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- W2362188631 abstract "The reactive power optimization of power system can improve power quality,reduce network loss and prevent accident its expansion,while the existing reactive power optimization algorithm is easy to be trapped into premature and local convergence.This paper proposes an improved imperialistic competition algorithm(1ICA) to solve the reactive power optimization problem.Empire group is divided by fuzzy dynamic cluster analysis method.The fitness of each country within the coalition is adjusted by fitness sharing technology to improve the global optimization ability and avoid algorithm's precocious phenomena effectively.IEEE 30 nodes system is selected to make a simulation test The optimized results are compared and analyzed with the algorithms based on genetic algorithm and traditional imperialistic competition algorithm.Test results show that the improved imperialistic competition algorithm can get better convergence effects and stronger global searching ability in solving the problem of reactive power optimization." @default.
- W2362188631 created "2016-06-24" @default.
- W2362188631 creator A5051181882 @default.
- W2362188631 date "2013-01-01" @default.
- W2362188631 modified "2023-09-25" @default.
- W2362188631 title "Reactive Power Optimization of Power System Based on Improved ICA Algorithm" @default.
- W2362188631 hasPublicationYear "2013" @default.
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