Power grid lightning stroke fault risk assessment method and system

By constructing a dynamic grid electrical model and a lightning strike failure risk assessment model, combined with bp neural network and simulation software, the problem of lack of systematicity and accuracy of traditional evaluation methods is solved, and a forward-looking assessment and prediction of the risk of lightning strike failure in the grid is achieved, which improves the safety and stability of the power grid.

CN119670442APending Publication Date: 2025-03-21XUANCHENG POWER SUPPLY OF ANHUI ELECTRIC POWER CORP
0 Cites 6 Cited by

Patent Information

Application Number
CN202411887922.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2025-03-21

AI Technical Summary

Technical Problem

Traditional grid lightning fault risk assessment methods lack systematicity and accuracy, and fail to fully consider the dynamic changes in the grid operation status and various influencing factors.

Method used

A dynamic grid electrical model considering the impact of load level and reactive power compensation is constructed, and a lightning fault risk assessment model is constructed based on the bp neural network, combining the two to simulate the grid operating status and fault risk under different lightning protection strategies.

Benefits of technology

It has achieved forward-looking assessment and prediction of the risk of lightning strike failure in the power grid, helping grid managers understand potential risks in advance and take preventive measures to improve the safety and stability of the power grid.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

The invention discloses a power grid lightning stroke fault risk assessment method and system, and relates to the technical field of risk assessment, and the method comprises the following steps: obtaining the operation parameters of a power grid region with dense lightning activities, and constructing a dynamic power grid electrical model considering the load level and reactive compensation influence; obtaining thunder and lightning data and power grid fault data of the current thunder and lightning activity dense power grid area; constructing a lightning stroke fault risk assessment model based on a bp neural network according to the lightning related data and the power grid fault related data; and combining output results of the lightning stroke fault risk assessment model and the dynamic power grid electrical model, simulating power grid operation states and fault risks under different lightning protection strategies, and obtaining a lightning stroke fault risk level. According to the invention, the dynamic power grid electrical model and the lightning stroke fault risk assessment model are constructed to predict and assess the future operation state and the lightning stroke fault risk of the power grid.
Need to check novelty before this filing date? Find Prior Art