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Power System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach | ||
Journal of Operation and Automation in Power Engineering | ||
مقاله 4، دوره 1، شماره 1، شهریور 2013، صفحه 33-42 اصل مقاله (160.42 K) | ||
نوع مقاله: Research paper | ||
نویسندگان | ||
M. Darabian* ؛ S. Jalilzadeh؛ M. Azari | ||
Department of Electrical Engineering, University of Zanjan, Zanjan, Iran | ||
چکیده | ||
This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA algorithm. The effectiveness of the proposed controller validates on a multi-machine power system over a wide range of loading conditions. The results of the proposed controller (SPEATCSC) are compared with the Genetic Algorithm (GA) based tuned TCSC through some operating conditions to demonstrate its superior efficiency. | ||
کلیدواژهها | ||
TCSC Design؛ Strength Pareto Evolutionary Algorithm؛ Multi-machine Power System؛ genetic algorithm؛ Power Oscillation Damping | ||
آمار تعداد مشاهده مقاله: 1,981 تعداد دریافت فایل اصل مقاله: 2,234 |