A large-scale model application system for energy and power planning and intelligent optimization

Abstract

This invention provides a large-scale model application system for energy and power planning and intelligent optimization. The system includes a data acquisition terminal and a model application terminal. The data acquisition terminal is used to collect, integrate, and store multi-dimensional power information of the power system. The model application terminal is used to intelligently plan and optimize the power transmission of the power system based on the data acquired by the data acquisition terminal, ensuring the efficient utilization of power resources and the stability of the system. This invention achieves efficient allocation and stability assurance of power resources through multi-dimensional data integration and intelligent optimization, thereby improving the flexibility and responsiveness of the power system.

Description

Technical Field

[0001] This invention relates to the field of power management data processing system technology, and in particular to a large-scale model application system for energy and power planning and intelligent optimization. Background Technology

[0002] With the continuous growth of global energy demand and the increasing complexity of power systems, traditional power planning and dispatching methods face numerous challenges, such as low resource utilization efficiency, supply-demand imbalance, and insufficient cost control. At the same time, with the integration of renewable energy and the increasing volatility of electricity demand, power systems require more flexible and intelligent management methods to ensure the efficient allocation of power resources and system stability. Therefore, the construction of a power management system that can integrate multi-dimensional data and achieve intelligent planning and dynamic optimization has become an urgent need.

[0003] A review of publicly available technical solutions reveals that CN114742397A proposes a power planning system based on an ECI regional model. This system includes an electricity consumption database, a power data acquisition module, a power analysis module, and a power planning module. The electricity consumption database stores historical electricity consumption data within the electricity consumption area. The power data acquisition module collects current electricity consumption data for the area. The power analysis module analyzes the current and historical electricity consumption data and outputs the results. The power planning module performs power planning for the area based on the analysis results. The power planning module includes a power consumption planning unit, a power consumption location planning unit, and a power price planning unit. This solution can implement targeted power supply methods based on different power consumption locations within the area, addressing the problem of insufficient intelligence and supply mismatch in existing power planning methods. However, this solution relies heavily on historical and current electricity consumption data analysis within the area and does not consider the impact of multi-dimensional information on transmission paths and power generation units on power dispatch and optimization. This results in deficiencies in resource utilization and cost control, and a lack of emergency response solutions in case of abnormal electricity consumption. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of current systems by proposing a large-scale model application system for energy and power planning and intelligent optimization.

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

[0006] A large-scale model application system for energy and power planning and intelligent optimization is disclosed. The system includes a data acquisition terminal and a model application terminal. The data acquisition terminal is used to collect, integrate, and store multi-dimensional power information of the power system. The model application terminal is used to intelligently plan and optimize the power transmission of the power system based on the data acquired by the data acquisition terminal, so as to ensure the efficient utilization of power resources and the stability of the system.

[0007] The data acquisition terminal includes a multi-dimensional data acquisition module and an integrated storage module. The multi-dimensional data acquisition module is used to acquire multi-dimensional power information in the power system. The multi-dimensional power information includes power consumption information of each power consumption area, power supply information of each power generation unit, and transmission path information. The integrated storage module is used to organize and store all the information acquired by the multi-dimensional data acquisition module.

[0008] The model application includes a cost assessment module, a scheduling optimization module, and an emergency response module. The cost assessment module is used to assess the cost losses incurred during power generation and transmission. The scheduling optimization module is used to dynamically plan the power transmission path for each power consumption area by combining the power supply and demand situation in the power system and the cost assessment of power transmission. The emergency response module is used to dynamically adjust the power supply to the power consumption area when an abnormality occurs.

[0009] Furthermore, the data acquisition module includes an electricity consumption information acquisition unit, a power generation information acquisition unit, and a transmission path information acquisition unit; the electricity consumption information acquisition unit is used to collect electricity consumption information of each electricity consumption area; the power generation information acquisition unit is used to collect power supply information of each power generation unit; and the transmission path information acquisition unit is used to collect transmission path information in the power system.

[0010] Furthermore, the cost assessment module includes a transmission loss assessment unit, an economic cost assessment unit, and an environmental cost assessment unit; the transmission loss assessment unit is used to calculate the power loss along different transmission paths; the economic cost assessment unit is used to assess the economic cost of power transmission; and the environmental cost assessment unit is used to assess the environmental impact cost caused by each power generation unit during the power generation process.

