Large model application system for energy power planning and intelligent optimization

Abstract

The invention provides a large model application system for energy power planning and intelligent optimization. The system comprises a data acquisition end and a model application end, the data acquisition end is used for acquiring, integrating and storing multi-dimensional electric power information of an electric power system; the model application end is used for intelligently planning and optimizing the power transmission of the power system based on the data acquired by the data acquisition end, so as to ensure the efficient utilization of power resources and the stability of the system; through multi-dimensional data integration and intelligent optimization, efficient distribution and stability guarantee of electric power resources are realized, and the flexibility and response capability of an electric power system are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of power management data processing systems, and in particular, to a large model application system for energy power planning and intelligent optimization. Background Art

[0002] With the continuous growth of global energy demand and the increasing complexity of power systems, traditional power planning and scheduling methods face many challenges, such as low resource utilization efficiency, imbalance between supply and demand matching, and insufficient cost control; at the same time, with the access of renewable energy and the increasing volatility of electricity demand, the power system requires more flexible and intelligent management means to ensure the efficient allocation of power resources and the stability of the system; therefore, it has become an urgent need to build a power management system that can integrate multi-dimensional data, achieve intelligent planning, and dynamic optimization.

[0003] Referring to relevant publicly disclosed technical solutions, the technology with the publication number CN114742397A proposes a power planning system based on an ECI regional model. The power planning system includes an electricity consumption database, a power data collection module, a power analysis module, and a power planning module; the electricity consumption database stores historical electricity consumption data in the electricity consumption area; the power data collection module is used to collect current electricity consumption data in the electricity consumption area; the power analysis module analyzes based on the current electricity consumption data and historical electricity consumption data in the electricity consumption area and outputs an analysis result; the power planning module conducts power planning for the electricity consumption area based on the analysis result; the power planning module includes an electricity consumption planning unit, an electricity consumption location planning unit, and an electricity price planning unit; this solution can implement a targeted power supply method according to different electricity consumption locations in the electricity consumption area to solve the problem of the single and insufficiently intelligent existing power planning method, resulting in a mismatch in power resource supply; however, this solution mainly relies on the analysis of historical and current electricity consumption data in the electricity consumption area, and does not consider the impact of multi-dimensional information such as transmission paths and power generation units on power dispatching and optimization, resulting in deficiencies in resource utilization and cost control, and lacking an emergency response processing plan in the case of abnormal electricity consumption. Summary of the Invention

[0004] The purpose of the present invention is to propose a large model application system for energy power planning and intelligent optimization in view of the current deficiencies.

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

[0006] A large model application system for energy power planning and intelligent optimization, the system includes a data acquisition end and a model application end; the data acquisition end is used to collect, integrate and store multi-dimensional power information of the power system; the model application end is used to intelligently plan and optimize the power transmission of the power system based on the data obtained from the data acquisition end to ensure the efficient use of power resources and the stability of the system.

[0007] The data acquisition end includes a multi-dimensional data acquisition module and an integration and storage module. The multi-dimensional data acquisition module is used to obtain 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 integration and storage module is used to organize and store all the information obtained by the multi-dimensional data acquisition module.

[0008] The model application end includes a cost assessment module, a scheduling optimization module and an emergency response module; the cost assessment module is used to evaluate the cost losses generated during power generation and power transmission; the scheduling optimization module is used to dynamically plan the power transmission paths of each power consumption area in combination with the power supply and demand situation in the power system and the cost assessment situation of power transmission; the emergency response module is used to dynamically adjust the power supply to the power consumption area with abnormal power consumption when an abnormal power consumption occurs in the power consumption area.

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

[0010] Further, 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 losses of power on different transmission paths; the economic cost calculation unit is used to evaluate the economic cost during power transmission; the environmental cost assessment unit is used to evaluate the environmental impact cost caused by each power generation unit during power generation.

[0011] Further, 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 on the premise of meeting the power supply and demand balance in the power system.

[0012] Further, the specific working process of the load balancing unit is as follows.

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

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

[0015] S13: According to the pre-set corresponding relationship between each electricity consumption area and multiple power generation units, conduct a preliminary matching of each electricity consumption area and power generation unit, determine the power supply source for each electricity consumption area, and ensure that the power supply of the multiple power generation units initially matched by each power generation unit is much greater than the electricity demand of this power generation unit.

