High-proportion energy region power grid delivery capability analysis and optimization improvement system

Abstract

The invention discloses a high-proportion energy regional power grid delivery capability analysis and optimization improvement system, which comprises four research contents, namely regional power grid new energy development status assessment, new energy delivery limiting factor analysis, a regional power grid power grid planning model and regional power grid new energy delivery scheme optimization. Each research content follows a route of current situation analysis-simulation modeling-system development-pilot application; according to the method, the new energy delivery capacity of the power grid in the high-proportion new energy region is evaluated, and a grid optimization scheme of the power grid in the high-proportion new energy region is provided, so that the new energy delivery capacity and the safe and economic operation level of the power grid are improved, and the operation efficiency is improved while the new energy delivery capacity of the regional power grid is improved. And the problems of voltage bidirectional out-of-limit and power reverse transmission can be relieved, and the power grid operation management level is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power system resource configuration, in particular to a high-proportion energy area power grid external sending capacity analysis and optimization system. BACKGROUND

[0002] Under the background of new power system, the power supply structure and power generation composition in China have undergone fundamental changes. Large-scale new energy, especially large-scale grid-connected distributed renewable energy, brings some new problems to the new power system. For example: power balance problem: source and load output characteristics do not match, new energy unit output peak shaving capacity is weak; distribution equipment overload problem: photovoltaic power reverse sending leads to distribution equipment overload, causing high loss or damage of equipment; voltage two-way limit problem: the voltage of distribution network is mainly from the lower limit of the traditional to the two-way limit. With the large-scale operation of distributed photovoltaic, power reverse sending and voltage two-way limit on the side of medium and low voltage distribution network have become important factors restricting the further development of new energy of power grid. SUMMARY

[0003] The purpose of the present application is to provide a high-proportion energy area power grid external sending capacity analysis and optimization system to evaluate the new energy external sending capacity of the high-proportion new energy area power grid, and put forward the network optimization scheme of the high-proportion new energy area power grid, so as to improve the new energy external sending capacity and the safe and economic operation level of power grid, and at the same time of improving the new energy external sending capacity of the area power grid, it can also relieve the problems of voltage two-way limit and power reverse sending, and improve the operation and management level of power grid.

[0004] In order to achieve the above-mentioned purpose, the present application adopts the following technical scheme: a high-proportion energy area power grid external sending capacity analysis and optimization system, which includes four research contents, namely, evaluation of new energy development status of area power grid, analysis of new energy external sending limiting factors, planning model of power grid of area power grid, and optimization of new energy external sending scheme of area power grid. The evaluation of new energy development status of area power grid includes analysis of source and load output characteristics of high-proportion new energy area power grid and evaluation of power balance status, which can provide data basis and theoretical support for analysis of new energy external sending limiting factors and planning model of power grid of area power grid; The analysis of new energy external sending limiting factors includes evaluation of new energy external sending capacity of area power grid and analysis of limiting factors, which provides technical support for the planning model of power grid of area power grid; The planning model of power grid of area power grid includes the planning of power grid of area power grid based on new energy output characteristics and external sending capacity, which provides technical support for optimization of new energy external sending scheme; The optimization of new energy external sending scheme of area power grid includes research and development and application of new energy external sending optimization system of area power grid; Each research content follows the route of "status analysis-simulation modeling-system development-pilot application".

[0005] Optionally, in the assessment of the current status of new energy development in regional power grids, the development status of high-proportion new energy power grids in the region is analyzed based on the region's new energy development plan, regional characteristics, and power grid development trends; the new energy output characteristics of high-proportion new energy power grids in typical regions are summarized based on the analysis of historical data on new energy in typical regional power grids and relevant data such as meteorological information; typical scenarios are divided using cluster analysis algorithms based on the historical data and output characteristics of new energy in typical high-proportion new energy power grids; the source-load superposition characteristics under different typical scenarios are analyzed in combination with load output characteristics; and the power balance under typical scenarios such as winter and summer peak loads is analyzed using multi-scenario simulation technology based on the source-load superposition output characteristics, and a preliminary power balance estimate is made.

