Title :
Reactive power optimization of distribution network based on GA with simulated annealing selection
Author :
Zhou Shan ; Liu Wen-zhou ; Cai Chang-qing ; Zhang Li
Author_Institution :
Changchun Inst. of Technol., Changchun, China
Abstract :
The simulated annealing receiving Metropolis norm as individual replacement policy used for integrated optimization of reactive power of distribution network, establish mathematical models of integrated optimization of reactive power considering comprehensively network loss and minimum voltage deviation in line with the actual distribution network, programming application program, by the evidence of IEEE6 nodes distribution network results, improve the simulated annealing and selection of genetic algorithm so as to meet the basic requirements for distribution network Reactive Power Planning, achieve the optimization of reactive power compensation.
Keywords :
genetic algorithms; power distribution planning; reactive power; simulated annealing; GA; IEEE6 nodes; distribution network; distribution network reactive power planning; genetic algorithm; mathematical models; minimum voltage deviation; reactive power compensation; reactive power optimization; simulated annealing selection; Annealing; Genetic algorithms; Planning; Reactive power; Simulated annealing; distribution network; genetic algorithms; reactive power optimization; simulated annealing algorithm;
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028817