[0016] Further, the specific working process of the path selection unit is as follows.

[0017] S21: For each power generation unit, set an evaluation period to evaluate the operation stability of the power generation unit; and within the evaluation period, combine the operation information of the power generation unit to evaluate the stability evaluation value of the power generation unit, and the stability evaluation value is used to indicate the reliability degree of the power generation unit.

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

[0019] S23: Based on the power supply priority between each electricity consumption area and each power generation unit, conduct power supply allocation and select the optimal power supply transmission path.

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

[0021] S231: For all electricity consumption areas, sort them according to the importance of the electricity consumption area, and sequentially perform the next-step processing on the electricity consumption area according to the importance sorting.

[0022] S232: For each electricity consumption area, sort the multiple power generation units initially matched by it according to their power supply priority, and sequentially select the power generation unit with the highest power supply priority to supply power to it: If the supply of a power generation unit can meet all the demand of this electricity consumption area, then supply all its demand by this power generation unit; If the supply of a power generation unit cannot meet all the demand of this electricity consumption area, then allocate all the remaining supply of this power generation unit, and continue to allocate the supply from the power generation unit with the next power supply priority until all the demand of this electricity consumption area is met.

[0023] S233: Detect whether there is an unmet power demand in the power consumption area; if the power demands of all power consumption areas are met, end the allocation process and output the power supply path in the power system at this time as the optimal power supply transmission path; if there is an unmet power demand in the power consumption area, perform the following operations on the power generation units with remaining supply.

[0024] S2331: Calculate the supply priority of each power generation unit with remaining supply and sort them, and sequentially perform the next-step processing on the power generation units with remaining supply according to the sorting; the calculation method of the supply priority is as follows:

[0025]

[0026] Among them, Q k is the supply priority of a power generation unit k with remaining supply, L k is the remaining supply of the power generation unit k, L max is a preset normalization coefficient for normalizing the remaining supply, R k is the stability evaluation value of the power generation unit k, R max is a preset normalization coefficient for normalizing the stability evaluation value; β1 is the influence weight of the remaining supply on the supply priority, and γ2 is the influence weight of the stability on the supply priority.

[0027] S2332: For each power generation unit with remaining supply, calculate the power supply priority between it and all power consumption areas with unmet power demands, and supply power to the power consumption areas with unmet demands in sequence according to the power supply priority until the power demands of all power consumption areas are met; when the power demands of all power consumption areas are met, end the allocation process at this time and output the power supply path in the power system at this time as the optimal power supply transmission path.

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

[0029] S31: Monitor the power consumption situation of each power consumption area. When it is detected that there is an abnormal power consumption in a power consumption area, perform the subsequent step operations on the power generation units with remaining supply at this time.

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

[0031] S33: Sort the emergency transmission priorities between all power generation units with remaining supply and the power consumption areas with abnormal power consumption, and sequentially select the power generation units with remaining supply to provide emergency power supply for the power consumption areas with abnormal power consumption until the power consumption demand of the power consumption areas is met.

[0032] Advantages achieved by the present invention:

[0033] Through the data acquisition terminal, the present invention comprehensively and real-time collects and integrates the power consumption information of each power consumption area, the power supply information of each power generation unit, and the transmission path information in the power system. Through the model application terminal, it intelligently plans and optimizes the power supply and demand, thereby ensuring the efficient allocation and utilization of power resources; in the dispatching optimization of the power system, by combining the power transmission cost and the operation stability of the power generation units, it dynamically plans the power supply path and power supply strategy, thereby minimizing the transmission loss and power supply cost, achieving the global optimal power resource allocation, and ensuring the stability and reliability of the power supply. Description of the Drawings

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

[0035] Figure 1 It is a schematic diagram of the overall module of the present invention.

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

[0037] Figure 3 It is a schematic diagram of the working process of the path selection unit of the present invention.