[0006] Optionally, in the analysis of limiting factors for renewable energy transmission, based on the constructed typical operating scenarios of the regional power grid, the time-series output variation characteristics are considered using the time series method and robust optimization method, and the stochastic output characteristics are considered using the semi-invariant method and equivalent power function method. A renewable energy time-series stochastic production simulation model is established to analyze the operating status of the regional power grid with a high proportion of renewable energy and the level of renewable energy transmission under multiple typical scenarios. The renewable energy transmission capacity is jointly determined by three factors: the sending-end power grid, the receiving-end power grid, and the interconnection line. These three factors are mutually coupled. The internal and external influencing factors such as regional power grid transmission and distribution requirements, power grid structure, load capacity, renewable energy access, and power grid operation, as well as their coupling relationships, are analyzed. Key indicators are formulated for quantitative evaluation, and a renewable energy transmission capacity assessment model is established. Based on renewable energy production simulation operation data and renewable energy transmission capacity assessment indicators, simulation, factor analysis, regression analysis, and expert experience methods are used to analyze the key limiting factors restricting renewable energy transmission from regional power grids with a high proportion of renewable energy.

[0007] Optionally, in the regional power grid planning model, considering the impact of power grid operation strategies on renewable energy transmission capacity and planning schemes, a two-layer planning model combining planning and operation is proposed. The upper-layer planning aims at renewable energy transmission capacity and optimizes the power grid structure, while the lower-layer planning aims at optimizing the economic and safety aspects of power grid operation and formulates optimized operation control strategies under multiple scenarios. Through the coordination of planning and operation, the optimal planning scheme is obtained. The two-layer model for power grid planning in regions with high proportions of renewable energy comprehensively considers the renewable energy output characteristics and transmission capacity. The objective function of the upper-layer model is the renewable energy transmission capacity, while the objective function of the lower-layer model includes the economic and safety indicators of power grid operation. Through iterative optimization of the upper and lower-layer models, the optimal planning scheme under the condition of satisfying the safe and economical operation of the power grid is obtained.

[0008] Optionally, the upper-level model is solved using artificial intelligence methods, while the lower-level model is solved using traditional mathematical optimization methods. By combining artificial intelligence algorithms and traditional mathematical optimization methods, convergence and computational accuracy can be guaranteed.

[0009] Optionally, in optimizing the regional power grid's renewable energy transmission scheme, the renewable energy transmission capacity is jointly determined by the power grid structure and operating status. Based on the regional power grid structure planning model, weak links in the power grid are identified and optimized. Through the coordinated optimization of equipment such as energy storage, renewable energy grid-connected converters, and reactive power compensation, the safe and economical operation level of the power grid is improved. With the goal of maximizing renewable energy transmission and minimizing backflow and voltage exceedance, a coordinated optimization model of active power, reactive power, and voltage in the regional power grid is established to optimize and improve the renewable energy transmission capacity of the regional power grid.

[0010] The system for analyzing and optimizing the power grid transmission capacity of high-proportion energy areas according to the present invention has the following advantages: (1) Based on the power output characteristics analysis of the power grid in areas with high proportion of new energy, calculate the power balance capacity under typical scenarios; based on the simulation of new energy time-series production, analyze the key constraints that limit the transmission capacity of new energy, which can provide decision support for the operation planning of the regional power grid.

[0011] (2) Break through the key technologies for improving and optimizing the power grid's ability to transmit new energy to other regions in areas with a high proportion of new energy. Optimize the weak links of the regional power grid from the two aspects of grid planning and grid operation to alleviate the problems of high equipment loss and bidirectional voltage over-limit caused by large-scale power back-transmission.

[0012] (3) Give full play to the regulation capacity of new energy power generation in different forms such as centralized power plants and distributed photovoltaics, improve the capacity for transmitting new energy to other regions, improve the efficiency of power grid operation, and thus improve the economy and security of power grid operation. Attached Figure Description

[0013] Figure 1 This describes the research content of the present invention and the relationships between its various parts.

