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Title: Time Varying Acceleration Coefficients with Dominant Social Component particle swarm optimization for interconnected power system
Authors: S. Surendiran, S. Thangavel
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 3
Language: English
In this paper, Time Varying Acceleration Coefficients with Dominant Social Component (TVACDSC), Time Varying Acceleration Coefficients (TVAC) and Fixed Acceleration Coefficient (FAC) Particle Swarm Optimization (PSO) techniques are proposed to optimize the proportional, integral and derivative gains of PID controller for two equal area interconnected power system. The performance index is considered as minimization of Integral of Time weighted Absolute value of Error (ITAE). Main purpose of this interconnected power system is to provide better quality of power to consumers. For this reason, the responses are analyzed and compared with the responses of Gravitational Search Algorithm (GSA) in terms of rise time, settling time, peak overshoot, peak undershoot and time taken to reach the peak overshoot. Finally, suggested the better optimization technique to provide better quality of supply to consumers in interconnected power system.
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