Reactive power optimization using evolutionary techniques: Differential Evolution and Particle Swarm

C. Ionescu, M. Eremia, C. Bulac
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引用次数: 7

Abstract

This paper presents the comparative application of two evolutionary algorithms: Differential Evolution (DE) and Particle Swarm Optimization (PSO) to the solution of reduction of the system losses and improvement of the system voltage profile by obtaining an efficient distribution of reactive power in an electric network and by handling voltage control problem. It can be achieved by varying the excitation of generators or the on-load tap changer positions of transformers. The feasibility, effectiveness and generic nature of both DE and PSO approaches investigated are exemplarily demonstrated on the IEEE 30 bus system. Comparisons were made between the two approaches in terms of the solution quality and convergence characteristics.
基于进化技术的无功优化:差分进化和粒子群
本文比较了差分进化算法(DE)和粒子群算法(PSO)两种进化算法在解决无功功率在电网中的有效分配和电压控制问题中降低系统损耗和改善系统电压分布的应用。它可以通过改变发电机的励磁或变压器的有载分接开关位置来实现。在ieee30总线系统上,研究了DE和PSO方法的可行性、有效性和通用性。比较了两种方法的解质量和收敛特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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