A jumping gene GA for multi-objective voltage control

H. M. Ma; K. F. Man

doi:10.1109/ICIT.2008.4608408

A jumping gene GA for multi-objective voltage control

H. M. Ma
, K. F. Man

City University of Hong Kong

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

This paper presents a new flexible voltage control strategy. The optimal voltage control is considered a multi-objective problem. A set of feasible solutions saved as Pareto frontier is searched by the jumping gene EA. Based on the solution set, a multiple criteria decision making technique is used to select a suitable one which is applied as the finial on-line solution under different preferences. This strategy was tested on the New England 39 buses power system. ©2008 IEEE.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Industrial Technology
DOIs	https://doi.org/10.1109/ICIT.2008.4608408
Publication status	Published - 2008
Event	2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 - Chengdu, China Duration: 21 Apr 2008 → 24 Apr 2008 https://ieeexplore.ieee.org/xpl/conhome/4599586/proceeding

Conference

Conference	2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008
Place	China
City	Chengdu
Period	21/04/08 → 24/04/08
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4599586/proceeding

Research Keywords

Evolution algorithm
Jumping gene
Multiple criteria decision making
Voltage control

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10.1109/ICIT.2008.4608408

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title = "A jumping gene GA for multi-objective voltage control",

abstract = "This paper presents a new flexible voltage control strategy. The optimal voltage control is considered a multi-objective problem. A set of feasible solutions saved as Pareto frontier is searched by the jumping gene EA. Based on the solution set, a multiple criteria decision making technique is used to select a suitable one which is applied as the finial on-line solution under different preferences. This strategy was tested on the New England 39 buses power system. {\textcopyright}2008 IEEE.",

keywords = "Evolution algorithm, Jumping gene, Multiple criteria decision making, Voltage control",

author = "Ma, \{H. M.\} and Man, \{K. F.\}",

year = "2008",

doi = "10.1109/ICIT.2008.4608408",

language = "English",

isbn = "9781424417063",

booktitle = "Proceedings of the IEEE International Conference on Industrial Technology",

note = "2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 ; Conference date: 21-04-2008 Through 24-04-2008",

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AU - Man, K. F.

PY - 2008

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N2 - This paper presents a new flexible voltage control strategy. The optimal voltage control is considered a multi-objective problem. A set of feasible solutions saved as Pareto frontier is searched by the jumping gene EA. Based on the solution set, a multiple criteria decision making technique is used to select a suitable one which is applied as the finial on-line solution under different preferences. This strategy was tested on the New England 39 buses power system. ©2008 IEEE.

AB - This paper presents a new flexible voltage control strategy. The optimal voltage control is considered a multi-objective problem. A set of feasible solutions saved as Pareto frontier is searched by the jumping gene EA. Based on the solution set, a multiple criteria decision making technique is used to select a suitable one which is applied as the finial on-line solution under different preferences. This strategy was tested on the New England 39 buses power system. ©2008 IEEE.

KW - Evolution algorithm

KW - Jumping gene

KW - Multiple criteria decision making

KW - Voltage control

UR - https://www.scopus.com/pages/publications/54549092862

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-54549092862&origin=recordpage

U2 - 10.1109/ICIT.2008.4608408

DO - 10.1109/ICIT.2008.4608408

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781424417063

BT - Proceedings of the IEEE International Conference on Industrial Technology

T2 - 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008

Y2 - 21 April 2008 through 24 April 2008

ER -

A jumping gene GA for multi-objective voltage control

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