresponding to the unit energy consumption in the power production process, that is, the cost generated by each unit of energy consumption. It reflects the economic efficiency of energy consumption in the power production process. The calculation formula is: Unit energy consumption cost = total cost / total energy consumption. Among them, the total cost includes all cost expenditures in the power production process, such as fuel cost, equipment maintenance cost, labor cost, etc. The total energy consumption refers to the total amount of energy consumed in the power production process, which can be electricity, coal, gas, etc.; Unit power generation revenue: the revenue brought by each unit of power generation, an indicator reflecting the power sales revenue, and together with the unit energy consumption cost, it constitutes the economic benefit analysis framework of power production. The calculation formula is: Unit power generation revenue = total power sales revenue / total power generation, among which total power sales revenue refers to the total revenue obtained from power sales, and total power generation refers to the total amount of electricity produced in the same time period.

[0011] Furthermore, the reliability evaluation specifically includes the following evaluation indicators: Power supply reliability rate: an indicator that measures the reliability of power supply provided by the power system to users, reflecting the reliability of power supply to users during the statistical period. The calculation formula is: Power supply reliability rate = (1-average power outage time of users / statistical period time) × 100%, where the average power outage time of users refers to the total average power outage duration of each user during the statistical period, and the statistical period time refers to the time period considered in the evaluation; Average fault recovery time: the average time required from the occurrence of a fault to the restoration of normal power supply after a fault occurs in the power system. It reflects the power system's ability to respond to sudden faults. The calculation formula is: Average fault recovery time = total fault recovery time / number of faults, where the total fault recovery time refers to the total time required to recover from all faults within a certain period of time, and the number of faults refers to the number of faults that occur within the same period of time.

[0012] Furthermore, the environmental performance evaluation specifically includes the following evaluation indicators: Unit emission: an indicator to measure the amount of pollutants emitted during electricity production, i.e., the amount of pollutants emitted per unit of electricity generated. It is used to assess the degree of environmental pollution caused by electricity production. The calculation formula is: Unit emission = total amount of pollutant emissions / total electricity generated. The total amount of pollutant emissions refers to the total amount of pollutants emitted during electricity production within a certain period of time, which can be calculated based on environmental monitoring data or fuel consumption data, and the total electricity generated refers to the total electricity generated within the same period of time. Carbon emission intensity: The amount of carbon dioxide emissions generated per unit of electricity generation. It is used to measure the carbon emission level of electricity production. The calculation formula is: Carbon emission intensity = total carbon dioxide emissions / total electricity generation, where the total carbon dioxide emissions are calculated through fuel consumption data, emission factor method or actual measurement method, and the total electricity generation is the total electricity generation in a certain period of time.

[0013] Furthermore, in step S3, the data collection methods include: On-site monitoring: Install sensors on power plants, transmission lines, substations and other equipment to monitor power production, transmission and consumption in real time and collect corresponding quantitative data; Automation system: Establish an automatic collection and transmission system for power market data, automatically collect data through instruments, sensors, communication equipment, etc., and transmit it to the data center through the network; Manual survey: Collect qualitative data such as the qualifications of electricity market participants, competition status and policy regulations through questionnaires, interviews, data declaration and annual reports.

[0014] Furthermore, in step S3, the data processing specifically includes the following operations: Data cleaning: perform quality control and repair on the collected data, and filter out outliers and noise; Data conversion: converting raw data into a standard format through data standardization or downsampling; data standardization is to convert data into a uniform distribution with specific attributes through specific mathematical methods, including Z-score standardization and Min-max standardization, wherein Z-score standardization is based on the mean and standard deviation of the raw data to make the data conform to the standard normal distribution, and Min-max standardization is to perform a linear transformation on the raw data and map it to a specified range, such as between 0 and 1; downsampling is to reduce the amount of data by reducing the sampling rate of the data to reduce data redundancy and computational complexity, while retaining the trends and features of the original data as much as possible, including uniform downsampling and bandpass downsampling, wherein uniform downsampling is to directly discard some sampling points, while bandpass downsampling is to use a low-pass filter to retain the information of the low-frequency part of the original signal; Data integration: integrating data from different monitoring devices or measuring points; the integration methods include: average integration, maximum integration, voting integration, and weighted integration.

