New energy and conventional power source matching method of electric power system

Abstract

The invention provides a new energy and conventional power source matching method for a power system, and the method comprises the steps: constructing a power system generalized adequacy index of the power system, comprising an electric power and electric quantity abundance index, a frequency safety index and a flexibility demand index, and data collection of the electric power and electric quantity abundance index comprises first load data, power supply data and power grid data; data processing of electric power and electric quantity adequacy indexes: data collection of load prediction, electric reliability evaluation and calculation indexes and frequency safety indexes: real-time frequency number, generator data and load characteristic data; and data processing of frequency safety indexes: frequency monitoring and analysis and frequency stability evaluation. According to the new energy and conventional power source matching method of the electric power system, data can be accurately and more finely collected and processed when an index matching mode is carried out, and the data can be more accurate in the later-stage matching operation.

Description

Technical Field

[0001] The present invention relates to the field of electric power operation, and in particular to a method for matching new energy and conventional power sources in an electric power system. Background Art

[0002] In today's power industry, it is crucial to ensure the stable and reliable operation of the power system. With the continuous adjustment of the energy structure and the rapid development of new energy technologies, the power system is facing new challenges and opportunities. On the one hand, the traditional power supply model based on conventional power sources such as coal-fired power, gas-fired power, and hydropower is gradually shifting to a diversified model integrating new energy. New energy such as wind power and solar energy have the advantages of being clean and renewable, but they also have the characteristics of intermittency, volatility, and uncertainty, which has a significant impact on the power system's power adequacy, frequency safety, and flexibility.

[0003] The patent application with announcement number CN117477659A proposed in the prior art constructs a generalized power system adequacy index of the power system, including a power and electricity adequacy index, a frequency safety index and a flexibility demand index, and then constructs a new energy and conventional power source ratio model based on the generalized power system adequacy index, and further solves the energy and conventional power source ratio model to obtain a new energy and conventional power source ratio result that meets the constraints of the generalized power system adequacy index, thereby being able to obtain a reasonable ratio of new energy and conventional power sources that meets the generalized adequacy requirements of the power system with high new energy penetration, which is conducive to promoting the consumption of new energy in new power systems.

[0004] However, the current matching method uses the planning and matching operations of power sufficiency indicators, frequency safety indicators and flexibility demand indicators. However, when carrying out the planning operations of various indicators, it is impossible to collect and process the indicator data in detail, which can easily affect the accuracy of the subsequent matching.

[0005] Therefore, it is necessary to provide a method for matching new energy and conventional power sources in an electric power system to solve the above technical problems. Summary of the invention

[0006] The present invention provides a method for matching new energy and conventional power sources in an electric power system, which solves the problem that the index data cannot be collected and processed in detail when various index planning operations are currently performed, which easily affects the accuracy of the subsequent matching.

[0007] In order to solve the above technical problems, the present invention provides a method for matching new energy and conventional power sources in a power system, comprising:

[0008] S1. constructing a generalized adequacy index of the power system, wherein the generalized adequacy index of the power system includes an electric power adequacy index, a frequency security index and a flexibility demand index;

[0009] S11. Data collection of power adequacy indicators: first load data, power supply data and grid data;

[0010] Data processing of power adequacy indicators: load forecasting, power reliability assessment and calculation indicators;

[0011] S12. Data collection of frequency safety indicators: real-time frequency data, generator data and load characteristic data;

[0012] Data processing of frequency security indicators: frequency monitoring and analysis, frequency stability assessment and specified frequency control strategies;

[0013] S13. Data collection of flexibility demand indicators: new energy data, secondary load data and grid operation data;

[0014] Data processing of flexibility demand indicators: flexibility assessment, flexibility resource analysis and optimized flexibility configuration;

[0015] S2. Based on the generalized adequacy index of the power system, a new energy and conventional power supply ratio model is constructed;

[0016] S3. Solve the energy and conventional power supply ratio model to obtain a new energy and conventional power supply ratio result that meets the constraints of the generalized adequacy of the power system.

[0017] Preferably, the first load data collects various load data of different time periods through smart meters and SCADA systems, including industrial load, commercial load, and residential load, and records historical load curves, maximum load values, minimum load values, and average loads. The power supply data is used to count the installed capacity, actual power generation power, available capacity, and maintenance plan of various power sources. For traditional power sources such as coal-fired power, gas-fired power, and hydropower, their fuel supply conditions and power generation efficiency information are collected. The power grid data is used to obtain information on the topology of the power grid, line transmission capacity, and transformer capacity, as well as power grid expansion plans and project progress.

