期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2015
卷号：5
期号：2
页码：213-220
DOI：10.11591/ijece.v5i2.pp213-220
语种：English
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：Bacterial Swarm Optimization (BSO) is used to design Power System Stabilizers in a multi machine power system. In BSO, the search directions of tumble behavior for each bacterium are oriented by the individual’s best location and the global best location of PSO. The hybrid BFOA-PSO algorithm has been applied to IEEE 14 bus test system under normal, light and heavy load conditions. Simulations results have revealed the strength of the BSO in tuning Power System Stabilizers under normal, light and heavy load conditions. The results present the effectiveness of the controller to improve the power system stability over a different range of loading conditions.
其他摘要：Bacterial Swarm Optimization (BSO) is used to design Power System Stabilizers in a multi machine power system. In BSO, the search directions of tumble behavior for each bacterium are oriented by the individual’s best location and the global best location of PSO. The hybrid BFOA-PSO algorithm has been applied to IEEE 14 bus test system under normal, light and heavy load conditions. Simulations results have revealed the strength of the BSO in tuning Power System Stabilizers under normal, light and heavy load conditions. The results present the effectiveness of the controller to improve the power system stability over a different range of loading conditions.
关键词：electrical and electronics engineering(power);Multi machine Power System PSSs Particle Swarm Optimization Bacteria Foraging
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