[0014] Figure 2 It is the implementation route for assessing the current status of new energy development in the regional power grid.

[0015] Figure 3 This is an analysis of the limiting factors for the transmission of new energy to other regions and an implementation plan.

[0016] Figure 4 It is the implementation route of the regional power grid network planning model.

[0017] Figure 5 This is the optimized implementation route for the regional power grid's new energy transmission plan.

[0018] Figure 6This is the overall technical approach of the present invention. Detailed Implementation

[0019] The invention will now be further described with reference to the accompanying drawings.

[0020] like Figures 1-6 As shown, a system for analyzing and optimizing the power grid transmission capacity of high-proportion energy regions includes four research contents: assessment of the current status of new energy development in regional power grids, analysis of limiting factors for new energy transmission, planning model of regional power grid structure, and optimization of new energy transmission schemes in regional power grids.

[0021] The assessment of the current status of regional power grid renewable energy development includes an analysis of the source-load output characteristics of power grids in regions with a high proportion of renewable energy and an assessment of the current status of power balance. Based on the region's renewable energy development plan, regional characteristics, and power grid development trends, the current status of regional power grids with a high proportion of renewable energy is analyzed. Based on historical renewable energy data from typical regional power grids, as well as analysis of relevant data such as meteorological information, the renewable energy output characteristics of power grids in regions with a high proportion of renewable energy are summarized. Based on the historical renewable energy data and output characteristics of typical high-proportion renewable energy regional power grids, cluster analysis algorithms are used to divide typical scenarios, and combined with load output characteristics, the source-load superposition characteristics under different typical scenarios are analyzed. Multi-scenario simulation technology is used to analyze the power balance under typical scenarios such as winter and summer peak loads based on the source-load superposition output characteristics, and a preliminary power balance estimate is made. The assessment results can provide a data foundation and theoretical support for the analysis of renewable energy transmission limiting factors and the regional power grid planning model.

[0022] The analysis of limiting factors for renewable energy transmission includes the assessment of the renewable energy transmission capacity of regional power grids and the analysis of limiting factors. Based on the constructed typical operating scenarios of regional power grids, the time-series output variation characteristics are considered using the time series method and robust optimization method, while the stochastic output characteristics are considered using the semi-invariant method and equivalent power function method. A renewable energy time-series stochastic production simulation model is established to analyze the operating status of regional power grids with a high proportion of renewable energy and the level of renewable energy transmission under multiple typical scenarios. The renewable energy transmission capacity is jointly determined by three factors: the sending-end power grid, the receiving-end power grid, and the interconnection lines. These three factors are mutually coupled. The analysis examines the internal and external influencing factors such as regional power grid transmission and distribution requirements, grid structure, load capacity, renewable energy access, and grid operation, as well as their coupling relationships. Key indicators are formulated for quantitative evaluation, and a renewable energy transmission capacity assessment model is established. Based on renewable energy production simulation operation data and renewable energy transmission capacity assessment indicators, simulation, factor analysis, regression analysis, and expert experience methods are used to analyze the key limiting factors restricting renewable energy transmission from regional power grids with a high proportion of renewable energy, providing technical support for regional power grid planning models.

[0023] The regional power grid planning model includes planning for the regional power grid based on the characteristics of renewable energy output and its transmission capacity. Considering the impact of grid operation strategies on renewable energy transmission capacity and planning schemes, a two-layer planning model combining planning and operation is proposed. The upper-layer planning aims at renewable energy transmission capacity and optimizes the power grid structure, while the lower-layer planning aims at optimizing the economic and safety aspects of grid operation, formulating optimized operation control strategies under multiple scenarios. Through the coordination of planning and operation, the optimal planning scheme is obtained. The two-layer model for power grid planning in high-proportion renewable energy regions comprehensively considers the characteristics of renewable energy output and its transmission capacity. The objective function of the upper-layer model is the renewable energy transmission capacity, which is jointly determined by the grid structure and the grid operation status, with the grid operation status solved by the lower-layer model. The objective function of the lower-layer model includes the economic and safety indicators of grid operation. Through iterative optimization of the upper and lower-layer models, the optimal planning scheme under the conditions of safe and economical grid operation is obtained. The established two-layer power grid planning model is a strongly nonlinear mixed-integer programming model with multiple coupled variables and a large number of control variables, which is difficult to solve using traditional algorithms. Therefore, a combined algorithm is used for solving it. The upper-level model has complex control variables, including substation locations and power grid structure, which are solved using artificial intelligence methods. The lower-level model is an optimization scheduling problem, which is solved using traditional mathematical optimization methods. The combined algorithm fully leverages the advantages of artificial intelligence algorithms and traditional mathematical optimization methods, ensuring convergence and computational accuracy, and providing technical support for the optimization of new energy transmission schemes.

