基于杂草算法的含分布式电源的配电网重构

Reconfiguration of the Distribution Network Containing Distributed Generators Based on Invasive Weed Optimization Algorithm

随着社会不断发展,保证供电的可靠性和质量的要求越来越高。分布式电源(Distributed Generator以下简称DG)接入配电网将直接改变潮流分布,而网络重构通过改变开关的开合状态以提高供电的可靠性和经济性。以降低网损和电压分布指数为目标,将杂草算法(Invasive Weed Optimization Algorithm以下简称IWO)、Pareto最优解理论和模糊决策理论相结合,提出了求解上述多目标模型的优化算法。并利用IEEE33节点系统进行仿真验证算法的有效性和实用性。

With continuous development of the society,there are more and more strict demand on the insurance of the reliability and quality of power supply. Access of distributed generators（ hereinafter referred to as DG） to the distribution network will directly change load distribution,and network reconfiguration can change the on-off status of switches to raise the reliability and economics of power supply. To reduce network loss and counterpoise voltage distribution index,this paper presents an optimization algorithm to solve above mentioned multi-objective model by combining the invasive weed optimization algorithm（ hereinafter referred to as IWO）,Pareto optimal solution theory and the theory of fuzzy decision. Furthermore,simulation through the IEEE33 node system is used to verify the effectiveness and practicability of the algorithm.