Comparison and improvement of evolutionary programming techniques for power system optimal reactive power flow

C. H. Liang; C. Y. Chung; K. P. Wong; X. Z. Duan

doi:10.1049/ip-gtd:20050081

Comparison and improvement of evolutionary programming techniques for power system optimal reactive power flow

C. H. Liang, C. Y. Chung, K. P. Wong, X. Z. Duan

Research output: Journal article publication › Journal article › Academic research › peer-review

38 Citations (Scopus)

Abstract

Some recently developed evolutionary programming (EP) techniques for the optimal reactive power flow (ORPF) problem are investigated. By comparing the performances of four control schemes of the strategy parameter (CSSPs), two principles for designing effective CSSPs are identified and are further used to develop two improved CSSPs. The effectiveness of the Lévy distribution based technique of adaptive fast EP is also studied. The investigations are conducted with simulations on the ORPF problems of the IEEE 14-, 30- and 118-bus standard test systems.

Original language	English
Pages (from-to)	228-236
Number of pages	9
Journal	IEE Proceedings: Generation, Transmission and Distribution
Volume	153
Issue number	2
DOIs	https://doi.org/10.1049/ip-gtd:20050081
Publication status	Published - Mar 2006

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1049/ip-gtd:20050081

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Comparison and improvement of evolutionary programming techniques for power system optimal reactive power flow

Abstract

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