[0015] On the other hand, a power resource evaluation device is provided, which is applied to the power resource evaluation method as described above, and the device comprises: The data acquisition unit is responsible for collecting data related to power resource assessment and obtaining raw data from various data sources through connections and communication protocols, including real-time or historical data from various sensors, monitoring equipment and other data sources; Evaluation and calculation unit: responsible for processing, analyzing and calculating the collected data to obtain specific values ​​of various evaluation indicators of power resources; Result generation unit: performs a comprehensive evaluation on the performance of the power resources according to the output of the evaluation calculation unit, and generates the results of the power resource evaluation; Report feedback unit: The generated evaluation results are delivered to relevant personnel or systems through report output, interface display or data interface, so that they can make decisions, adjust or optimize the configuration and management of power resources based on the evaluation results.

[0016] Furthermore, the evaluation calculation unit includes the following subunits: Data processing subunit: uses data cleaning algorithms, data conversion rules and other technical means to clean, convert and integrate the collected raw data to provide a clean and consistent data set for subsequent analysis; Data analysis subunit: Use statistical methods, data mining techniques, etc. to conduct in-depth analysis on the processed data to discover patterns, trends and correlations in the data; the statistical methods and data mining techniques include supervised learning, unsupervised learning and semi-supervised learning; Index calculation subunit: According to the specific indicators and requirements of power resource evaluation, the specific values ​​and evaluation results of each indicator are calculated according to the pre-set calculation formula and algorithm.

[0017] The present invention provides a method and device for evaluating electric power resources, which have the following beneficial effects: Based on the characteristics and actual needs of electric power resources, the present invention constructs a multi-dimensional evaluation system, which can comprehensively evaluate electric power resources from four dimensions: technical performance, economy, reliability and environmental performance, and determine specific evaluation indicators for each dimension. At the same time, the calculation method of each indicator is clarified, so as to obtain accurate and quantitative evaluation results by calculating the specific values ​​of each evaluation indicator. In combination with data cleaning, conversion and integration before indicator calculation, the accuracy of electric power resource evaluation is further guaranteed. By formulating unified evaluation standards and specifications, the present invention promotes various regions to conduct electric power resource evaluation according to unified standards, promotes comparison and analysis of evaluation results, and helps to promote the development of the power industry. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of the steps of a power resource evaluation method of the present invention; Figure 2 A block diagram of the evaluation system structure of an electric power resource evaluation method of the present invention; Figure 3 A schematic diagram of the operation logic of step S3 of a power resource evaluation method of the present invention; Figure 4 It is a structural schematic diagram of an electric power resource evaluation device of the present invention. DETAILED DESCRIPTION

