COMPOSITE SYSTEM WELL-BEING ANALYSIS USING SEQUENTIAL MONTE CARLO SIMULATION AND FUZZY ALGORITHM

Year 2013, Volume: 13 Issue: 1, 1575 - 1580, 02.09.2013

Bahman Alınejad , Mahmud Fotuhı-fıruzabad Masood Parvanıa

Abstract

Well-Being reliability indices (Health, Margin and Risk), provide a comprehensive measure to assess the adequacy of composite power systems. Conventional reliability information about power system operation only considered health and risk states, which were not often adequate criteria in both power system planning and operation. Well-being approach for power system generation adequacy evaluation incorporates deterministic criteria in a probabilistic framework, and provides system operating information in addition to risk assessment and can be evaluated using analytical techniques. The most important part of this approach is the algorithm for calculating the probability of the states. Besides, all the power system components, their behavior and their operational conditions such as transmission lines overloads and voltage drops should be considered in the calculations. In this context, this paper proposes a method to calculate more precise well-being indices using Monte Carlo simulation procedure and Fuzzy Logic algorithm while AC load flow is utilized for contingency analysis. The proposed method is examined on the RBTS and the results are presented.

Keywords

Well-Being Analysis, Monte Carlo Simulation, Fuzzy Algorithm.

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• Biographies: Bahman Alinejad received the B.Sc. degree in electrical engineering from Power and Water University of Technology (PWUT), Tehran, Iran, and M.S. degree from Sharif University of Technology, Tehran, Iran. He joint Parsian HV Substations Development Company as a head of transmission line department since 2005.
• Currently, HE is a PHD student at Shahid Beheshti University, Tehran, Iran. His areas of researches include wind-turbine generation, wide area protection and power system simulation. Mahmud Fotuhi-Firuzabad (SM’ 99) received B.Sc. and M.Sc. degrees in Electrical Engineering from Sharif University of Technology and Tehran University in 1986 and 1989 respectively and M.Sc. and Ph.D. Degrees in Electrical Engineering from the University of Saskatchewan, Canada, in 1993 and 1997 respectively. Presently he is a professor and Head of the Department of Electrical Engineering, Sharif University of
• Technology, Tehran, Iran. Dr. Fotuhi-Firuzabad is a member of center of excellence in power system control and management. He serves as the Editor of the IEEE TRANSACTIONS ON SMART GRID. Masood Parvania (S’ 09) received the B.S. degree in Electrical Engineering from Iran University of Science and Technology (IUST) in 2007, and M.S. degree in Electrical Engineering from Sharif University of Technology in 2009, where he is currently pursuing his Ph.D. degree. His research interests include power system reliability and security assessment, as well as operation and optimization of smart electricity grids.