The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON POWER SYSTEMS
Transactions ID Number: 27-598
Full Name: Boonruang Marungsri
Position: Senior Lecturer
Age: ON
Sex: Male
Address: Suranaree University of Technology, 111 University Ave., Muang District, Nakhon Ratchasima, 30000
Country: THAILAND
Tel: +66 4422 4366
Tel prefix:
Fax: +66 4422 4601
E-mail address: bmshvee@sut.ac.th
Other E-mails: ryusuke007@yahoo.com, anant@sut.ac.th
Title of the Paper: Stability Enhancement for Multi-machine Power System by Optimal PID Tuning of Power System Stabilizer using Particle Swarm Optimization
Authors as they appear in the Paper: Anant Oonsivilai, Boonruang Marungsri
Email addresses of all the authors: bmshvee@sut.ac.th , anant@sut.ac.th
Number of paper pages: 10
Abstract: This paper demonstrates the superior effectiveness of utilizing the artificial search technique to ascertain parameters optimization of power system stabilizer (PSS), contemplating proportional-integral-derivative controller (PID) for a multi-machine power system, compared to the customary Ziegler-Nichols method. As the PID - PSS parameters are also tuned by the Ziegler-Nichols method at the same operating point. Its effectiveness is presented using four machines power system. Acquire settings of PID - PSS which meliorate damping frequency of system are optimized by minimizing an objective function using Particle Swarm Optimization, an artificial search technique. The results convey eminent efficiency of the proposed PSO based PID controller.
Keywords: Power system stabilizer, PID tuning, Multi-machine power system, Particle Swarm Optimization, Artificial intelligent search technique
EXTENSION of the file: .pdf
Special (Invited) Session: Optimal PID Tuning of Power System Stabilizer for Multi-machine Power System using Particle Swarm Optimization
Organizer of the Session: 591-927
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