[0019] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0020] like Figure 1-Figure 3 As shown, a method for evaluating electric power resources includes the following steps: S1. Evaluation system construction: According to the characteristics and actual needs of power resources, determine the evaluation objectives, and select evaluation indicators from four dimensions of technical performance, economic performance, reliability and environmental performance according to the evaluation objectives to establish an evaluation system; power resource evaluation specifically includes the following evaluation dimensions: Dimension 1: Technical performance evaluation: responsible for evaluating the technical performance and operating efficiency of the power system to ensure stable, safe and efficient operation of the system; specifically including the following evaluation indicators: Coal consumption per unit of power generation: the amount of coal consumed per kilowatt-hour of electricity generated, used to measure the utilization efficiency of coal resources in the power generation process. The calculation formula is: Coal consumption per unit of power generation = total coal consumption (tons or kilograms) / total power generation (kWh), where total coal consumption refers to the total amount of coal burned by a power plant within a certain period of time (such as one day, one month or one year), and total power generation refers to the total power generation of a power plant within the corresponding period of time; Utilization hours: It indicates the ratio of the actual operating time of the power generation equipment to the theoretical maximum operating time, reflecting the equipment utilization rate. The calculation formula is: the utilization hours of the day = the power generation of the day / installed capacity. The utilization hours of the whole year is the sum of the utilization hours of each day of the whole year. Transmission loss rate: measures the degree of power loss during the transmission process, that is, the proportion of power loss caused by line resistance to the total power generated during the transmission process. Calculation method: Calculate the transmission loss rate based on parameters such as line resistance and load current. For example, the active power loss of a single line can be calculated using the formula △P=I²R, where △P is the loss power, I is the load current, and R is the wire resistance. Dimension 2: Economic evaluation: responsible for evaluating the cost-effectiveness of power resources, including investment costs, operating costs and the economic benefits of the power market; specifically including the following evaluation indicators: Unit energy consumption cost: measures the cost corresponding to unit energy consumption in the power production process, that is, the cost generated by each unit of energy consumption (such as per kilowatt-hour or per ton of standard coal). It reflects the economic efficiency of energy consumption in the power production process. The calculation formula is: unit energy consumption cost = total cost / total energy consumption. Among them, the total cost includes all cost expenditures in the power production process, such as fuel cost, equipment maintenance cost, labor cost, etc. The total energy consumption refers to the total amount of energy consumed in the power production process, which can be electricity, coal, gas, etc. When calculating, it is necessary to ensure that the cost and energy consumption data are for the same time period to ensure the accuracy of the calculation; Unit power generation revenue: the revenue generated by each unit of power generation (such as per kilowatt-hour), an indicator reflecting the power sales revenue, and together with the unit energy consumption cost, constitute the economic benefit analysis framework of power production. The calculation formula is: Unit power generation revenue = total power sales revenue / total power generation, where total power sales revenue refers to the total revenue obtained from power sales, and total power generation refers to the total amount of electricity produced in the same time period. When calculating, it is necessary to ensure that the data of power sales revenue and power generation are accurate and matched to reflect the actual revenue situation; Dimension 3: Reliability evaluation: responsible for evaluating the power supply reliability of the power system to ensure the stability and continuity of power supply; specifically including the following evaluation indicators: Power supply reliability rate: an indicator that measures the reliability of power supply provided by the power system to users, reflecting the reliability of power supply to users during the statistical period. The calculation formula is: Power supply reliability rate = (1-average power outage time of users / statistical period time) × 100%, where the average power outage time of users refers to the total average power outage duration of each user during the statistical period, and the statistical period time refers to the time period considered in the evaluation; Mean fault recovery time: the average time required from the occurrence of a fault to the restoration of normal power supply after a fault occurs in the power system. It reflects the power system's ability to respond to sudden faults. The calculation formula is: Mean fault recovery time = total fault recovery time / number of faults, where the total fault recovery time refers to the total time required to recover from all faults within a certain period of time, and the number of faults refers to the number of faults that occur within the same period of time; Dimension 4: Environmental performance evaluation: responsible for evaluating the impact of power production on the environment and assessing the environmental performance of power resources, including pollutant emissions and energy consumption; specifically including the following evaluation indicators: Unit emission: an indicator to measure the amount of pollutants emitted during electricity production, i.e., the amount of pollutants emitted per unit of electricity generated. It is used to assess the degree of environmental pollution caused by electricity production. The calculation formula is: Unit emission = total amount of pollutant emissions / total electricity generated. The total amount of pollutant emissions refers to the total amount of pollutants emitted during electricity production within a certain period of time, which can be calculated based on environmental monitoring data or fuel consumption data, and the total electricity generated refers to the total electricity generated within the same period of time. Carbon emission intensity: The amount of carbon dioxide emissions generated per unit of electricity generation, used to measure the carbon emission level of electricity production, and the calculation formula is: Carbon emission intensity = total carbon dioxide emissions / total electricity generation, where the total carbon dioxide emissions are calculated using fuel consumption data, emission factor method or actual measurement method, and total electricity generation is the total electricity generation in a certain period of time; S2. Evaluation environment preparation: Before the evaluation, prepare the evaluation environment, check the operating status of the power system equipment, and ensure the normal operation of the data acquisition system; S3. Data collection and calculation: Collect data related to the evaluation indicators through various channels, process the collected data, and calculate the specific values ​​of each evaluation indicator; the data collection channels include: On-site monitoring: Install sensors on power plants, transmission lines, substations and other equipment to monitor power production, transmission and consumption in real time and collect corresponding quantitative data; Automation system: Establish an automatic collection and transmission system for power market data, automatically collect data through instruments, sensors, communication equipment, etc., and transmit it to the data center through the network; Manual survey: Collect qualitative data such as the qualifications of electricity market participants, competition status and policy regulations through questionnaires, interviews, data declaration and annual reports; Data processing specifically includes the following operations: Data cleaning: perform quality control and repair on the collected data, filter out outliers and noise, and ensure the accuracy and reliability of the data; Data denoising includes: smoothing, filtering, interpolation, outlier detection, noise elimination algorithm, threshold processing, adaptive filtering, segmented fitting, cluster analysis, average fusion, feature selection, data transformation and cross-validation.

