Distributed generation planning using differential evolution accounting voltage stability consideration

被引：104

作者：

Arya, L. D. ^{[2
]}

Koshti, Atul ^{[1
]}

Choube, S. C. ^{[3
]}

机构：

[1] Swami Vivekanand Coll Engn, Elect Engg Dept, Indore, MP, India

[2] Shri GS Inst Technol & Sci, Elect Engg Dept, Indore, MP, India

[3] Rajiv Gandhi Proudyogiki Vishwavidyalaya, Univ Inst Technol & Sci, Elect Engg Dept, Bhopal, MP, India

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2012年 / 42卷 / 01期

关键词：

Distributed generation; Multi-membered non-recombinative evolution strategy; Bare bones particle swarm optimization; Differential evolution; Incremental voltage; OPTIMIZATION; ALLOCATION; PLACEMENT; ENERGY;

D O I：

10.1016/j.ijepes.2012.04.011

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper describes a technique for selection of buses in a sub transmission system for location of distributed generation (DG) and determination of their optimum capacities by minimizing transmission losses. The buses have been selected based on incremental voltage (dV/dP) sensitivities. Line flow constraints have been accounted. Type-3 DG i.e. wind turbine along with induction generator has been considered for the study. Differential evolution (DE) has been used to evaluate the optimum DG capacity and results have been compared with those obtained using bare bones particle swarm optimization (BBPSO) and multi-membered non-recombinative (mu + lambda) evolution strategy (MMNRES). The developed algorithms have been implemented on standard 6-bus and 30-bus test systems. (C) 2012 Elsevier Ltd. All rights reserved.

引用

页码：196 / 207

页数：12

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