A Method of Controlled Islanding Strategy Based on Artificial Fish Swarm Algorithm

Yi Fei Wang; Fei Tang; Qing Fen Liao; Jian Yang

doi:10.4028/www.scientific.net/AMM.577.598

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 577A Method of Controlled Islanding Strategy Based on...

A Method of Controlled Islanding Strategy Based on Artificial Fish Swarm Algorithm

Abstract:

Optimal controlled islanding strategy searching is a complex combinational optimization problem. Artificial fish swarm algorithm (AFSA) based on the simulation of fish swarm is an intelligent meta-heuristics. In this paper, AFSA is applied to the searching of optimal controlled islanding strategy. In order to minimize the unbalanced power in each island, a mathematic model is established with some constraints. Simulation result on IEEE-39 node system shows that the proposed method can obtain the optimal strategy promptly and has strong global search ability.

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Periodical:

Applied Mechanics and Materials (Volume 577)

Pages:

598-602

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.577.598

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Online since:

July 2014

Authors:

Yi Fei Wang, Fei Tang*, Qing Fen Liao, Jian Yang

Keywords:

AFSA, Combination Optimization, Controlled Splitting, Unbalanced Power

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* - Corresponding Author

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