[0011] Furthermore, the scheduling optimization module includes a load balancing unit and a path selection unit; the load balancing unit is used to analyze the power supply and demand situation of each power consumption area; the path selection unit is used to select the optimal power transmission path under the premise of satisfying the power supply and demand balance in the power system.

[0012] Furthermore, the specific workflow of the load balancing unit is as follows.

[0013] S11: Obtain historical electricity consumption information for each electricity consumption area and historical power supply information for each power generation unit.

[0014] S12: Based on all the information obtained in the previous step, predict the electricity demand of each electricity consumption area and the power supply capacity of each power generation unit through the prediction algorithm.

[0015] S13: Based on the pre-set correspondence between each power consumption area and multiple power generation units, perform preliminary matching between each power consumption area and power generation units, determine the power supply source for each power consumption area, and ensure that the power supply of multiple power generation units initially matched to each power generation unit is much greater than the power demand of that power generation unit.

[0016] Furthermore, the specific workflow of the path selection unit is as follows.

[0017] S21: For each power generation unit, an evaluation period is set to evaluate the operational stability of the power generation unit; and within the evaluation period, the stability evaluation value of the power generation unit is evaluated in conjunction with the operational information of the power generation unit, the stability evaluation value being used to indicate the reliability of the power generation unit.

[0018] S22: For each power consumption area, calculate the power supply priority between the power consumption area and the multiple initially matched power generation units, taking into account the power transmission cost and the reliability of the power generation unit.

[0019] S23: Power supply allocation is performed based on the power supply priority between each power consumption area and each power generation unit, and the optimal power transmission path is selected.

[0020] Furthermore, the specific implementation process of step S23 is as follows.

[0021] S231: For all power consumption areas, sort them according to their importance, and then proceed to the next step of processing for each power consumption area in order of importance.

[0022] S232: For each power consumption area, the power supply priority of the multiple power generation units initially matched is sorted, and the power generation unit with the highest power supply priority is selected to supply power to it in turn: if the supply of a power generation unit can meet the total demand of the power consumption area, then the total demand of the power consumption area is supplied by that power generation unit; if the supply of a power generation unit cannot meet the total demand of the power consumption area, then all the remaining supply of that power generation unit is allocated, and the supply continues to be allocated from the power generation units with the next power supply priority, until the total demand of the power consumption area is met.

[0023] S233: Detect whether there are any areas where the electricity demand is not being met; if the electricity demand of all areas is met, the allocation process ends and the power supply path in the power system at this time is output as the optimal power supply transmission path; if there are areas where the electricity demand is not met, perform the following operations for power generation units with remaining supply.

[0024] S2331: Calculate and sort the supply priority of each power generation unit with remaining supply, and then proceed to the next step for power generation units with remaining supply in order of sorting; the calculation method for the supply priority is as follows:

[0025]

[0026] Among them, Q k For a given power generation unit k with surplus supply, L is the supply priority. k L represents the remaining supply of electricity generated per unit k. max R is a pre-defined standardization coefficient used to normalize the surplus supply. k R is the stable evaluation value of the power generation unit k. max γ1 is the pre-defined standardized coefficient used to normalize the stability assessment value; β1 is the weight of the influence of the remaining supply on the supply priority, and γ2 is the weight of the influence of stability on the supply priority.

[0027] S2332: For each power generation unit with surplus supply, calculate its power supply priority with all unmet power consumption areas, and supply power to the unmet power consumption areas in order of power supply priority until the power consumption needs of all power consumption areas are met; when the power consumption needs of all power consumption areas are met, the allocation process ends and the power supply path in the power system at this time is output as the optimal power supply transmission path.

[0028] Furthermore, the specific workflow of the emergency response module is as follows.

[0029] S31: Monitor the power consumption of each power consumption area. When an abnormal power consumption is detected in a power consumption area, perform subsequent steps for the power generation unit with remaining power supply.

[0030] S32: Calculate the emergency transmission priority between all power generation units with current remaining supply and power consumption areas experiencing power consumption anomalies.