[0018] Preferably, the load forecast is used to predict future loads using time series analysis and machine learning methods, and the impact of factors such as economic development, population growth, and climate change on the load; the power supply reliability assessment is used to analyze the reliability indicators of various types of power supplies; and the calculation indicators are used to calculate the adequacy indicators of the standby capacity indicator, the probability of load loss, and the expected value of power shortage based on the collected data.

[0019] Preferably, the real-time frequency data is used to collect system frequency data in real time using high-precision measurement equipment for synchronous phasor measurement; the generator data collects information on the rated capacity, actual output, speed regulator parameters, and inertia time constant of the generator; and the load characteristic data is used to analyze the frequency response characteristics of different types of loads.

[0020] Preferably, the frequency monitoring and analysis is used to monitor real-time frequency data and analyze frequency fluctuations, trends and abnormal events; the frequency stability assessment is used to evaluate the frequency stability of the system in combination with generator and load data; and the formulation of frequency control strategy can formulate corresponding frequency control strategy based on the analysis results of frequency safety indicators.

[0021] Preferably, the new energy data is used to collect predicted power output and actual power output data of new energy power generation, and analyze its volatility and uncertainty; the second load data is used to analyze the changing characteristics of the load; and the power grid operation data is used to obtain the operating status data of the power grid.

[0022] Preferably, the flexibility assessment can evaluate the flexibility demand of the system based on the changing characteristics of new energy and loads, the flexibility resource analysis is used to identify flexibility resources in the system, and the optimized flexibility configuration can determine the best flexibility resource configuration plan based on the flexibility demand assessment and resource analysis results through optimization algorithms and other methods.

[0023] Preferably, S2 comprises the following steps:

[0024] S21. Data collection and analysis: new energy characteristic data collection, conventional power characteristic data collection, load demand data collection, and power grid data collection;

[0025] S22, Model construction and solution: Establish power system model, determine objective function, establish reliability assessment model, establish economic cost model, establish environmental impact model, select optimization algorithm, model solution and analysis;

[0026] S23. Verification and application: Model verification, application and decision-making.

[0027] Preferably, the new energy characteristic data collection is used to collect power generation characteristic data of different types of new energy, the conventional power supply characteristic data collection is used to collect technical parameters and operating characteristics of conventional power supplies, the load demand data collection is used to collect load demand data of the power system, and the power grid data collection is used to obtain information on the topology of the power grid, line transmission capacity, and transformer capacity.

[0028] Preferably, the model verification is used to verify the model using actual data or simulated data to ensure the accuracy and reliability of the model, and the application and decision-making can make decisions on the ratio of new energy and conventional power sources based on the model results.

[0029] Compared with the related art, the method for matching new energy and conventional power sources in a power system provided by the present invention has the following beneficial effects:

[0030] The present invention provides a method for matching new energy and conventional power sources in an electric power system. In S1, data collection of electric power adequacy indicators is respectively utilized: first load data, power source data and power grid data; data processing of electric power adequacy indicators is utilized: load forecasting, power reliability evaluation and calculation indicators; data collection of frequency safety indicators is utilized: real-time frequency data, generator data and load characteristic data; data processing of frequency safety indicators is utilized: frequency monitoring and analysis, frequency stability evaluation and specified frequency control strategy; data collection of flexibility demand indicators is utilized: new energy data, second load data and power grid operation data; data processing of flexibility demand indicators is utilized: flexibility evaluation, flexibility resource analysis and operation method for optimizing flexibility configuration. Therefore, data can be collected and processed more accurately and finely when matching indicators, so that data during matching operation in the later stage can be more accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A schematic diagram of a preferred embodiment of a method for matching new energy and conventional power sources in an electric power system provided by the present invention;

[0032] Figure 2 for Figure 1 A schematic diagram of the second step is shown. DETAILED DESCRIPTION

[0033] The present invention will be further described below in conjunction with the accompanying drawings and implementation modes.

