基于改进粒子群算法的配电网综合运行优化

doi:10.16183/j.cnki.jsjtu.2017.08.001

摘要/Abstract

摘要： 在无功优化、分布式电源(DG)有功优化和网络重构协同的条件下，以有功网损最小为目标函数、多种电气限制和网络拓扑结构为约束条件建立了配电网综合运行优化模型；针对基本粒子群算法容易陷入局部最优、收敛速度慢等缺点，提出一种改进的粒子群(IPSO)算法，并将其用于求解配电网综合运行优化模型.结果表明，所建配电网综合运行优化模型能够同时优化补偿电容器投切容量、有载调压变压器变比、DG出力和网络开关状态，从而获得配电网的最佳运行状态.同时，通过IEEE 33节点配电网算例的仿真结果验证了配电网综合运行优化模型的有效性和IPSO算法的高效性.

关键词: , 配电网, 综合运行优化, 无功优化, 分布式电源有功优化, 网络重构

Abstract: The paper proposes a novel model of the comprehensive optimal dispatch of distribution network, the objective function is to minimize the active power losses and the constraints are various electrical conditions and the network topology. Basic particle swarm optimization algorithm has the shortcomings which are easy to fall into local optimum and slow to converge. In order to overcome the shortcomings, an improved particle swarm optimization algorithm is proposed, and it is applied to solve the model. Case studies are carried out on the IEEE 33bus distribution network, and the results show the effectiveness of the model and the high efficiency of the algorithm.

Key words: network reconfiguration, , distribution network, comprehensive optimal dispatch, reactive power optimization, distributed generation (DG) active power optimization

中图分类号:

TM 744

李珂，邰能灵，张沈习. 基于改进粒子群算法的配电网综合运行优化[J]. 上海交通大学学报（自然版）, 2017, 51(8): 897-902.

LI Ke,TAI Nengling,ZHANG Shenxi. Comprehensive Optimal Dispatch of Distribution Network Based on
Improved Particle Swarm Optimization Algorithm[J]. Journal of Shanghai Jiaotong University, 2017, 51(8): 897-902.

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