[0031] S33: Sort the emergency transmission priority between all power generation units with remaining supply and the power consumption areas experiencing power consumption anomalies, and select power generation units with remaining supply in order to provide emergency power supply to the power consumption areas experiencing power consumption anomalies until the power consumption areas meet their power consumption needs.

[0032] The beneficial effects achieved by this invention are as follows:

[0033] This invention comprehensively and in real-time collects and integrates electricity consumption information from various power-consuming areas in the power system, power supply information from various power generation units, and transmission path information through a data acquisition terminal. It then uses a model application terminal to intelligently plan and optimize power supply and demand, thereby ensuring the efficient allocation and utilization of power resources. Furthermore, by combining power transmission costs and the operational stability of power generation units in the power system's scheduling optimization, it dynamically plans power supply paths and strategies, thereby minimizing transmission losses and power supply costs, achieving globally optimal power resource allocation, and ensuring the stability and reliability of power supply. Attached Figure Description

[0034] The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the drawings are not necessarily drawn to scale, but rather the emphasis is on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0035] Figure 1 This is a schematic diagram of the overall modules of the present invention.

[0036] Figure 2 This is a schematic diagram of the working process of the load balancing unit of the present invention.

[0037] Figure 3 This is a schematic diagram of the workflow of the path selection unit of the present invention.

[0038] Figure 4 This is a schematic diagram of the workflow of the emergency response module of the present invention. Detailed Implementation

[0039] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to its embodiments. It should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the present invention. Other systems, methods, and / or features of this embodiment will become apparent to those skilled in the art after reviewing the following detailed description. It is intended that all such additional systems, methods, features, and advantages are included within this specification, are included within the scope of the present invention, and are protected by the appended claims. Further features of the disclosed embodiments are described in the following detailed description, and these features will be apparent from the following detailed description.

[0040] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or component referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present patent. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0041] Example 1:

[0042] like Figure 1 As shown in the figure, this embodiment provides a large-scale model application system for energy and power planning and intelligent optimization. The system includes a data acquisition terminal and a model application terminal. The data acquisition terminal is used to collect, integrate and store multi-dimensional power information of the power system. The model application terminal is used to intelligently plan and optimize the power transmission of the power system based on the data acquired by the data acquisition terminal, so as to ensure the efficient utilization of power resources and the stability of the system.

[0043] The data acquisition terminal includes a multi-dimensional data acquisition module and an integrated storage module. The multi-dimensional data acquisition module is used to acquire multi-dimensional power information in the power system. The multi-dimensional power information includes power consumption information of each power consumption area, power supply information of each power generation unit, and transmission path information. The integrated storage module is used to organize and store all the information acquired by the multi-dimensional data acquisition module.

[0044] The model application includes a cost assessment module, a scheduling optimization module, and an emergency response module. The cost assessment module is used to assess the cost losses incurred during power generation and transmission. The scheduling optimization module is used to dynamically plan the power transmission path for each power consumption area by combining the power supply and demand situation in the power system and the cost assessment of power transmission. The emergency response module is used to dynamically adjust the power supply to the power consumption area when an abnormality occurs.

[0045] The data acquisition module includes an electricity consumption information acquisition unit, a power generation information acquisition unit, and a transmission path information acquisition unit. The electricity consumption information acquisition unit is used to collect electricity consumption information for each electricity consumption area. The power generation information acquisition unit is used to collect power supply information for each power generation unit. The transmission path information acquisition unit is used to collect transmission path information in the power system. The electricity consumption information includes, but is not limited to, historical electricity consumption data, real-time electricity consumption data, location of the electricity consumption area and its social function, economic impact, and load demand stability information. The power supply information includes, but is not limited to, the operation information of the power generation unit, power supply capacity information, power supply cost information, power supply type and energy source information, and pollution information during the power supply process. The transmission path information includes, but is not limited to, basic parameter information of the transmission path, operation and maintenance cost information of the transmission equipment, and transmission efficiency information of the transmission path.

[0046] The cost assessment module includes a transmission loss assessment unit, an economic cost assessment unit, and an environmental cost assessment unit. The transmission loss assessment unit is used to calculate the power loss along different transmission paths. The economic cost assessment unit is used to assess the economic cost of power transmission. The environmental cost assessment unit is used to assess the environmental impact cost caused by each power generation unit during the power generation process.