[0034] Please refer to Figure 1 and Figure 2 ,in, Figure 1 A schematic diagram of a preferred embodiment of a method for matching new energy and conventional power sources in an electric power system provided by the present invention; Figure 2 for Figure 1 A method for matching new energy and conventional power sources in an electric power system, comprising:

[0035] S1. constructing a generalized adequacy index of the power system, wherein the generalized adequacy index of the power system includes an electric power adequacy index, a frequency security index and a flexibility demand index;

[0036] S11. Data collection of power adequacy indicators: first load data, power supply data and grid data;

[0037] Data processing of power adequacy indicators: load forecasting, power reliability assessment and calculation indicators;

[0038] S12. Data collection of frequency safety indicators: real-time frequency data, generator data and load characteristic data;

[0039] Data processing of frequency security indicators: frequency monitoring and analysis, frequency stability assessment and specified frequency control strategies;

[0040] S13. Data collection of flexibility demand indicators: new energy data, secondary load data and grid operation data;

[0041] Data processing of flexibility demand indicators: flexibility assessment, flexibility resource analysis and optimized flexibility configuration;

[0042] S2. Based on the generalized adequacy index of the power system, a new energy and conventional power supply ratio model is constructed;

[0043] S3. Solve the energy and conventional power supply ratio model to obtain a new energy and conventional power supply ratio result that meets the constraints of the generalized adequacy of the power system.

[0044] The first load data collects various load data of different time periods through smart meters and SCADA systems, including industrial load, commercial load, and residential load, and records historical load curves, maximum load values, minimum load values, and average loads. The power supply data is used to count the installed capacity, actual power generation power, available capacity, and maintenance plans of various power sources. For traditional power sources such as coal-fired power, gas-fired power, and hydropower, their fuel supply conditions and power generation efficiency information are collected. The power grid data is used to obtain information on the topological structure of the power grid, line transmission capacity, transformer capacity, as well as power grid expansion plans and project progress.

[0045] The load forecast is used to predict future loads using time series analysis and machine learning methods, and the impact of economic development, population growth, and climate change on loads. The power reliability assessment is used to analyze the reliability indicators of various types of power sources. The calculation indicators are used to calculate the adequacy indicators of standby capacity indicators, load loss probability, and expected value of power shortage based on the collected data.

[0046] The real-time frequency data is used to collect system frequency data in real time using high-precision measurement equipment for synchronous phasor measurement. The generator data collects information on the rated capacity, actual output, speed regulator parameters, and inertia time constant of the generator. The load characteristic data is used to analyze the frequency response characteristics of different types of loads.

[0047] The frequency monitoring and analysis is used to monitor real-time frequency data and analyze frequency fluctuations, trends and abnormal events. The frequency stability assessment is used to evaluate the frequency stability of the system in combination with generator and load data. The frequency control strategy formulation can formulate corresponding frequency control strategies based on the analysis results of frequency safety indicators.

[0048] The new energy data is used to collect the predicted power output and actual power output data of new energy power generation, and analyze its volatility and uncertainty. The second load data is used to analyze the changing characteristics of the load. The power grid operation data is used to obtain the operating status data of the power grid.

[0049] The flexibility assessment can evaluate the flexibility demand of the system based on the changing characteristics of new energy and load. The flexibility resource analysis is used to identify the flexibility resources in the system. The optimized flexibility configuration can determine the best flexibility resource configuration plan based on the flexibility demand assessment and resource analysis results through optimization algorithms and other methods.

[0050] The S2 comprises the following steps:

[0051] S21. Data collection and analysis: new energy characteristic data collection, conventional power characteristic data collection, load demand data collection, and power grid data collection;

[0052] S22, Model construction and solution: Establish power system model, determine objective function, establish reliability assessment model, establish economic cost model, establish environmental impact model, select optimization algorithm, model solution and analysis;

[0053] S23. Verification and application: Model verification, application and decision-making.

[0054] The new energy characteristic data collection is used to collect power generation characteristic data of different types of new energy, the conventional power supply characteristic data collection is used to collect technical parameters and operating characteristics of conventional power supplies, the load demand data collection is used to collect load demand data of the power system, and the power grid data collection is used to obtain information on the topological structure, line transmission capacity, and transformer capacity of the power grid.

[0055] The model verification is used to verify the model using actual data or simulated data to ensure the accuracy and reliability of the model. The application and decision-making can make decisions on the ratio of new energy and conventional power sources based on the model results.

