NDLI: Application of improved genetic algorithm combining sensitivity analysis to reactive power optimization for power system

Content Provider	IEEE Xplore Digital Library
Author	Yan-qiu Chen Yao Zhang Ying-hua Wei
Copyright Year	2008
Description	Author affiliation: Electr. Power Coll., South China Univ. of Technol., Guangzhou (Yan-qiu Chen; Yao Zhang)
Abstract	Applying SGA to practical large scale power networks reactive power optimization still existing problems like large searching space and time consuming. This paper advanced an improved genetic algorithm combining sensitivity analysis (IGACSA). The new algorithm combined sensitivity analysis to generate initial generation of individuals in stead the way of SGA. The crossover and mutation operation of SGA were improved in the IGACSA, the improved crossover operation in possession of the ability of fast local adjustment, the improved mutation operation combined sensitivity analysis to generate new individuals. Furthermore, IGACSA used sensitivity analysis to mini-adjust the result of IGA. In order to use IGACSA to fix on the capacity of new installed reactive power compensation equipments, two simple steps were adopted to suit for practical power system. In the end, applying the IGACSA to reactive power optimization for Shaoguan power network in Guangdong Province proved the algorithm proposed can cut down calculating time and achieve better results.
Starting Page	798
Ending Page	803
File Size	455603
Page Count	6
File Format	PDF
ISBN	9787900714138
DOI	10.1109/DRPT.2008.4523515
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	DRPT
Subject Keyword	Genetic algorithms Sensitivity analysis Reactive power Power system analysis computing Genetic mutations Power system planning Large-scale systems Linear programming Space technology Educational institutions Sensitivity Analysis Genetic Algorithm Power System Reactive Power Optimization
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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