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《Electrotechnical Application》 2008-07
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Application of Improved Genetic Algorithm Combining Sensitivity Analysis to Reactive Power Optimization

Chen Yanqiu (South China University of Teehnology)  
Genetic algorithm applied to reactive power optimi- zation of large scale power networks has some problems,such as high searching space and time consuming.So an improved ge- netic algorithm combining sensitivity analysis (IGACSA) is in- truduced.The crossover and mutation of SGA are improved in IGACSA.The improved crossover give fast local adjustment for this-algorithm,and the improved mutation combined sensitivity analysis is used to generate new individuals.Furthermore,the results of this algorithm are mini-adjusted by sensitivity analysis. In order to apply IGACSA in determinating the capacity of new installed reactive-power compensation,two simple steps are a- dopted.The analysis of practical power network show the pro- posed algorithm can decrease the calculating time and obtain bet- ter optimization results.
【Fund】： 国家自然科学基金项目(50337010)
【CateGory Index】： TM714;TP18
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