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- W2368387051 abstract "Reactive power optimization of power system can improve power quality,reduce network loss,prevent accident and its expansion,while the existing reactive power optimization algorithm is easy to fall into the shortcomings of premature and local convergence. This paper proposes an improved niche imperialistic competition algorithm( INICA)to solve the reactive power multi-objective optimization problem. Empire group is divided by the fuzzy dynamic cluster analysis method. The competition of each country within the coalition is adjusted by competition sharing technology to improve the global optimization ability and avoid algorithm precocious phenomena effectively. IEEE-30 and IEEE-57 nodes systems are selected to make a simulation test. The optimized results are compared and analyzed with algorithms based on the genetic algorithm and traditional imperialistic competition algorithm. Test results show that the improved niche imperialistic competition algorithm can get better convergence effects and stronger global searching ability in solving the problem of reactive power optimization." @default.
- W2368387051 created "2016-06-24" @default.
- W2368387051 creator A5034201678 @default.
- W2368387051 date "2014-01-01" @default.
- W2368387051 modified "2023-09-23" @default.
- W2368387051 title "Reactive power optimization of power system based on improved niche imperialistic competition algorithm" @default.
- W2368387051 hasPublicationYear "2014" @default.
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