[0021] Data conversion: converting raw data into a standard format through data standardization or downsampling; data standardization is to convert data into a uniform distribution with specific properties through specific mathematical methods, including Z-score standardization and Min-max standardization. Z-score standardization is based on the mean and standard deviation of the original data to make the data conform to the standard normal distribution, and Min-max standardization is to perform a linear transformation on the original data and map it to a specified range, such as between 0 and 1; downsampling is to reduce the amount of data by reducing the sampling rate of the data to reduce data redundancy and computational complexity, while retaining the trends and characteristics of the original data as much as possible, including uniform downsampling and bandpass downsampling. Uniform downsampling directly discards some sampling points, while bandpass downsampling uses a low-pass filter to retain the information of the low-frequency part of the original signal; Data integration: integrating data from different monitoring devices or measuring points; the integration methods include: average integration, maximum integration, voting integration, and weighted integration.

[0022] As an example, average integration specifically refers to: ,in, is the average integrated value; It is Measurement data of each measurement point; is the total number of measurement points; Maximum value integration specifically means: selecting the maximum value from data at different measurement points as the final integrated data.

[0023] Voting integration specifically refers to: selecting a certain measurement point as the final integrated data through a voting mechanism; Weighted integration specifically means that different measurement points are assigned different weight values, and after weighting, integrated data is obtained.

[0024] S4. Evaluation result generation: Based on the values ​​of various evaluation indicators, the performance of power resources is comprehensively evaluated, and evaluation results are formed and analyzed to gain an in-depth understanding of the energy utilization, stability and existing problems of the power system, formulate corresponding improvement measures, and improve the performance and benefits of power resources; Compare the integrated value in step S3 with the preset range, and if it falls into the corresponding range, it belongs to the corresponding rating, and the corresponding rating is used as the evaluation result; S5. Evaluation report feedback: The evaluation results and analysis are compiled into an evaluation report, which includes evaluation objectives, methods, data, conclusions, and suggestions. Based on the evaluation report, the evaluation work is summarized, and the evaluation results and improvement suggestions are fed back. For existing problems and deficiencies, corresponding improvement measures should be formulated and implemented. At the same time, the evaluation work should be reviewed and reflected upon, and the evaluation process and methods should be continuously optimized.

[0025] like Figure 4 As shown, a power resource evaluation device is applied to the power resource evaluation method as described above, and the device includes: The data acquisition unit is responsible for collecting data related to power resource assessment and obtaining raw data from various data sources through connections and communication protocols, including real-time or historical data from various sensors, monitoring equipment and other data sources; Evaluation and calculation unit: responsible for processing, analyzing and calculating the collected data to obtain the specific values ​​of various evaluation indicators of power resources; the evaluation and calculation unit includes the following sub-units: Data processing subunit: uses data cleaning algorithms, data conversion rules and other technical means to clean, convert and integrate the collected raw data to provide a clean and consistent data set for subsequent analysis; Data analysis subunit: Use statistical methods, data mining techniques, etc. to conduct in-depth analysis on the processed data to discover patterns, trends and correlations in the data; the statistical methods and data mining techniques include supervised learning, unsupervised learning and semi-supervised learning; Index calculation subunit: According to the specific indicators and requirements of power resource evaluation, the specific values ​​and evaluation results of each indicator are calculated according to the pre-set calculation formula and algorithm; Result generation unit: Based on the output of the evaluation calculation unit, the performance of the power resources is comprehensively evaluated to generate the results of the power resource evaluation; in addition, the values ​​and results of various indicators can be integrated into a report or chart form so that users can intuitively understand the performance and status of the power resources; Report feedback unit: The generated evaluation results are delivered to relevant personnel or systems through report output, interface display or data interface, so that they can make decisions, adjust or optimize the configuration and management of power resources based on the evaluation results.