[0047] Specifically, the cost assessment module can assess cost losses using various existing technologies, as shown in the following examples:

[0048] For the transmission loss assessment unit:

[0049] Obtain the basic parameters of each transmission path in the power system, including but not limited to length, conductor type, cross-sectional area, resistance, voltage level, and other relevant parameters; and use Ohm's law and related power loss formulas to calculate the loss cost of each transmission path.

[0050] For the economic cost assessment unit:

[0051] The system obtains the operation and maintenance costs of transmission equipment and the power supply costs of power generation units in the power system, and calculates the economic cost by summing the operation and maintenance costs and power supply costs of different power generation units and transmission paths.

[0052] For environmental cost assessment units:

[0053] The environmental pollution parameters emitted by each power generation unit in the power system during power generation are obtained, and the environmental pollution emission parameters generated by each unit of electricity are calculated and weighted to form the environmental impact cost.

[0054] Furthermore, the scheduling optimization module includes a load balancing unit and a path selection unit; the load balancing unit is used to analyze the power supply and demand situation of each power consumption area; the path selection unit is used to select the optimal power transmission path under the premise of satisfying the power supply and demand balance in the power system.

[0055] Further, such as Figure 2 As shown, the specific working process of the load balancing unit is as follows:

[0056] S11: Obtain historical electricity consumption information for each electricity consumption area and historical power supply information for each power generation unit.

[0057] S12: Based on all the information obtained in the previous step, predict the electricity demand of each electricity consumption area and the power supply capacity of each power generation unit through a prediction algorithm; the prediction algorithm can be the LSTM deep learning model or the ARIMA time series model in the prior art, which will not be elaborated here.

[0058] S13: Based on the pre-set correspondence between each power consumption area and multiple power generation units, perform preliminary matching between each power consumption area and power generation units, determine the power supply source for each power consumption area, and ensure that the power supply of multiple power generation units initially matched to each power generation unit is much greater than the power demand of that power generation unit.

[0059] Further, such as Figure 3 As shown, the specific workflow of the path selection unit is as follows:

[0060] S21: For each power generation unit, an evaluation period is set to evaluate the operational stability of the power generation unit; and within the evaluation period, the stability evaluation value of the power generation unit is evaluated in conjunction with the operational information of the power generation unit, the stability evaluation value being used to indicate the reliability of the power generation unit.

[0061] The specific calculation method for the stability assessment value is as follows:

[0062] For a given power generation unit j:

[0063]

[0064] Among them, R j Let S be the stability assessment value of power generation unit j, l be the number of operational failures of power generation unit j within the assessment period, and S be the value of the stability assessment value of power generation unit j. k To assess the severity of the k-th operational failure occurring in power generation unit j within a cycle, the severity is quantified using specific failure information from the power generation unit's operational data; ω k Let ω be the time weight of the k-th running failure. k satisfy:

[0065]

[0066] Among them, T k γ is the time interval between the time of the kth failure and the current time; γ is the time decay coefficient, used to adjust the influence of the time interval on the time weight, which is set through pre-experimentation.

[0067] S22: For each power consumption area, considering power transmission costs and the reliability of power generation units, calculate the power supply priority between the power consumption area and the multiple initially matched power generation units:

[0068]

[0069] Among them, P ij The power supply priority between power generation unit j and power consumption area i; W ij α1 is the comprehensive performance coefficient when power generation unit j supplies power to power consumption area i; α2 is the comprehensive performance weight and α1 is the stability evaluation weight, which are set through pre-experimentation; for W ij satisfy:

[0070] W ij =β1·C ij +β2·E ij +β3·H j ;

[0071] Among them, C ij E represents the cost of power generation unit j transmitting electricity to power consumption area i. ij The economic cost of transmitting electricity from power generation unit j to power consumption area i; H j β1 represents the environmental impact cost per unit of power generation (j); β2 represents the weight of transmission loss on overall performance; β3 represents the weight of economic cost on overall performance; and β4 represents the weight of environmental impact on overall performance.

[0072] S23: Power supply allocation is performed based on the power supply priority between each power consumption area and each power generation unit, and the optimal power transmission path is selected.

