Genetic algorithm and simulation annealing in distribution network reconfiguration

Bing Da Zhang; Yu Jia Zhang; Wai Lok Chan

doi:10.1049/cp:20062216

Genetic algorithm and simulation annealing in distribution network reconfiguration

Bing Da Zhang, Yu Jia Zhang, Wai Lok Chan

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

The simulated annealing genetic algorithm (SAGA) is a kind of leadable random algorithm. It is on the basis of genetic algorithm (GA) and adopts simulated annealing algorithm (SA) locally. The distribution network reconfiguration is dealt with using SAGA in this paper. According to the characteristic of the network reconfiguration, some improvements are made to meliorate the convergence. The result shows that improved algorithm is faster and the feeder power losses of reconfigured network are smaller.

Original language	English
Title of host publication	7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)
Edition	523 CP
DOIs	https://doi.org/10.1049/cp:20062216
Publication status	Published - 1 Dec 2006
Event	7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006 - Hong Kong, Hong Kong Duration: 30 Oct 2006 → 2 Nov 2006

Conference

Conference	7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006
Country/Territory	Hong Kong
City	Hong Kong
Period	30/10/06 → 2/11/06

Keywords

Chromosome
Convergence speed
Distribution network reconfiguration
Feeder power losses
Fitness function
Genetic algorithm
Genetic operation
Population
Simulated annealing algorithm
Simulated annealing genetic algorithm

ASJC Scopus subject areas

Electrical and Electronic Engineering

More information

10.1049/cp:20062216

Cite this

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title = "Genetic algorithm and simulation annealing in distribution network reconfiguration",

abstract = "The simulated annealing genetic algorithm (SAGA) is a kind of leadable random algorithm. It is on the basis of genetic algorithm (GA) and adopts simulated annealing algorithm (SA) locally. The distribution network reconfiguration is dealt with using SAGA in this paper. According to the characteristic of the network reconfiguration, some improvements are made to meliorate the convergence. The result shows that improved algorithm is faster and the feeder power losses of reconfigured network are smaller.",

keywords = "Chromosome, Convergence speed, Distribution network reconfiguration, Feeder power losses, Fitness function, Genetic algorithm, Genetic operation, Population, Simulated annealing algorithm, Simulated annealing genetic algorithm",

author = "Zhang, {Bing Da} and Zhang, {Yu Jia} and Chan, {Wai Lok}",

year = "2006",

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doi = "10.1049/cp:20062216",

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booktitle = "7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)",

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Zhang, BD, Zhang, YJ & Chan, WL 2006, Genetic algorithm and simulation annealing in distribution network reconfiguration. in 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006). 523 CP edn, 7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006, Hong Kong, Hong Kong, 30/10/06. https://doi.org/10.1049/cp:20062216

Genetic algorithm and simulation annealing in distribution network reconfiguration. / Zhang, Bing Da; Zhang, Yu Jia; Chan, Wai Lok.
7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006). 523 CP. ed. 2006.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Genetic algorithm and simulation annealing in distribution network reconfiguration

AU - Zhang, Bing Da

AU - Zhang, Yu Jia

AU - Chan, Wai Lok

PY - 2006/12/1

Y1 - 2006/12/1

N2 - The simulated annealing genetic algorithm (SAGA) is a kind of leadable random algorithm. It is on the basis of genetic algorithm (GA) and adopts simulated annealing algorithm (SA) locally. The distribution network reconfiguration is dealt with using SAGA in this paper. According to the characteristic of the network reconfiguration, some improvements are made to meliorate the convergence. The result shows that improved algorithm is faster and the feeder power losses of reconfigured network are smaller.

AB - The simulated annealing genetic algorithm (SAGA) is a kind of leadable random algorithm. It is on the basis of genetic algorithm (GA) and adopts simulated annealing algorithm (SA) locally. The distribution network reconfiguration is dealt with using SAGA in this paper. According to the characteristic of the network reconfiguration, some improvements are made to meliorate the convergence. The result shows that improved algorithm is faster and the feeder power losses of reconfigured network are smaller.

KW - Chromosome

KW - Convergence speed

KW - Distribution network reconfiguration

KW - Feeder power losses

KW - Fitness function

KW - Genetic algorithm

KW - Genetic operation

KW - Population

KW - Simulated annealing algorithm

KW - Simulated annealing genetic algorithm

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U2 - 10.1049/cp:20062216

DO - 10.1049/cp:20062216

M3 - Conference article published in proceeding or book

SN - 0863412467

SN - 9780863412462

BT - 7th IET International Conference on Advances in Power System Control, Operation and Management (APSCOM 2006)

T2 - 7th IET International Conference on Advances in Power System Control, Operation and Management, APSCOM 2006

Y2 - 30 October 2006 through 2 November 2006

ER -

Genetic algorithm and simulation annealing in distribution network reconfiguration

Abstract

Conference

Keywords

ASJC Scopus subject areas

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