基于随机权重的粒子群算法的串补配置优化

Optimization of Series Compensation Configuration Based on Random Weighting Particle Swarm Optimization Algorithm

输电线路中配置串补可以提高输电系统的输电容量,但如何配置合适的串补使得效果最佳是一项亟待解决的难题。本文提出一种基于随机权重的粒子群算法优化电力系统网络串补配置,首先研究电力系统中加入串补后的潮流计算,其次建立系统配置串补后的多目标潮流优化模型,最后利用随机权重的粒子群算法进行求解。在IEEE30节点输电系统仿真验证,通过配置合理的串补容量及选址后,系统电压质量和网损最优。本文有效解决了串补配置的定容选址问题,对今后的工作研究有一定参考价值。

Configuring series compensation in transmission lines can improve the transmission capacity of transmission systems,But how to configure appropriate series compensation to achieve the best effect is an urgent problem to be solved。This article proposes a particle swarm optimization algorithm based on random weights to optimize the configuration of power system network series compensation.Firstly,study the power flow calculation after adding series compensation in the power system;Secondly,the multi-objective power flow optimization model after series compensation of system configuration is established;Finally,the particle swarm optimization algorithm with random weight is used to solve the problem.Through simulation and verification of the IEEE30 node transmission system,the system voltage quality and network loss are optimized through reasonable configuration of series compensation capacity and location selection.This article effectively solves the problem of fixed capacity location selection for series compensation configuration,and has certain reference value for future work and research.This article effectively solves the problem of fixed capacity location selection for series compensation configuration,and has certain reference value for future work and research.