[0073] Furthermore, the specific implementation process of step S23 is as follows:

[0074] S231: For all power consumption areas, sort them according to their importance, and proceed to the next step of processing for each power consumption area in order of importance; the importance of the power consumption area is preset by technicians based on its social function, economic impact and load demand stability.

[0075] S232: For each power consumption area, the power supply priority of the multiple power generation units initially matched is sorted, and the power generation unit with the highest power supply priority is selected to supply power to it in turn: if the supply of a power generation unit can meet the total demand of the power consumption area, then the total demand of the power consumption area is supplied by that power generation unit; if the supply of a power generation unit cannot meet the total demand of the power consumption area, then all the remaining supply of that power generation unit is allocated, and the supply continues to be allocated from the power generation units with the next power supply priority, until the total demand of the power consumption area is met.

[0076] S233: Detect whether there are any areas where the electricity demand is not being met; if the electricity demand of all areas is met, end the allocation process and output the power supply path in the power system at this time as the optimal power transmission path; if there are areas where the electricity demand is not met, perform the following operations for power generation units with remaining supply:

[0077] S2331: Calculate and sort the supply priority of each power generation unit with remaining supply, and then proceed to the next step for power generation units with remaining supply in order of sorting; the calculation method for the supply priority is as follows:

[0078]

[0079] Among them, Q k For a given power generation unit k with surplus supply, L is the supply priority. k L represents the remaining supply of electricity generated per unit k. max R is a pre-defined standardization coefficient used to normalize the surplus supply. k R is the stable evaluation value of the power generation unit k. max γ1 is the pre-defined standardized coefficient used to normalize the stability assessment value; γ2 is the weight of the influence of remaining supply on supply priority; and γ3 is the weight of the influence of stability on supply priority.

[0080] S2332: For each power generation unit with surplus supply, calculate its power supply priority with all unmet power consumption areas, and supply power to the unmet power consumption areas in order of power supply priority until the power consumption needs of all power consumption areas are met; when the power consumption needs of all power consumption areas are met, the allocation process ends and the power supply path in the power system at this time is output as the optimal power supply transmission path.

[0081] Furthermore, in this embodiment, the code implementing some functions of the path selection unit is as follows:

[0082]

[0083]

[0084]

[0085] This solution comprehensively and in real-time collects and integrates electricity consumption information from various power-consuming areas in the power system, power supply information from various power generation units, and transmission path information through a data acquisition terminal. Through a model application terminal, it intelligently plans and optimizes power supply and demand, thereby ensuring the efficient allocation and utilization of power resources. By combining power transmission costs and the operational stability of power generation units in the power system's dispatch optimization, it dynamically plans power supply paths and strategies, thereby minimizing transmission losses and power supply costs, achieving globally optimal power resource allocation, and ensuring the stability and reliability of power supply.

[0086] Example 2:

[0087] This embodiment should be understood to include at least all the features of any of the foregoing embodiments, and to further improve upon them;

[0088] This embodiment provides a large-scale model application system for energy and power planning and intelligent optimization. The system includes a data acquisition terminal and a model application terminal. The data acquisition terminal is used to collect, integrate, and store multi-dimensional power information of the power system. The model application terminal is used to intelligently plan and optimize the power transmission of the power system based on the data acquired by the data acquisition terminal, so as to ensure the efficient utilization of power resources and the stability of the system.

[0089] The data acquisition terminal includes a multi-dimensional data acquisition module and an integrated storage module. The multi-dimensional data acquisition module is used to acquire multi-dimensional power information in the power system. The multi-dimensional power information includes power consumption information of each power consumption area, power supply information of each power generation unit, and transmission path information. The integrated storage module is used to organize and store all the information acquired by the multi-dimensional data acquisition module.

[0090] The model application includes a cost assessment module, a scheduling optimization module, and an emergency response module. The cost assessment module is used to assess the cost losses incurred during power generation and transmission. The scheduling optimization module is used to dynamically plan the power transmission path for each power consumption area by combining the power supply and demand situation in the power system and the cost assessment of power transmission. The emergency response module is used to dynamically adjust the power supply to the power consumption area when an abnormality occurs.

