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Darabian, M., Jalilzadeh, S., Azari, M.. (1386). Power System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach. سامانه مدیریت نشریات علمی, 1(1), 33-42.
M. Darabian; S. Jalilzadeh; M. Azari. "Power System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach". سامانه مدیریت نشریات علمی, 1, 1, 1386, 33-42.
Darabian, M., Jalilzadeh, S., Azari, M.. (1386). 'Power System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach', سامانه مدیریت نشریات علمی, 1(1), pp. 33-42.
Darabian, M., Jalilzadeh, S., Azari, M.. Power System Stability Improvement via TCSC Controller Employing a Multi-objective Strength Pareto Evolutionary Algorithm Approach. سامانه مدیریت نشریات علمی, 1386; 1(1): 33-42.

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: 1,955
تعداد دریافت فایل اصل مقاله: 2,192


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