[0024] The optimization of regional power grid renewable energy transmission schemes includes the research and development and application of a regional power grid renewable energy transmission optimization system. Renewable energy transmission capacity is jointly determined by the power grid structure and its operating status. Based on the regional power grid structure planning model, a regional power grid renewable energy transmission optimization model with joint planning and operation optimization is established. By identifying and optimizing weak links in the power grid, problems such as backflow and voltage exceedance caused by a large number of renewable energy connections are alleviated. Energy storage and reactive power compensation devices are important equipment for improving system operating status. Through the coordinated optimization of energy storage, renewable energy grid-connected converters, reactive power compensation, and other equipment, the safe and economical operation level of the power grid can be improved. With the goal of maximizing renewable energy transmission and minimizing backflow and voltage exceedance, a regional power grid active-reactive-voltage coordinated optimization model is established to optimize and improve the renewable energy transmission capacity of the regional power grid. A typical topology is selected to establish a model. Based on the renewable energy transmission optimization model, a regional power grid renewable energy transmission capacity analysis and optimization system is developed and pilot applications are conducted.

[0025] Each research component follows a roadmap of "current situation analysis - simulation modeling - system development - pilot application." Through research on four aspects—assessment of the current status of renewable energy development in the regional power grid, analysis of limiting factors for renewable energy transmission, regional power grid planning model, and optimization of renewable energy transmission schemes—the system aims to assess and optimize the renewable energy transmission capacity of the regional power grid. This will improve transmission capacity while reducing backflow of power flow and voltage exceedances within the region, thereby enhancing the economic efficiency of power grid operation. The system can perform functions such as analyzing the output characteristics of renewable energy in the regional power grid and estimating power balance, assessing renewable energy transmission capacity, modeling and solving power grid planning, and optimizing renewable energy transmission schemes.

[0026] The embodiments described above are merely some, not all, embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the protection scope of the present invention.

Claims

1. A system for analyzing and optimizing the power grid transmission capacity of high-proportion energy regions, characterized in that: The research includes four aspects: assessment of the current status of new energy development in the regional power grid, analysis of limiting factors for new energy transmission, planning model of the regional power grid, and optimization of new energy transmission schemes in the regional power grid. The assessment of the current status of new energy development in regional power grids includes the analysis of the power output characteristics of power grids with high proportion of new energy sources and the assessment of the current status of power balance. It can provide a data foundation and theoretical support for the analysis of limiting factors for new energy transmission and the planning model of regional power grid structure. Analysis of limiting factors for renewable energy transmission includes assessment of the renewable energy transmission capacity of the regional power grid and analysis of limiting factors, providing technical support for the regional power grid planning model. The regional power grid planning model includes regional power grid planning based on the characteristics of new energy output and transmission capacity, providing technical support for optimizing new energy transmission schemes. Optimization of regional power grid renewable energy transmission schemes includes the research and development and application of regional power grid renewable energy transmission optimization systems; Each research topic follows the route of "current situation analysis - simulation modeling - system development - pilot application".

