NDLI: Optimal multi-objective design of power system damping controller using synergy of bacterial forging and particle swarm optimization

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Optimal multi-objective design of power system damping controller using synergy of bacterial forging and particle swarm optimization

Content Provider	ACM Digital Library
Author	Yong, Sun Zhimin, Li
Abstract	In order to solve the parameter optimization problem of traditional power system stabilizer, a novel power system stabilizer (PSS) design method is proposed based on synergy of bacterial forging and particle swarm optimization algorithm. Bacterial foraging algorithm may lead to delay in reaching global solution. Particle swarm optimization may lead to entrapment in local minimum solution and obtain imprecise search results. The new algorithm is proposed to combines both algorithms' advantages in order to get better optimization values. A coordinate optimization index based on multi-object and multiple operation conditions is presented so as to improve the damping ratios of electromechanical modes and increase the robustness of power system. In this paper, PSS design for single machine infinite bus is formulated as multi-objective and multi-operating conditions, and the hybrid approach involving bacterial foraging and particle swarm optimization algorithm is employed to solve this problem. The results of both eigenvalue analysis and nonlinear simulation show that the proposed PSS can damp the low-frequency oscillations effectively and work well with high control performance under different operating conditions. Compared with PSS which is design by genetic algorithm, the proposed PSS in this paper has better damping characteristics.
Starting Page	1037
Ending Page	1040
Page Count	4
File Format	PDF
ISBN	9781605583266
DOI	10.1145/1543834.1544002
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-06-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Damping controller Multi-object Low-frequency oscillation Particle swarm Bacterial foraging
Content Type	Text
Resource Type	Article

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