[0091] Further, such as Figure 4 As shown, the specific workflow of the emergency response module is as follows:

[0092] S31: Monitor the power consumption of each power consumption area. When an abnormal power consumption is detected in a power consumption area, specifically a sudden increase in power demand or a power outage, the subsequent steps are performed on the power generation unit with remaining supply.

[0093] S32: Calculate the emergency transmission priority between all power generation units with current remaining supply and power consumption areas experiencing power outages:

[0094]

[0095] Among them, Y l L represents the emergency transmission priority between a power generation unit l with a current surplus supply and a power consumption area experiencing an anomaly. l L represents the surplus supply of power generation unit l. max R is a pre-defined standardization coefficient used to normalize the surplus supply. l R is the stable assessment value of the power generation unit l. max V is a pre-defined standardized coefficient used to normalize the stability evaluation values; l The transmission efficiency of power from a power generation unit (l) to an area experiencing power consumption anomalies; V max δ1 is the pre-defined normalization coefficient used to normalize transmission efficiency; δ2 is the weight of the remaining supply on emergency transmission priority; δ3 is the weight of the stability on emergency transmission priority; and δ4 is the weight of the response speed on emergency transmission priority.

[0096] S33: Sort the emergency transmission priority between all power generation units with remaining supply and the power consumption areas experiencing power consumption anomalies, and select power generation units with remaining supply in order to provide emergency power supply to the power consumption areas experiencing power consumption anomalies until the power consumption areas meet their power consumption needs.

[0097] This solution monitors electricity consumption in real time and, combined with the remaining supply, operational stability, and response speed of power generation units, quickly calculates and prioritizes emergency transmission. This allows for rapid and prioritized power supply adjustments in the event of abnormal electricity demand, thereby improving the flexibility and efficiency of the power system and ensuring the stability of power supply and the efficient use of resources under abnormal conditions.

[0098] The content disclosed above is only a preferred and feasible embodiment of the present invention, and is not intended to limit the scope of protection of the present invention. Therefore, all equivalent technical changes made based on the content of the present invention specification and drawings are included within the scope of protection of the present invention. Furthermore, the elements therein can be updated as technology develops.

Claims

1. A large-scale model application system for energy and power planning and intelligent optimization, characterized in that, The system includes a data acquisition terminal and a model application terminal; the data acquisition terminal is used to collect, integrate and store multi-dimensional power information of the power system; the model application terminal is used to intelligently plan and optimize the power transmission of the power system based on the data acquired by the data acquisition terminal, so as to ensure the efficient use of power resources and the stability of the system. The data acquisition terminal includes a multi-dimensional data acquisition module and an integrated storage module. The multi-dimensional data acquisition module is used to acquire multi-dimensional power information in the power system. The multidimensional power information includes power consumption information for each power consumption area, power supply information for each power generation unit, and transmission path information; the integrated storage module is used to organize and store all the information acquired by the multidimensional data acquisition module. The model application includes a cost assessment module, a scheduling optimization module, and an emergency response module. The cost assessment module is used to assess the cost losses incurred during power generation and power transmission. The scheduling optimization module is used to dynamically plan the power transmission path for each power consumption area by combining the power supply and demand situation in the power system and the cost assessment of power transmission. The emergency response module is used to dynamically adjust the power supply to the power consumption area when an abnormality occurs; the scheduling optimization module includes a load balancing unit and a path selection unit. The specific workflow of the path selection unit is as follows: S21: For each power generation unit, an evaluation period is set to evaluate the operational stability of the power generation unit; and within the evaluation period, the stability evaluation value of the power generation unit is evaluated in conjunction with the operational information of the power generation unit, the stability evaluation value being used to indicate the reliability of the power generation unit. S22: For each power consumption area, considering power transmission costs and the reliability of power generation units, calculate the power supply priority between the power consumption area and the multiple initially matched power generation units: S23: Power supply allocation is performed based on the power supply priority between each power consumption area and each power generation unit, and the optimal power transmission path is selected; The specific implementation process of step S23 is as follows: S231: For all power consumption areas, sort them according to their importance, and then proceed to the next step of processing for each power consumption area in order of importance. S232: For each power consumption area, the power supply priority of the multiple power generation units initially matched is sorted, and the power generation unit with the highest power supply priority is selected to supply power to it in turn: if the supply of a power generation unit can meet the total demand of the power consumption area, then the total demand of the power consumption area is supplied by that power generation unit; if the supply of a power generation unit cannot meet the total demand of the power consumption area, then all the remaining supply of that power generation unit is allocated, and the supply continues to be allocated from the power generation units with the next power supply priority, until the total demand of the power consumption area is met. S233: Detect whether there are any areas where the electricity demand is not being met; if the electricity demand of all areas is met, end the allocation process and output the power supply path in the power system at this time as the optimal power transmission path; if there are areas where the electricity demand is not met, perform the following operations for power generation units with remaining supply: S2331: Calculate and sort the supply priority of each power generation unit with remaining supply, and then proceed to the next step for power generation units with remaining supply in order of sorting; the calculation method for the supply priority is as follows: ； in, For a power generation unit with surplus supply Supply priority For power generation units The remaining supply, These are the pre-defined standardization coefficients used to normalize the surplus supply. For power generation units The stable evaluation value, These are the pre-defined standardized coefficients used to normalize the stable evaluation values; The weight of the impact of remaining supply on supply priority. Weighting the impact of stability on supply priority; S2332: For each power generation unit with surplus supply, calculate its power supply priority with all unmet power consumption areas, and supply power to the unmet power consumption areas in order of power supply priority until the power consumption needs of all power consumption areas are met; when the power consumption needs of all power consumption areas are met, the allocation process ends and the power supply path in the power system at this time is output as the optimal power supply transmission path.

