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RECONFIGURATION OF DISTRIBUTION NETWORKS BY META-HEURISTICS ALGORITHMS

Truong Quang Dang Khoa 1
Phan Thi Thanh Binh 1
Nguyen Minh Hieu 1
Volume & Issue: Vol. 10 No. 2 (2007) | Page No.: 13-20 | DOI: 10.32508/stdj.v10i2.2750
Published: 2007-02-28

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Copyright The Author(s) 2023. This article is published with open access by Vietnam National University, Ho Chi Minh city, Vietnam. This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0) which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. 

Abstract

In Power Systems, distribution networks really spend amount of power loss To reduce the power loss there are some solutions such as upgrading networks, setting capacitors at some places in networks, etc. This paper is concentrated on re-configuring networks to reduce power loss. This means looking for a optimal configuration to operate the distribution system. Some Heuristics search methods for optimization problems were proposed such as Heuristics, Genetics, Simulated Annealing. We proposed Ant Colony Search (ACS) and Hybrid ACS combining membership functions to achieve both the globe optimization and the fastest computing time. Results are examined on a typical distribution network and a feeder of Hochiminh Power Company.

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