Reactive Power Optimization in Power System Based on Adaptive Particle Swarm Optimization

Wen Qing Zhao; Li Wei Wang; Fei Fei Han; De Wen Wang

doi:10.4028/www.scientific.net/AMR.846-847.1209

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Reactive Power Optimization in Power System Based...

Reactive Power Optimization in Power System Based on Adaptive Particle Swarm Optimization

Abstract:

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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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1209-1212

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.1209

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Online since:

November 2013

Authors:

Wen Qing Zhao*, Li Wei Wang, Fei Fei Han, De Wen Wang

Keywords:

Adaptive, Optimization, PSO, Reactive Power Optimization

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* - Corresponding Author

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