Nonlinear Time Response Optimization using Imperialist Competitive Algorithm for Tuning Robust Power System Stabilizers

Abstract

In this paper, a new approach based on Imperialist Competitive Algorithm (ICA) is proposed to tune the optimal parameters of the Power System Stabilizers (PSSs) to damp the low-frequency oscillations in a multi-machine power system. The paper uses the ICA to address PSSs design problem so as to overcome the deficiency of traditional derivative-based methods and other heuristic algorithms. The main objective of this procedure is to simultaneously optimize parameters of those PSSs having fixed parameters in coping with the complex nonlinear natures of the power system. The robustness and efficiency of the newly designed stabilizers is evaluated in a New England-New York sixteen-machine power system subjected to the different operating conditions and different types of disturbances in comparison with the genetic algorithm and linear matrix inequality based PSSs design methods. The superiority of the proposed stabilizers is demonstrated through the nonlinear simulation and some dynamic performance indices studies. The results analysis reveals that the tuned ICA-PSSs have an excellent capability in damping of low frequency oscillations.

Keywords:

• Imperialist competitive algorithm
• Low frequency oscillations
• Multi-machine power system
• Optimization
• Power system stabilizer

Additional information

Notes on contributors

Amin Safari

Amin Safari received the B.Sc. and M.Sc. degrees in Electrical Engineering in 2007 and 2009, respectively. Currently, he is a Ph.D. student of Power Electrical Engineering, Iran University of Science and Technology, Tehran, Iran. His areas of interest in research are Application of Artificial Intelligence to Power System Control Design, FACTS device and fuzzy sets and systems. He has published more than 50 papers in international journals and conference proceedings. He joined to Islamic Azad University, Ahar branch, Iran, as lecture in 2009. E-mail: [email protected]

Amir Ameli

Amir Ameli received the B.Sc. and degrees in Electrical Engineering in 2011. Currently, he is a M.SE. student of Power Electrical Engineering, Sharif University of Technology, Tehran, Iran. His areas of interest in research are Application of Artificial Intelligence to Power System Control Design. E-mail: [email protected]

Heidar Ali Shayanfar

Heidar Ali Shayanfar received the B.Sc. and M.Sc. degrees in Electrical Engineering in 1973 and 1979, respectively. He received his Ph.D. degree in Electrical Engineering from Michigan State University, U.S.A., in 1981. Currently, he is a Full Professor in Electrical Engineering Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran. His research interests are in the Application of Artificial Intelligence to Power System Control Design, Dynamic Load Modeling, Power System Observability Studies and Voltage Collapse. He is a member of Iranian Association of Electrical and Electronic Engineers and IEEE. E-mail: [email protected]