Optimal distributed generation placement using hybrid technique

K. M. L. Prasanna, Amit Jain, R. J. R. Kumar
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引用次数: 10

Abstract

Incorporation of distributed generation (DG) units energized by renewable energy resources (especially wind and solar) at distribution level have generated a greater interest in the recent years. Power loss reduction and voltage profile improvement are the main concern for distributed generator integration. Most of the methods for optimal generation placement using analytical and particle swarm optimization (PSO), computes the active power injection such that the objective function is obtained. In this paper, a new hybrid technique has been proposed for placing distributed generation with optimal power injections on power distribution systems for loss reduction. The active power injection from distributed generator is obtained using particle swarm optimization and reactive power injection is obtained by summing up the reactive loads and losses of all the branches fed by the distributed generator. This hybrid technique has been tested on IEEE 33 bus system and results are presented.
基于混合技术的分布式电源优化配置
近年来,采用可再生能源(特别是风能和太阳能)发电的分布式发电机组在配电层面引起了更大的兴趣。降低功率损耗和改善电压分布是分布式发电机集成的主要问题。大多数发电机组优化配置方法采用解析优化和粒子群优化(PSO)方法,通过计算有功功率注入来获得目标函数。本文提出了一种新的混合技术,用于在配电系统中配置具有最优功率注入的分布式发电以降低损耗。采用粒子群算法求解分布式发电机的有功出力,将分布式发电机各支路的无功负荷和损耗相加得到分布式发电机的无功出力。该混合技术已在IEEE 33总线系统上进行了测试,并给出了测试结果。
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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