[0038] Figure 4 It is a schematic diagram of the working process of the emergency response module of the present invention. Detailed Embodiments

[0039] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with its embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention; for those skilled in the art, after referring to the following detailed description, other systems, methods and / or features of this embodiment will become obvious; it is intended that all such additional systems, methods, features and advantages are included in this specification; included within the scope of the present invention and protected by the appended claims; additional features of the disclosed embodiments are described in the following detailed description, and these features will be obvious according to the following detailed description.

[0040] In the 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 there are terms such as "upper", "lower", "left", "right", etc. indicating the orientation or positional relationship, they are based on the orientation or positional relationship shown in the drawings. This is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or component referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, the terms describing the positional relationship in the drawings are only for illustrative purposes and cannot be construed as a limitation of this patent. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to specific circumstances.

[0041] Embodiment 1:

[0042] As Figure 1 shown, this embodiment provides a large model application system for energy and power planning and intelligent optimization. The system includes a data acquisition end and a model application end; the data acquisition end is used to collect, integrate and store multi-dimensional power information of the power system; the model application end is used to intelligently plan and optimize the power transmission of the power system based on the data obtained from the data acquisition end to ensure the efficient utilization of power resources and the stability of the system.

[0043] The data acquisition end includes a multi-dimensional data acquisition module and an integration and storage module. The multi-dimensional data acquisition module is used to obtain 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 integration and storage module is used to organize and store all the information obtained by the multi-dimensional data acquisition module.

[0044] The model application end includes a cost assessment module, a scheduling optimization module, and an emergency response module; the cost assessment module is used to evaluate the cost losses generated during power generation and power transmission; the scheduling optimization module is used to dynamically plan the power transmission paths of each power consumption area in combination with the power supply and demand situation in the power system and the cost assessment situation of power transmission; the emergency response module is used to dynamically adjust the power supply to the power consumption area with abnormal power consumption when an abnormal power consumption occurs in the power consumption area.

[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 of each electricity consumption area; the power generation information acquisition unit is used to collect power supply information of 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, the location of the electricity consumption area and its social functions, economic impacts, 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 so-called 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 loss of electricity on different transmission paths; the economic cost calculation unit is used to evaluate the economic cost during the electricity transmission process; the environmental cost assessment unit is used to evaluate the environmental impact cost caused by each power generation unit during the power generation process.

[0047] Specifically, the cost assessment module can complete the assessment of cost losses through a variety of existing technologies, as shown below:

[0048] For the transmission loss assessment unit:

[0049] Obtain the basic parameters of each transmission path in the power system. The basic parameters of the transmission path include, but are not limited to, relevant parameters such as length, wire type, cross-sectional area, resistance, and voltage level; 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] Obtain the operation and maintenance costs of the transmission equipment in the power system and the power supply costs of the power generation units, and calculate the economic cost by accumulating the operation and maintenance costs and power supply costs on different power generation units and transmission paths.

[0052] For the environmental cost assessment unit:

[0053] Obtain the environmental pollution parameters emitted during the power generation of each power generation unit in the power system, and calculate and weighted integrate the environmental pollution emission parameters generated per unit of electric energy as 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 situations of each power consumption area; the path selection unit is used to select the optimal power transmission path on the premise of meeting the power supply and demand balance in the power system.

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

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

[0057] S12: According to all the information obtained in the previous step, predict the power consumption demand of each power 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: According to the pre-set corresponding relationship between each power consumption area and multiple power generation units, conduct a preliminary matching of each power consumption area and power generation unit, determine the power supply source of each power consumption area, and ensure that the power supply quantity of the multiple power generation units initially matched by each power generation unit is much greater than the power consumption demand of this power generation unit.

[0059] Furthermore, as Figure 3 shown, the specific working process of the path selection unit is as follows:

[0060] S21: For each power generation unit, set an evaluation period to evaluate the operation stability of the power generation unit; and combine the operation information of the power generation unit within the evaluation period to evaluate the stability evaluation value of the power generation unit, and the stability evaluation value is used to indicate the reliability degree of the power generation unit.

