An efficient heuristic optimization technique for robust power system stabilizer design |
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| Affiliation: | 1. Department of Civil Engineering, SRM Research Institute, SRM University, Kattankulathur 603203, India;2. State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences. Guangzhou 510640, China;3. Centre for Advanced Study in Marine Biology, Annamalai University, Tamil Nadu, India;4. Center for Marine Environmental Studies (CMES), Ehime University, 2-5 Bunkyo-cho, Matsuyama 790-8577, Japan;5. Lancaster Environmental Centre, Lancaster University, LA1 4YQ Lancaster, UK;1. Institute of Botany, Faculty of Biology, Jagiellonian University, Gronostajowa 3, 30-387 Kraków, Poland;2. Department of Ecology and Protection of Environment, West Pomeranian University of Technology, Szczecin, Słowackiego 17, 71-434 Szczecin, Poland |
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| Abstract: | Design of a power system stabilizer (PSS) using simulated annealing (SA) heuristic optimization technique is presented in this paper. Two different PSSs are proposed, namely, simulated annealing based PSS (SPSS) and robust SPSS (RSPSS). The proposed approach employs SA to search for optimal or near optimal settings of (RSPSS). The proposed approach employs SA to search for optimal or near optimal settings of PSS parameters. An objective function that shifts the system eigenvalues associated with the electromechanical modes to the left in the s-plane is proposed. The robustness of the proposed SPSS and RSPSS over a wide range of loading conditions and system parameter uncertainities is investigated. The nonlinear simulation results show the effectiveness of the proposed PSSs to damp out the low frequency oscillations and work effectively over a wide range of loading conditions and system parameter uncertainities. |
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