[0026] The embodiments of the present invention are given for the purpose of illustration and description, and are not intended to be exhaustive or to limit the invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

Claims

1. A method for evaluating electric power resources, characterized in that: The following steps are involved: S1. Evaluation system construction: Determine the evaluation objectives according to the characteristics of power resources and actual needs, and select evaluation indicators from four dimensions of technical performance, economic efficiency, reliability and environmental performance according to the evaluation objectives to establish an evaluation system; S2. Evaluation environment preparation: Before the evaluation, prepare the evaluation environment, check the operating status of the power system equipment, and ensure the normal operation of the data acquisition system; S3, data collection and calculation: collect data related to the evaluation indicators through various channels, process the collected data, and calculate the specific values ​​of each evaluation indicator; In step S3, data processing specifically includes the following operations: Data cleaning: perform quality control and repair on the collected data, and filter out outliers and noise; Data transformation: converting raw data into a standard format through data normalization or downsampling; Data integration: integrating data from different monitoring devices or measurement points; the integration methods include: average integration, maximum integration, voting integration, and weighted integration; S4. Evaluation result generation: Based on the values ​​of various evaluation indicators, the performance of power resources is comprehensively evaluated, and evaluation results are formed and analyzed to gain an in-depth understanding of the energy utilization, stability and existing problems of the power system, and formulate corresponding improvement measures; Compare the integrated value in step S3 with the preset range, and if it falls into the corresponding range, it belongs to the corresponding rating, and the corresponding rating is used as the evaluation result; S5. Evaluation report feedback: The evaluation results and analysis will be compiled into an evaluation report. Based on the evaluation report, the evaluation work will be summarized and the evaluation results and improvement suggestions will be fed back.

2. A method for evaluating electric power resources according to claim 1, characterized in that: In step S1, the power resource evaluation specifically includes the following evaluation dimensions: Technical performance evaluation: responsible for evaluating the technical performance and operating efficiency of the power system; Economic evaluation: responsible for evaluating the cost-effectiveness of power resources, including investment costs, operating costs and economic benefits of the power market; Reliability evaluation: responsible for evaluating the power supply reliability of the power system; Environmental performance evaluation: responsible for evaluating the impact of electricity production on the environment and assessing the environmental performance of power resources.

3. A method for evaluating electric power resources according to claim 2, characterized in that: The technical performance evaluation specifically includes the following evaluation indicators: Coal consumption per unit of power generation: the amount of coal consumed per kilowatt-hour of electricity generated, used to measure the utilization efficiency of coal resources in the power generation process. The calculation formula is: Coal consumption per unit of power generation = total coal consumption / total power generation, where total coal consumption refers to the total amount of coal burned by the power plant in a certain period of time, and total power generation refers to the total power generation of the power plant in the corresponding period of time; Utilization hours: It indicates the ratio of the actual operating time of the power generation equipment to the theoretical maximum operating time, reflecting the equipment utilization rate. The calculation formula is: the utilization hours of the day = the power generation of the day / installed capacity. The utilization hours of the whole year is the sum of the utilization hours of each day of the whole year. Transmission loss rate: measures the degree of electric energy loss during the transmission process, that is, the proportion of power loss caused by line resistance in the total power generation during the transmission process. Calculation method: Calculate the transmission loss rate based on line resistance, load current and related parameters.

4. A method for evaluating electric power resources according to claim 2, characterized in that: The economic evaluation specifically includes the following evaluation indicators: Unit energy consumption cost: It measures the cost corresponding to the unit energy consumption in the power production process, that is, the cost generated by each unit of energy consumption. It reflects the economic efficiency of energy consumption in the power production process. The calculation formula is: Unit energy consumption cost = total cost / total energy consumption, where the total cost includes all cost expenditures in the power production process, and the total energy consumption refers to the total energy consumed in the power production process; Unit power generation revenue: the revenue brought by each unit of power generation, an indicator reflecting the power sales revenue, and together with the unit energy consumption cost, it constitutes the economic benefit analysis framework of power production. The calculation formula is: Unit power generation revenue = total power sales revenue / total power generation, among which total power sales revenue refers to the total revenue obtained from power sales, and total power generation refers to the total amount of electricity produced in the same time period.