[0061] The specific calculation method of the stability evaluation value is as follows:

[0062] For a certain power generation unit j:

[0063]

[0064] where, R j is the stability evaluation value of power generation unit j, l is the number of operation failures of power generation unit j within the evaluation period, S k is the severity of the kth operation failure of power generation unit j within the evaluation period, which is quantitatively obtained through the specific failure information in the operation information of the power generation unit; ω k is the time weight of the kth operation failure, and for ω k it satisfies:

[0065]

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

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

[0068]

[0069] Among them, P ij is the power supply priority of power generation unit j to power consumption area i; W ij is the comprehensive performance coefficient when power generation unit j supplies power to power consumption area i; α1 is the comprehensive performance weight, α2 is the stability evaluation weight, and α1 and α2 are set through preliminary experiments; for W ij satisfies:

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

[0071] Among them, C ij is the loss cost when power generation unit j transmits power to power consumption area i; E ij is the economic cost when power generation unit j transmits power to power consumption area i; H j is the environmental impact cost of power generation unit j; β1 is the influence weight of transmission loss on the comprehensive performance, β2 is the influence weight of economic cost on the comprehensive performance, and β3 is the influence weight of environmental impact on the comprehensive performance.

[0072] S23: Based on the power supply priorities between each power consumption area and each power generation unit, perform power supply allocation and select the optimal power supply transmission path.

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

[0074] S231: For all power consumption areas, sort them according to the importance of the power consumption area, and sequentially perform the next-step processing on the power consumption areas according to the importance ranking; the importance of the power consumption area is preset by technicians according to its social function, economic impact, and load demand stability.

[0075] S232: For each power consumption area, sort the multiple power generation units initially matched for it according to their power supply priorities, and successively select the power generation unit with the highest power supply priority to supply power to it: If the supply quantity of a power generation unit can meet all the demand of this power consumption area, then supply all its demand with this power generation unit; If the supply quantity of a power generation unit does not meet all the demand of this power consumption area, then allocate all the remaining supply quantity of this power generation unit, and continue to allocate the supply quantity from the power generation units of the next power supply priority until all the demand of this power consumption area is met.

[0076] S233: Detect whether there is any unmet power consumption demand in the power consumption areas; If the power consumption demands of all power consumption areas are met, then end the allocation process and output the power supply path in the power system at this time as the optimal power supply transmission path; If there is any unmet power consumption demand in the power consumption areas, then perform the following operations on the power generation units with remaining supply quantity:

[0077] S2331: Calculate the supply priority of each power generation unit with remaining supply quantity and sort them, and successively perform the next-step processing on the power generation units with remaining supply quantity according to the sorting; The calculation method of the supply priority is as follows:

[0078]

[0079] Where, Q k is the supply priority of a power generation unit k with remaining supply quantity, L k is the remaining supply quantity of the power generation unit k, L max is the preset standardization coefficient for normalizing the remaining supply quantity, R k is the stability evaluation value of the power generation unit k, R max is the preset standardization coefficient for normalizing the stability evaluation value; γ1 is the influence weight of the remaining supply quantity on the supply priority, and γ2 is the influence weight of the stability on the supply priority.

[0080] S2332: For each power generation unit with remaining supply quantity, calculate the power supply priority between it and all the power consumption areas with unmet power consumption demands, and supply power to the power consumption areas with unmet demands successively according to the power supply priority until the power consumption demands of all power consumption areas are met; When the power consumption demands of all power consumption areas are met, then end the allocation process and output the power supply path in the power system at this time as the optimal power supply transmission path.

[0081] Furthermore, in this embodiment, the partial function implementation code of the path selection unit is as follows:

[0082]

[0083]

[0084]

[0085] In this solution, the data acquisition terminal comprehensively and real-time collects and integrates the electricity consumption information of each electricity consumption area, the power supply information of each power generation unit, and the transmission path information in the power system. The model application terminal conducts intelligent planning and optimization of power supply and demand, thereby ensuring the efficient allocation and utilization of power resources. In the dispatching optimization of the power system, by combining the power transmission cost and the operation stability of the power generation unit, the power supply path and power supply strategy are dynamically planned, so as to minimize the transmission loss and power supply cost, achieve the global optimal power resource allocation, and ensure the stability and reliability of power supply.