[0056] Establish a power system model: Construct a mathematical model of the power system including a generator model, a load model, and a network model. The generator model should take into account the characteristics of new energy and conventional power sources. The load model should reflect the demand characteristics of different types of loads. The network model should accurately describe the topological structure and electrical parameters of the power system.

[0057] Consider the operating constraints of the power system, such as power balance constraints, voltage constraints, frequency constraints, etc.

[0058] Determine the objective function: Determine the objective of the matching model based on actual needs. It can be a single objective or a combination of multiple objectives.

[0059] Establish a reliability assessment model: Establish a reliability assessment model to evaluate the system reliability under different ratios of new energy and conventional power sources. Probabilistic methods such as Monte Carlo simulation and state enumeration method can be used.

[0060] Taking into account the system's failure probability, failure type, repair time, and the reliability differences between new energy and conventional power sources, the system's reliability indicators, such as power outage frequency, power outage duration, and system availability, are calculated.

[0061] Establish an economic cost model: Construct an economic cost model to evaluate the system economic cost under different ratios of new energy and conventional power sources, taking into account factors such as investment cost, operation and maintenance cost, fuel cost, and subsidy cost of new energy and conventional power sources.

[0062] Taking into account the cost trends of different power sources over time, as well as the impact of policy and market factors on costs, the total cost of the system and the economic indicators of the levelized cost of electricity are calculated.

[0063] Establish an environmental impact model: Establish an environmental impact model to evaluate the system environmental impact under different ratios of new energy and conventional power sources, taking into account the emission characteristics of new energy and conventional power sources, such as the emissions of pollutants such as carbon dioxide, nitrogen oxides, and sulfur dioxide.

[0064] Consider the external costs of environmental impacts, such as the impact of climate change on the economy and society, and calculate the system's environmental impact indicators, such as carbon emission intensity and environmental costs.

[0065] Select optimization algorithm: For single-objective optimization, you can choose a suitable optimization algorithm, such as linear programming, nonlinear programming, genetic algorithm, and determine the parameters and initial values ​​of the optimization algorithm based on the objective function and constraints.

[0066] For multi-objective optimization, multi-objective optimization algorithms such as NSGA-II and MOPSO can be used.

[0067] Model solving and analysis: Use the selected optimization algorithm to solve the established model. During the calculation process, continuously adjust the ratio of new energy and conventional power sources to meet the optimization objectives and system constraints.

[0068] Analyze the optimization results, including system reliability, economic cost, and environmental impact, evaluate the advantages and disadvantages of different ratio schemes, and determine the best or satisfactory ratio scheme.

[0069] Conduct sensitivity analysis to study the impact of different factors on the matching results, such as changes in the cost of renewable energy power generation, growth in load demand, and adjustments to policy subsidies.

[0070] Compared with the related art, the method for matching new energy and conventional power sources in a power system provided by the present invention has the following beneficial effects:

[0071] The present invention provides a method for matching new energy and conventional power sources in an electric power system. In S1, data collection of electric power adequacy indicators is respectively utilized: first load data, power source data and power grid data; data processing of electric power adequacy indicators is utilized: load forecasting, power reliability evaluation and calculation indicators; data collection of frequency safety indicators is utilized: real-time frequency data, generator data and load characteristic data; data processing of frequency safety indicators is utilized: frequency monitoring and analysis, frequency stability evaluation and specified frequency control strategy; data collection of flexibility demand indicators is utilized: new energy data, second load data and power grid operation data; data processing of flexibility demand indicators is utilized: flexibility evaluation, flexibility resource analysis and operation method for optimizing flexibility configuration. Therefore, data can be collected and processed more accurately and finely when matching indicators, so that data during matching operation in the later stage can be more accurate.

