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《Journal of Northeast Dianli University(Natural Science Edition)》 2009-06
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Study on Optimal Power Flow Based on Hybrid Continuous Ant Colony Optimization

CHEN Hou-he~1,LV Zhi-yuan~2,ZHU Jing-ming~3 (1.Northeast Dianli University,Jilin,Jilin,132012;2.Yantai Power Supply Corporation,Yantai,Shandong,264000;3. Changchun Extra High Voltage Bureau,Changchun,Jilin,130031)  
This paper presents a non-linear model of Optimal Power Flow(OPF) computation,which is based on Hybrid Continuous Ant Colony Optimization(HCACO).Combining the positive feedback of Ant Colony Optimization (ACO) strategy and evolutionary strategy of Float Genetic Algorithm(GA),HCACO enhances the optimization efficiency and global convergence performance.According to the amount overrunning the limit of inequality constraints during the computing process,uses non-stationary multi-stage assignment penalty function to simplify the inequality constrains,adopts eugenic strategy to further increase the convergence speed and global optimization results.The verification results by IEEE-30 bus system show the rationality and availability of algorithm.
【CateGory Index】: TM744
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