Multi-objective optimization for upgrading primary feeders with distributed generators from normally closed loop to mesh arrangement

被引：28

作者：

Chen, Tsai-Hsiang ^{[1
]}

Lin, En-Hsiao ^{[1
]}

Yang, Nien-Che ^{[2
]}

Hsieh, Ting-Yen ^{[1
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei 10607, Taiwan

[2] Yuan Ze Univ, Dept Elect Engn, Tao Yuan 32003, Taiwan

来源：

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2013年 / 45卷 / 01期

关键词：

Distributed generation; Primary feeder; Genetic algorithm; Multi-objective optimization; Normally closed loop; Mesh arrangement; GENETIC ALGORITHM; PLACEMENT; ALLOCATION; LOSSES;

D O I：

10.1016/j.ijepes.2012.09.017

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 presents a multi-objective evaluation approach for finding the optimal schemes for upgrading primary feeders with distributed generation resources (DGs) from normally closed loop to a mesh arrangement. To build a DG-friendly distribution system for the development of DGs, a genetic algorithm (GA) based approach has been proposed to solve this multi-objective optimization problem. The major objectives include improving the average voltage deviations, minimizing the total line losses and maximizing the possible installed capacity of DGs. Based on the given total installation capacity and location for DGs, two distinct planning strategies are discussed. The results show that the proper schemes for utilizing additional feeders are important to improve the voltage profile along feeders, to reduce the system power losses and maximize the possible installed capacity of DGs. The outcomes are of value to the upgrades and expansions of primary distribution systems and the implementation of sustainable development of renewable energy. (c) 2012 Elsevier Ltd. All rights reserved.

引用

页码：413 / 419

页数：7

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