2. The large-scale model application system for energy and power planning and intelligent optimization according to claim 1, characterized in that, The data acquisition module includes an electricity consumption information acquisition unit, a power generation information acquisition unit, and a transmission path information acquisition unit; the electricity consumption information acquisition unit is used to collect electricity consumption information for each electricity consumption area. The power generation information acquisition unit is used to collect power supply information from each power generation unit; The transmission path information acquisition unit is used to collect transmission path information in the power system.

3. The large-scale model application system for energy and power planning and intelligent optimization according to claim 1, characterized in that, The cost assessment module includes a transmission loss assessment unit, an economic cost assessment unit, and an environmental cost assessment unit. The transmission loss assessment unit is used to calculate the power loss along different transmission paths. The economic cost assessment unit is used to assess the economic cost of power transmission. The environmental cost assessment unit is used to assess the environmental impact cost caused by each power generation unit during the power generation process.

4. The large-scale model application system for energy and power planning and intelligent optimization according to claim 1, characterized in that, The scheduling optimization module includes a load balancing unit and a path selection unit; the load balancing unit is used to analyze the power supply and demand situation of each power consumption area; the path selection unit is used to select the optimal power transmission path under the premise of satisfying the power supply and demand balance in the power system.

5. The large-scale model application system for energy and power planning and intelligent optimization according to claim 1, characterized in that, The specific workflow of the load balancing unit is as follows: S11: Obtain historical electricity consumption information for each electricity consumption area and historical power supply information for each power generation unit; S12: Based on all the information obtained in the previous step, predict the electricity demand of each electricity consumption area and the power supply capacity of each power generation unit through the prediction algorithm; S13: Based on the pre-set correspondence between each power consumption area and multiple power generation units, perform preliminary matching between each power consumption area and power generation units, determine the power supply source for each power consumption area, and ensure that the power supply of multiple power generation units initially matched to each power generation unit is much greater than the power demand of that power generation unit.

6. The large-scale model application system for energy and power planning and intelligent optimization according to claim 1, characterized in that, The specific workflow of the emergency response module is as follows: S31: Monitor the power consumption of each power consumption area. When an abnormal power consumption is detected in a power consumption area, perform subsequent steps for the power generation unit with remaining power supply. S32: Calculate the emergency transmission priority between all power generation units with current remaining supply and power consumption areas experiencing power outages: S33: Sort the emergency transmission priority between all power generation units with remaining supply and the power consumption areas experiencing power consumption anomalies, and select power generation units with remaining supply in order to provide emergency power supply to the power consumption areas experiencing power consumption anomalies until the power consumption areas meet their power consumption needs.

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