Electric transmission line maintenance plan optimization method and system based on manifold learning

Abstract

The invention relates to an electric transmission line maintenance plan optimization method and system based on manifold learning. The method comprises the following steps: extracting state variable information of an electric transmission line, and performing a state evaluation and a risk assessment on the electric transmission line; combining a transmission line state evaluation result and a risk assessment model with a local operation and maintenance strategy library to make an operation and maintenance strategy; determining an optimization object, and building an operation and maintenance multi-objective optimization model of the electric transmission line; performing a dimensionality reduction solution on a decision variable in a mathematics model by adopting a multi-object manifold learning method, thus acquiring an optimized operation and maintenance strategy of the electric transmission line; and performing research and development on an operation and maintenance system of the electric transmission line to realize intelligence and high-efficiency generated by the operation and maintenance strategy. By adopting the electric transmission line maintenance plan optimization method and system based on manifold learning, the operation and maintenance strategy of the electric transmission line can be made optimally, and the economy, reliability and safety are improved.

Description

technical field [0001] The present invention relates to an optimization method and system, in particular to a method and system for optimizing transmission line maintenance plans based on manifold learning Background technique [0002] As the pace of my country's power grid construction accelerates, the traditional fault repair and regular operation and maintenance methods gradually have defects such as relatively insufficient operation and maintenance resources, extensive operation and maintenance management, and blind inspection and maintenance. In this context, a transmission line operation and maintenance method based on state evaluation and risk assessment was produced. This method divides operation and maintenance strategies into daily operation and maintenance, special operation and maintenance, and operation and maintenance strategies based on state quantity problems. Compared with traditional methods, This operation and maintenance method is more scientific, rationa...

AI Technical Summary

Problems solved by technology

Genetic algorithms and multi-objective particle swarm optimization often use the penalty function method to deal with constraints, and no suitable penalty factor selection method has been proposed, which has a certain degree of subjectivity, and the algorithm tends to converge to the local optimum prematurely, so that the optimal operation and maintenance plan cannot be found. Solution

Multi-objective mimicry physics cannot achieve fast convergence of the algorithm due to the limited dimensionality of the reduced decision variables

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