Optimal Placement and Sizing of Distributed Generation in Distribution Power System Based on Multi-Objective Harmony Search Algorithm

被引：0

作者：

Liu, Yuan ^{[1
]}

Li, Yunhua ^{[1
]}

Liu, Ke-yan ^{[2
]}

Sheng, Wanxing ^{[2
]}

机构：

[1] Beihang Univ, 37 Xuanyuan Rd, Beijing 100192, Peoples R China

[2] Elect Power Res Inst China, Beijing 100085, Peoples R China

来源：

PROCEEDINGS OF THE 2013 6TH IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS (RAM) | 2013年

基金：

中国国家自然科学基金;

关键词：

EVOLUTIONARY ALGORITHMS; OPTIMIZATION; DISPATCH;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This study deals with the optimal placement and sizing issue in distribution power system with distributed generation (DG). This issue is a sophisticated multi-objective optimization problem with constraints of investment and power system operation demands. In this paper, minimum power loss, minimum voltage deviation and maximal voltage stability margin are taken into account for the optimization of DG planning. To solve the comprehensive multi-objective optimization problem, a meta-heuristic searching algorithm harmony search (HS) is improved with the fast non-dominated sorting approach, which forms the novel intelligent optimization algorithm called multi-objective harmony search (MOHS). Simulation on IEEE 33-bus test system and comparisons with some other multi-objective evolutionary algorithms yield promising results for optimal placement and sizing of DG based on MOHS.

引用

页码：168 / 173

页数：6

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