[0086] Embodiment 2:

[0087] This embodiment should be understood as including at least all the features of any one of the foregoing embodiments and being further improved on this basis;

[0088] This embodiment provides a large model application system for energy 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 the multi-dimensional power information of the power system. The model application terminal is used to conduct intelligent planning and optimization of the power transmission of the power system based on the data obtained from the data acquisition terminal 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 integration and storage module. The multi-dimensional data acquisition module is used to obtain the multi-dimensional power information in the power system. The multi-dimensional power information includes the electricity consumption information of each electricity consumption area, the power supply information of each power generation unit, and the transmission path information. The integration and storage module is used to organize and store all the information obtained by the multi-dimensional data acquisition module.

[0090] The model application terminal includes a cost evaluation module, a dispatching optimization module, and an emergency response module. The cost evaluation module is used to evaluate the cost loss generated during power generation and power transmission. The dispatching optimization module is used to dynamically plan the power transmission path of each electricity consumption area in combination with the power supply and demand situation in the power system and the cost evaluation situation of power transmission. The emergency response module is used to dynamically adjust the power supply to the electricity consumption area with abnormal electricity consumption when an abnormal electricity consumption occurs in the electricity consumption area.

[0091] Further, as Figure 4 shown, the specific working process of the emergency response module is as follows:

[0092] S31: Monitor the power consumption of each power consumption area. When it is detected that there is an abnormal power consumption in a power consumption area, the specific situation of the abnormal power consumption is a sudden increase in power demand or a power supply interruption. At this time, perform the subsequent step operations on the power generation units that currently have a remaining supply.

[0093] S32: Calculate the emergency transmission priority between all power generation units that currently have a remaining supply and the power consumption area with abnormal power consumption:

[0094]

[0095] Among them, Y l is the emergency transmission priority between a certain power generation unit l that currently has a remaining supply and the power consumption area with abnormal power consumption, L l is the remaining supply of power generation unit l, L max is a preset standardization coefficient for normalizing the remaining supply, R l is the stability evaluation value of power generation unit l, R max is a preset standardization coefficient for normalizing the stability evaluation value; V l is the transmission efficiency of power generation unit l for transmitting power to the power consumption area with abnormal power consumption; V max is a preset standardization coefficient for normalizing the transmission efficiency; δ1 is the influence weight of the remaining supply on the emergency transmission priority, δ2 is the influence weight of the stability on the emergency transmission priority, and δ3 is the influence weight of the response speed on the emergency transmission priority.

[0096] S33: Sort the emergency transmission priorities between all power generation units that currently have a remaining supply and the power consumption area with abnormal power consumption, and sequentially select the power generation units that currently have a remaining supply to provide emergency power supply to the power consumption area with abnormal power consumption until the power demand of the power consumption area is met.

[0097] This solution monitors the power consumption in real time, combines the remaining supply, operating stability and response speed of the power generation units, quickly calculates and sorts the emergency transmission priorities, so as to quickly and clearly prioritize the power supply adjustment in case of abnormal power consumption, thereby improving the flexibility and response efficiency of the power system, and ensuring the stability of power supply and the efficient utilization of resources under abnormal conditions.

[0098] The content disclosed above is only the preferred feasible embodiment of the present invention, and does not limit the protection scope of the present invention. Therefore, all equivalent technical changes made by using the content of the specification and drawings of the present invention are included in the protection scope of the present invention. In addition, the elements therein can be updated with the development of technology.

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 end and a model application end; the data acquisition end is used to collect, integrate and store multi-dimensional power information of the power system; the model application end is used to intelligently plan and optimize the power transmission of the power system based on the data obtained by the data acquisition end, 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, wherein the multi-dimensional data acquisition module is used to obtain 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 information obtained by the multi-dimensional data acquisition module; The model application end includes a cost assessment module, a scheduling optimization module and an emergency response module; the cost assessment module is used to assess the cost loss incurred during power generation and power transmission; the scheduling optimization module is used to dynamically plan the power transmission path of each power consumption area based on the power supply and demand situation in the power system and the cost assessment situation of power transmission; The emergency response module is used to dynamically adjust the power supply to the power consumption area with abnormal power consumption when abnormal power consumption occurs in the power consumption area.

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

3. According to claim 1, a large model application system for energy and power planning and intelligent optimization is 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 loss of electricity on different transmission paths; the economic cost assessment unit is used to assess the economic cost during the power transmission process; the environmental cost assessment unit is used to assess the environmental impact cost caused by each power generation unit to the environment during the power generation process.

