.png){kind=icon}
返回
Distributed generation planning using differential evolution accounting voltage stability consideration
.png){kind=icon}
PRE
AI
DOI：10.1016/j.ijepes.2012.04.011.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Distributed generation
Multi-membered non-recombinative evolution strategy
Bare bones particle swarm optimization
Differential evolution
Incremental voltage
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
5
论文数:
1.1W
被引数:
3.1W
机构
引用论文
Towards adaptive and integrated management paradigms to meet the challenges of water governance
.png){kind=icon}
PREAI
分享收藏
分享收藏Differential evolution algorithm with ensemble of parameters and mutation strategies具有参数集成和变异策略的差分进化算法
PREAI
分享收藏
查看更多内容