2. The system for analyzing and optimizing the power grid transmission capacity of high-proportion energy areas as described in claim 1, characterized in that: In the assessment of the current status of new energy development in regional power grids, the development status of high-proportion new energy power grids in the region is analyzed based on the region's new energy development plan, regional characteristics, and power grid development trends. Based on the analysis of historical data on renewable energy sources in typical regional power grids, as well as relevant data such as meteorological information, this paper summarizes the renewable energy output characteristics of power grids in regions with a high proportion of renewable energy sources. According to the historical renewable energy data and output characteristics of power grids in typical regions with a high proportion of renewable energy sources, a clustering analysis algorithm is used to classify typical scenarios. Combined with load output characteristics, the source-load superposition characteristics under different typical scenarios are analyzed. Using multi-scenario simulation technology, based on the source-load superposition output characteristics, the power balance under typical scenarios such as winter and summer peak loads is analyzed, and a preliminary power balance estimate is made.

3. The system for analyzing and optimizing the power grid transmission capacity of high-proportion energy areas as described in claim 2, characterized in that: In the analysis of limiting factors for renewable energy transmission, based on the constructed typical operating scenarios of regional power grids, the time series method and robust optimization method are used to consider the time-series output variation characteristics, and the semi-invariant method and equivalent power function method are used to consider the random output characteristics. A simulation model of renewable energy time-series stochastic production is established to analyze the operating status of regional power grids with a high proportion of renewable energy and the level of renewable energy transmission under multiple typical scenarios. The renewable energy transmission capacity is jointly determined by three factors: the sending-end power grid, the receiving-end power grid, and the interconnection line. These three factors are mutually coupled. The internal and external influencing factors such as regional power grid transmission and distribution requirements, power grid structure, load capacity, renewable energy access, and power grid operation, as well as their coupling relationships, are analyzed. Key indicators are formulated for quantitative evaluation, and a renewable energy transmission capacity assessment model is established. Based on renewable energy production simulation operation data and renewable energy transmission capacity assessment indicators, simulation, factor analysis, regression analysis, and expert experience methods are used to analyze the key limiting factors restricting renewable energy transmission from regional power grids with a high proportion of renewable energy.

4. The system for analyzing and optimizing the power grid transmission capacity of high-proportion energy areas as described in claim 3, characterized in that: In the regional power grid planning model, considering the impact of power grid operation strategies on renewable energy transmission capacity and planning schemes, a two-layer planning model combining planning and operation is proposed. The upper-layer planning aims at renewable energy transmission capacity and optimizes the power grid structure, while the lower-layer planning aims at optimizing the economic and safety aspects of power grid operation and formulates optimized operation control strategies under multiple scenarios. Through the coordination of planning and operation, the optimal planning scheme is obtained. The two-layer model for power grid planning in regions with high proportions of renewable energy comprehensively considers the output characteristics and transmission capacity of renewable energy. The objective function of the upper-layer model is the renewable energy transmission capacity, while the objective function of the lower-layer model includes the economic and safety indicators of power grid operation. Through iterative optimization of the upper and lower-layer models, the optimal planning scheme under the condition of satisfying the safe and economical operation of the power grid is obtained.

5. The system for analyzing and optimizing the power grid transmission capacity of high-proportion energy areas as described in claim 4, characterized in that: The upper-level model is solved using artificial intelligence methods, while the lower-level model is solved using traditional mathematical optimization methods. By combining artificial intelligence algorithms and traditional mathematical optimization methods, convergence and computational accuracy are guaranteed.

6. The system for analyzing and optimizing the power grid transmission capacity of high-proportion energy areas as described in claim 5, characterized in that: In optimizing the regional power grid's renewable energy transmission scheme, the renewable energy transmission capacity is jointly determined by the power grid structure and its operating status. Based on the regional power grid structure planning model, weak links in the power grid are identified and optimized. Through the coordinated optimization of equipment such as energy storage, renewable energy grid-connected converters, and reactive power compensation, the safe and economical operation level of the power grid is improved. With the goal of maximizing renewable energy transmission and minimizing backflow and voltage overruns, a coordinated optimization model of active power, reactive power, and voltage in the regional power grid is established to optimize and improve the renewable energy transmission capacity of the regional power grid.

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