Reactive power optimization of electric power system incorporating wind power based on Parallel Immune Particle Swarm Optimization

Author(s):  
Tianhong Wang ◽  
Guili Yuan ◽  
Lei Zhu ◽  
Tong Yu
2013 ◽  
Vol 846-847 ◽  
pp. 1209-1212
Author(s):  
Wen Qing Zhao ◽  
Li Wei Wang ◽  
Fei Fei Han ◽  
De Wen Wang

This paper summarizes the reactive power optimization of power system characteristics and requirements, proposed to target the active power loss of reactive power optimization mathematical model, And the traditional classical algorithm can not handle the limitations of discrete variables, using the adaptive particle swarm optimization algorithm to solve the problem of reactive power optimization. By testing on IEEE30 bus system simulation, comparing different algorithm optimization results show the effectiveness and superiority of APSO algorithm.


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