Social Cognitive Optimization Algorithm with Reactive Power Optimization of Power System

Authors:
Zhanhong Wei;Zhihua Cui;Jianchao Zeng
Affiliations:
-;-;-
Venue:
CASON '10 Proceedings of the 2010 International Conference on Computational Aspects of Social Networks
Year:
2010

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Abstract

A reactive power optimization is a multi-modal, mixed-variable, multi-constraint and nonlinear planning problem. In the last decades, many computational intelligence-based techniques have been proposed for reactive power optimization problem, such as genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), Tabu search. Recently, a new swarm intelligent algorithm, social cognitive optimization algorithm (SCOA), is proposed by simulating the human competition process. In this paper, it is introduced to solve reactive power problem. Two famous examples: IEEE-57bus and IEEE-118bus system are used to test, simulation results show SCOA is effective.