5. A method for evaluating electric power resources according to claim 2, characterized in that: The reliability evaluation specifically includes the following evaluation indicators: Power supply reliability rate: an indicator that measures the reliability of power supply provided by the power system to users, reflecting the reliability of power supply to users during the statistical period. The calculation formula is: Power supply reliability rate = (1-average power outage time of users / statistical period time) × 100%, where the average power outage time of users refers to the total average power outage duration of each user during the statistical period, and the statistical period time refers to the time period considered in the evaluation; Average fault recovery time: the average time required from the occurrence of a fault to the restoration of normal power supply after a fault occurs in the power system. It reflects the power system's ability to respond to sudden faults. The calculation formula is: Average fault recovery time = total fault recovery time / number of faults, where the total fault recovery time refers to the total time required to recover from all faults within a certain period of time, and the number of faults refers to the number of faults that occur within the same period of time.

6. A method for evaluating electric power resources according to claim 2, characterized in that: The environmental performance evaluation specifically includes the following evaluation indicators: Unit emission: an indicator to measure the amount of pollutants emitted in the process of electricity production, that is, the amount of pollutants emitted per unit of electricity generation, used to assess the degree of pollution caused by electricity production to the environment. The calculation formula is: Unit emission = total amount of pollutant emissions / total electricity generation, where total amount of pollutant emissions refers to the total amount of pollutants emitted in the process of electricity production within a certain period of time, and total electricity generation refers to the total amount of electricity generated within the same period of time; Carbon emission intensity: The amount of carbon dioxide emissions generated per unit of electricity generation. It is used to measure the carbon emission level of electricity production. The calculation formula is: Carbon emission intensity = total carbon dioxide emissions / total electricity generation, where the total carbon dioxide emissions are calculated through fuel consumption data, emission factor method or actual measurement method, and the total electricity generation is the total electricity generation in a certain period of time.

7. A method for evaluating electric power resources according to claim 1, characterized in that: In step S3, the data collection methods include: On-site monitoring: installing sensors to monitor electricity production, transmission and consumption in real time and collect corresponding quantitative data; Automation system: Establish an automatic collection and transmission system for power market data, automatically collect data, and transmit it to the data center through the network; Manual survey: Collect qualitative data through questionnaires, interviews, data declaration and annual reports.

8. An electric power resource evaluation device, applied to the electric power resource evaluation method according to any one of claims 1 to 7, characterized in that: The device comprises: The data acquisition unit is responsible for collecting data related to power resource assessment and obtaining raw data from various data sources through connections and communication protocols, including real-time or historical data from various sensors, monitoring equipment and other data sources; Evaluation and calculation unit: responsible for processing, analyzing and calculating the collected data to obtain specific values ​​of various evaluation indicators of power resources; Result generation unit: performs a comprehensive evaluation on the performance of the power resources according to the output of the evaluation calculation unit, and generates the results of the power resource evaluation; Report feedback unit: The generated evaluation results are delivered to relevant personnel or systems through report output, interface display or data interface, so that they can make decisions, adjust or optimize the configuration and management of power resources based on the evaluation results.

9. The power resource evaluation device according to claim 8, characterized in that: The evaluation calculation unit includes the following subunits: Data processing subunit: cleans, transforms and integrates the collected raw data to provide a clean and consistent data set for subsequent analysis; Data Analysis Subunit: Use statistical methods and data mining techniques to conduct in-depth analysis of processed data to discover patterns, trends and correlations in the data; The statistical methods and data mining techniques include: supervised learning, unsupervised learning and semi-supervised learning; Index calculation subunit: According to the specific indicators and requirements of power resource evaluation, the specific values ​​and evaluation results of each indicator are calculated according to the pre-set calculation formula and algorithm.

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