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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29527


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2155
Robust FACTS Controller Design Employing Modern Heuristic Optimization Techniques
Abstract:
Recently, Genetic Algorithms (GA) and Differential Evolution (DE) algorithm technique have attracted considerable attention among various modern heuristic optimization techniques. Since the two approaches are supposed to find a solution to a given objective function but employ different strategies and computational effort, it is appropriate to compare their performance. This paper presents the application and performance comparison of DE and GA optimization techniques, for flexible ac transmission system (FACTS)-based controller design. The design objective is to enhance the power system stability. The design problem of the FACTS-based controller is formulated as an optimization problem and both the PSO and GA optimization techniques are employed to search for optimal controller parameters. The performance of both optimization techniques has been compared. Further, the optimized controllers are tested on a weekly connected power system subjected to different disturbances, and their performance is compared with the conventional power system stabilizer (CPSS). The eigenvalue analysis and non-linear simulation results are presented and compared to show the effectiveness of both the techniques in designing a FACTS-based controller, to enhance power system stability.
Digital Object Identifier (DOI):

References:

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[9] Sidhartha Panda, "Multi-objective evolutionary algorithm for SSSC-based controller design", Electric Power System Research, Vol. 79, Issue 6, pp. 937-944, 2009.
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[13] Sidhartha Panda, "Robust coordinated design of multiple and multi-type damping controller using differential evolution algorithm", International Journal of Electrical Power and Energy Systems, Vol. 33, 1018-1030, 2011.
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