[0072] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for matching new energy and conventional power sources in an electric power system, characterized in that: include: S1. constructing a generalized adequacy index of the power system, wherein the generalized adequacy index of the power system includes an electric power adequacy index, a frequency security index and a flexibility demand index; S11. Data collection of power adequacy indicators: first load data, power supply data and grid data; Data processing of power adequacy indicators: load forecasting, power reliability assessment and calculation indicators; S12. Data collection of frequency safety indicators: real-time frequency data, generator data and load characteristic data; Data processing of frequency security indicators: frequency monitoring and analysis, frequency stability assessment and specified frequency control strategies; S13. Data collection of flexibility demand indicators: new energy data, secondary load data and grid operation data; Data processing of flexibility demand indicators: flexibility assessment, flexibility resource analysis and optimized flexibility configuration; S2. Based on the generalized adequacy index of the power system, a new energy and conventional power supply ratio model is constructed; S3. Solve the energy and conventional power supply ratio model to obtain a new energy and conventional power supply ratio result that meets the constraints of the generalized adequacy of the power system.

2. The method for matching new energy and conventional power sources in an electric power system according to claim 1, characterized in that: The first load data collects various load data of different time periods through smart meters and SCADA systems, including industrial load, commercial load, and residential load, and records historical load curves, maximum load values, minimum load values, and average loads. The power supply data is used to count the installed capacity, actual power generation power, available capacity, and maintenance plans of various power sources. For traditional power sources such as coal-fired power, gas-fired power, and hydropower, their fuel supply conditions and power generation efficiency information are collected. The power grid data is used to obtain information on the topological structure of the power grid, line transmission capacity, transformer capacity, as well as power grid expansion plans and project progress.

3. The method for matching new energy and conventional power sources in an electric power system according to claim 1, characterized in that: The load forecast is used to predict future loads using time series analysis and machine learning methods, and the impact of economic development, population growth, and climate change on loads. The power reliability assessment is used to analyze the reliability indicators of various types of power sources. The calculation indicators are used to calculate the adequacy indicators of standby capacity indicators, load loss probability, and expected value of power shortage based on the collected data.

4. The method for matching new energy and conventional power sources in an electric power system according to claim 1, characterized in that: The real-time frequency data is used to collect system frequency data in real time using high-precision measurement equipment for synchronous phasor measurement. The generator data collects information on the rated capacity, actual output, speed regulator parameters, and inertia time constant of the generator. The load characteristic data is used to analyze the frequency response characteristics of different types of loads.

5. The method for matching new energy and conventional power sources in an electric power system according to claim 1, characterized in that: The frequency monitoring and analysis is used to monitor real-time frequency data and analyze frequency fluctuations, trends and abnormal events. The frequency stability assessment is used to evaluate the frequency stability of the system in combination with generator and load data. The frequency control strategy formulation can formulate corresponding frequency control strategies based on the analysis results of frequency safety indicators.

6. The method for matching new energy and conventional power sources in an electric power system according to claim 1, characterized in that: The new energy data is used to collect the predicted power output and actual power output data of new energy power generation, and analyze its volatility and uncertainty. The second load data is used to analyze the changing characteristics of the load. The power grid operation data is used to obtain the operating status data of the power grid.

7. The method for matching new energy and conventional power sources in an electric power system according to claim 1, characterized in that: The flexibility assessment can evaluate the flexibility demand of the system based on the changing characteristics of new energy and load. The flexibility resource analysis is used to identify the flexibility resources in the system. The optimized flexibility configuration can determine the best flexibility resource configuration plan based on the flexibility demand assessment and resource analysis results through optimization algorithms and other methods.

8. The method for matching new energy and conventional power sources in an electric power system according to claim 1, characterized in that: The S2 comprises the following steps: S21. Data collection and analysis: new energy characteristic data collection, conventional power characteristic data collection, load demand data collection, and power grid data collection; S22, Model construction and solution: Establish power system model, determine objective function, establish reliability assessment model, establish economic cost model, establish environmental impact model, select optimization algorithm, model solution and analysis; S23. Verification and application: Model verification, application and decision-making.

9. The method for matching new energy and conventional power sources in an electric power system according to claim 8, characterized in that: The new energy characteristic data collection is used to collect power generation characteristic data of different types of new energy, the conventional power supply characteristic data collection is used to collect technical parameters and operating characteristics of conventional power supplies, the load demand data collection is used to collect load demand data of the power system, and the power grid data collection is used to obtain information on the topological structure, line transmission capacity, and transformer capacity of the power grid.

10. The method for matching new energy and conventional power sources in an electric power system according to claim 8, characterized in that: The model verification is used to verify the model using actual data or simulated data to ensure the accuracy and reliability of the model. The application and decision-making can make decisions on the ratio of new energy and conventional power sources based on the model results.

Images