Distributed generation siting and sizing with implementation feasibility analysis

被引：0

作者：

Eroshenko, Stanislav A. ^{[1
]}

Khalyasmaa, Alexandra I. ^{[1
]}

Dmitriev, Stepan A. ^{[1
]}

Pazderin, Andrey V. ^{[1
]}

Karpenko, Alexandr A. ^{[1
]}

机构：

[1] Ural Fed Univ, Ekaterinburg, Russia

来源：

2013 INTERNATIONAL CONFERENCE ON POWER, ENERGY AND CONTROL (ICPEC) | 2013年

关键词：

distributed generation; distribution network; genetic algorithm; indicative analysis; optimization;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper addresses the problem of distributed generation siting and sizing optimization with subsequent equipment configuration assessment. The proposed methodology is based on the combination of genetic algorithms and indicative analysis, which gives an opportunity to assess power system interaction with incident infrastructures and take into account technical, economical, regulatory, ecological and other criteria. Two-step algorithm implementation makes the decision process more flexible and comprehensive. The case study is provided for proposed approach verification.

引用

页码：717 / 721

页数：5

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