4. According to claim 1, a large model application system for energy and power planning and intelligent optimization is 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. According to claim 1, a large model application system for energy and power planning and intelligent optimization is characterized in that: The specific working process of the load balancing unit is as follows: S11: Obtaining historical electricity consumption information of each electricity consumption area and historical power supply information of each power generation unit; S12: Based on all the information obtained in the previous step, the power demand of each power consumption area and the power supply capacity of each power generation unit are predicted through a prediction algorithm; S13: Based on the pre-set correspondence between each power consumption area and multiple power generation units, each power consumption area and the power generation unit are preliminarily matched to determine the power supply source of each power consumption area, and to ensure that the power supply of the multiple power generation units preliminarily matched by each power generation unit is much greater than the power demand of the power generation unit.

6. The large-scale model application system for energy and power planning and intelligent optimization according to claim 1 is characterized in that: The specific workflow of the path selection unit is as follows: S21: for each power generation unit, setting an evaluation period to evaluate the operation stability of the power generation unit; and evaluating the stability evaluation value of the power generation unit in combination with the operation information of the power generation unit within the evaluation period, wherein the stability evaluation value is used to indicate the reliability of the power generation unit; S22: For each power consumption area, the power supply priority between the power consumption area and multiple initially matched power generation units is calculated in combination with the power transmission cost and the reliability of the power generation unit: S23: Allocate power supply based on the power supply priority between each power consumption area and each power generation unit, and select the optimal power supply transmission path.

7. The large-scale model application system for energy and power planning and intelligent optimization according to claim 1 is characterized in that: The specific implementation process of step S23 is as follows: S231: sorting all power consumption areas according to their importance, and performing the next step of processing on the power consumption areas in order of importance; S232: For each power consumption area, sort the power supply priorities of multiple power generation units that are initially matched to it, and select the power generation unit with the highest power supply priority in turn to supply power to it: if there is a power generation unit whose supply can meet all the demand of the power consumption area, then all its demands will be supplied by the power generation unit; if there is a power generation unit whose supply cannot meet all the demand of the power consumption area, then allocate all the remaining supply of the power generation unit, and continue to allocate supply from the power generation unit with the next power supply priority until all the demand of the power consumption area is met; S233: Detect whether there is any power consumption area whose power demand is not met; if the power demand of all power consumption areas is met, then end the allocation process and output the power supply path in the power system at this time as the optimal power supply transmission path; if there is any power consumption area whose power demand is not met, perform the following operations on the power generation unit with surplus supply: S2331: Calculate and sort the supply priority of each power generation unit with surplus supply, and perform the next step processing on the power generation units with surplus supply in order according to the sorting; the calculation method of the supply priority is as follows: Among them, Q k is the supply priority of a power generation unit k with surplus supply, L k is the surplus supply of power generation unit k, L max is the preset standardization coefficient used to normalize the remaining supply, R k is the stable evaluation value of power generation unit k, R max is a preset standardization coefficient used to normalize the stability evaluation value; γ1 is the influence weight of the remaining supply on the supply priority, and γ2 is the influence weight of stability on the supply priority; S2332: For each power generation unit with surplus supply, calculate the power supply priority between it and all power consumption areas with unmet power demand, and supply power to the power consumption areas with unmet demand in order of power supply priority until the power demand of all power consumption areas is met; when the power demand of all power consumption areas is met, end the allocation process and output the power supply path in the power system at this time as the optimal power supply transmission path.

8. The large-scale model application system for energy and power planning and intelligent optimization according to claim 1 is characterized in that: The specific workflow of the emergency response module is as follows: S31: monitoring the power consumption of each power consumption area, and when abnormal power consumption is detected in a power consumption area, executing subsequent steps for the power generation unit with surplus supply; S32: Calculate the emergency transmission priority between all power generation units that currently have surplus supply and the power consumption areas with abnormal power consumption: S33: Sort the emergency transmission priorities between all power generation units that currently have surplus supply and the power consumption areas with abnormal power consumption, and select the power generation units that currently have surplus supply in order to provide emergency power supply to the power consumption areas with abnormal power consumption until the power demand of the power consumption areas is met.

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