Design of Facts Controller using Genetic Algorithm Technique
Surya Narayan Sahu1, Biswajit Mohapatra2, Linkan Priyadarsini3
1Surya Narayan Sahu, Department of Electrical and Electronics Engineering , Centurion University, Bhubaneswar (Odisha), India.
2Biswaajit Mohapatra, Department of Electrical and Electronics Engineering, Centurion University, Bhubaneswar (Odisha), India.
3Linkan Priyadarsini, Department of Electrical and Electronics Engineering, Centurion University, Bhubaneswar (Odisha), India.
Manuscript received on 20 March 2014 | Revised Manuscript received on 25 March 2014 | Manuscript published on 30 March 2014 | PP: 130-134 | Volume-3 Issue-1, March 2014 | Retrieval Number: A1029033114/2014©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The design objective is to enhance the power system stability. Phillips-Herffron model of a Single-Machine Infinite-Bus (SMIB) power system equipped with SSSC controller is used to model the system in these studies. The design problem is formulated as an optimization problem and GA optimization technique is employed to search for optimal controller parameters. To show the superiority of the proposed approach, the performance of GA optimization technique is compared with a recently published paper in which Phase Compensation Technique(PCT) has been applied for the SSSC-based controller design Simulation results are presented for various operating condition and parameter variation under various disturbances to show the effectiveness and superiority of the GA optimization technique over the recently published PCT technique for a SSSC-based controller design
Keywords: FACTS Controllers, Artificial Intelligence, power system stability., Phillips Heffron model
Scope of the Article: Artificial Intelligence Approaches to Software Engineering