Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction

This paper presents an improved coyote optimization algorithm (ICOA) for the electric distribution network reconfiguration (EDNR) problem considering unbalanced load. ICOA is first developed by carrying out two improvements on two new solution generation mechanisms of original coyote optimization al...

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Tác giả chính:	Thuan Thanh Nguyen, Quyen Thi Nguyen, Thang Trung Nguyen
Định dạng:	journal-article
Ngôn ngữ:	en_US
Thông tin xuất bản:	2022
Chủ đề:	"Improved coyote optimization algorithm Reconfiguration Unbalanced electric distribution network Power loss"
Truy cập trực tuyến:	http://repository.vlu.edu.vn:443/handle/123456789/573
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spelling	oai:http:--repository.vlu.edu.vn-:123456789-5732022-11-02T08:21:41Z Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction Thuan Thanh Nguyen Quyen Thi Nguyen Thang Trung Nguyen "Improved coyote optimization algorithm Reconfiguration Unbalanced electric distribution network Power loss" This paper presents an improved coyote optimization algorithm (ICOA) for the electric distribution network reconfiguration (EDNR) problem considering unbalanced load. ICOA is first developed by carrying out two improvements on two new solution generation mechanisms of original coyote optimization algorithm (COA). In the first mechanism, ICOA has used the so-far best solution instead of the tendency solution like COA. In the second mechanism, a local search mechanism has been proposed to update the so-far best solution. ICOA determines opened switches in aim to minimize total power losses. In addition, a modified power flow (MPF) method based on the technique of backward/forward sweeps is proposed to solve power flow for unbalanced distribution system. The proposed MPF method has been highly accurate in comparison with the Power System Simulator/Advanced Distribution Engineering Productivity Tool software (PSS/ ADEPT). The ICOA together with COA, particle swarm optimization (PSO) and sunflower optimization (SFO) have been implemented on three systems including 25-node, 33-node and 69-node for comparison. As a result, ICOA has outperformed COA, PSO, SFO and other existing methods for the EDNR problem. Consequently, the combination of the proposed MPF method and ICOA for solving EDNR problem with unbalanced load can lead to high effectiveness 2022-11-02T01:21:41Z 2022-11-02T01:21:41Z 2021 journal-article http://repository.vlu.edu.vn:443/handle/123456789/573 10.1007/s00521-021-06175-4 en_US Neural Computing and Applications 0941-0643 1433-3058 application/pdf
institution	Trường Đại học Văn Lang
collection	DSpaceVLU
language	en_US
topic	"Improved coyote optimization algorithm Reconfiguration Unbalanced electric distribution network Power loss"
spellingShingle	"Improved coyote optimization algorithm Reconfiguration Unbalanced electric distribution network Power loss" Thuan Thanh Nguyen Quyen Thi Nguyen Thang Trung Nguyen Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction
description	This paper presents an improved coyote optimization algorithm (ICOA) for the electric distribution network reconfiguration (EDNR) problem considering unbalanced load. ICOA is first developed by carrying out two improvements on two new solution generation mechanisms of original coyote optimization algorithm (COA). In the first mechanism, ICOA has used the so-far best solution instead of the tendency solution like COA. In the second mechanism, a local search mechanism has been proposed to update the so-far best solution. ICOA determines opened switches in aim to minimize total power losses. In addition, a modified power flow (MPF) method based on the technique of backward/forward sweeps is proposed to solve power flow for unbalanced distribution system. The proposed MPF method has been highly accurate in comparison with the Power System Simulator/Advanced Distribution Engineering Productivity Tool software (PSS/ ADEPT). The ICOA together with COA, particle swarm optimization (PSO) and sunflower optimization (SFO) have been implemented on three systems including 25-node, 33-node and 69-node for comparison. As a result, ICOA has outperformed COA, PSO, SFO and other existing methods for the EDNR problem. Consequently, the combination of the proposed MPF method and ICOA for solving EDNR problem with unbalanced load can lead to high effectiveness
format	journal-article
author	Thuan Thanh Nguyen Quyen Thi Nguyen Thang Trung Nguyen
author_facet	Thuan Thanh Nguyen Quyen Thi Nguyen Thang Trung Nguyen
author_sort	Thuan Thanh Nguyen
title	Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction
title_short	Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction
title_full	Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction
title_fullStr	Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction
title_full_unstemmed	Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction
title_sort	optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction
publishDate	2022
url	http://repository.vlu.edu.vn:443/handle/123456789/573
work_keys_str_mv	AT thuanthanhnguyen optimalradialtopologyofelectricunbalancedandbalanceddistributionsystemusingimprovedcoyoteoptimizationalgorithmforpowerlossreduction AT quyenthinguyen optimalradialtopologyofelectricunbalancedandbalanceddistributionsystemusingimprovedcoyoteoptimizationalgorithmforpowerlossreduction AT thangtrungnguyen optimalradialtopologyofelectricunbalancedandbalanceddistributionsystemusingimprovedcoyoteoptimizationalgorithmforpowerlossreduction
_version_	1792767825177214976

Optimal radial topology of electric unbalanced and balanced distribution system using improved coyote optimization algorithm for power loss reduction

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