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Article type: Research Article
Authors: Stella, M.a | Dash, P.K.b; * | Rout, P.K.b
Affiliations: [a] Multimedia University, Kuala Lumpur, Malaysia | [b] College of Engineering, Bhubaneswar, India
Correspondence: [*] Corresponding author. E-mail: [email protected]
Abstract: In this paper a variable structure fuzzy PI-genetic control scheme is proposed for a Voltage Source Inverter based STATCOM in damping the electro-mechanical oscillations of a power system. The function based Takagi-Sugeno-Kang (TSK) fuzzy controller uses two rules and generates the proportional action which, by one-to-two mapping, gives a variable gain PI controller. This single-input, function based fuzzy controller, dispenses the gain dependency of the proportional or integral gains and generates independent controls. To demonstrate the application of the proposed controller, a case study is done with a single and multimachine power system operating with STATCOM. Further, Genetic Algorithm (GA) is used to tune the parameters of the analytical fuzzy PI controller for optimal damping performance. Computer simulation results clearly reveal the superior performance of the proposed controller. A comparison is also made with a two-input fuzzy controller using four rules instead of just two as in the single input case.
Keywords: Crossover, damping, STATCOM, Takagi-Sugeno-Kang fuzzy control, fitness function, genetic optimization, improved genetic optimization
DOI: 10.3233/KES-2007-11301
Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 11, no. 3, pp. 139-156, 2007
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