Two-stage dynamic reactive power optimization method based on PSO-SCA and graph theory assistance

Abstract

The invention discloses a two-stage dynamic reactive power optimization method based on PSO-SCA and graph theory assistance, and belongs to the field of dynamic reactive power optimization of power systems. According to the invention, in consideration of certain similarity between the second-stage dynamic reactive power optimization and the directed acyclic graph in the graph theory, the second-stage dynamic reactive power optimization based on graph theory assistance is provided, the problem of the second-stage dynamic reactive power optimization is solved by using the shortest path solving problem in the graph theory, the Dijkstra algorithm belonging to a greedy algorithm is adopted to search the shortest path, the situation that invalid propulsion exists in a dynamic planning method isovercome, the optimization efficiency is improved, and the calculation time is saved; and the problem that in actual power system operation, due to the fact that the load in the system changes constantly, static reactive power optimization cannot be used for accurate description, and in order to ensure safety and the like, the transformation ratio of the on-load voltage regulating transformer andthe capacity of a compensation capacitor cannot be frequently regulated, and the regulation times should be reduced as much as possible is solved.

Description

technical field [0001] The invention belongs to the field of dynamic reactive power optimization of power systems, and in particular relates to a two-stage dynamic reactive power optimization method using an improved particle swarm algorithm (PSO) perturbed by a sine-cosine algorithm (SCA) and the idea of ​​graph theory assistance. Background technique [0002] With the development of society, electricity consumption has increased dramatically. Since different devices have different requirements for reactive power, uneven distribution of reactive power in the system occurs, which will cause voltage fluctuations, which is not conducive to the safety and stability of the power system. Therefore, reactive power optimization of the power system is to reduce the network Effective measures to reduce operating loss and improve voltage qualification rate. [0003] Power system reactive power optimization is to optimize the operation of one or more performance indicators by adjustin...

AI Technical Summary

Problems solved by technology

Since different devices have different requirements for reactive power, uneven distribution of reactive power in the system occurs, which will cause voltage fluctuations, which is not conducive to the safety and stability of the power system. Therefore, reactive power optimization of the power system is to reduce the network Effective Measures for Running Loss and Improving Voltage Qualification Rate

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