Fuzzy Gain Scheduling Controllers for Automatic Generation Control of Two-area Interconnected Electrical Power Systems

Abstract

In this study, fuzzy gain scheduling controllers are proposed for automatic generation control of interconnected electrical power systems. Primarily, the study is done for automatic generation control of a two-area non-reheat thermal power system, and the parameters of fuzzy gain scheduling controllers are optimized by a genetic algorithm. Simulation results show the performance of fuzzy gain scheduling controllers is superior compared to the optimal and controllers based upon the gravitational search, the bacteria foraging optimization, and the hybrid bacteria foraging optimization–particle swarm optimization algorithms for an identical power system. The proposed approach is further protracted to a two-area reheat thermal system; the benefits of the fuzzy gain scheduling approach are demonstrated over optimal, conventional proportional-integral, and genetic algorithm-based integral controllers. Next, a multi-source multi-area hydro thermal system is considered, and the superiority of fuzzy gain scheduling controllers is established by comparing the results to the genetic algorithm and best claimed hybrid firefly algorithm–pattern search technique-based controllers. Finally, the effectiveness of the proposed approach is established for a two-area restructured reheat thermal power system. The simulation results indicate that the proposed fuzzy gain scheduling controllers work efficiently and provide better dynamic performance without being redesigned for separate systems.

Keywords:

• two-area power system
• fuzzy logic controller
• fuzzy gain scheduling
• automatic generation control
• optimal control
• genetic algorithm
• performance index
• multi-source power system
• restructured power system

Additional information

Notes on contributors

Yogendra Arya

Yogendra Arya received his A.M.I.E. in electrical engineering from The Institution of Engineers (India), in 2008 and his M.Tech. (instrumentation and control) from Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Haryana, India, in 2010. He is pursuing his Ph.D. from Delhi Technological University, Delhi, India. He is currently working as an assistant professor with Maharaja Surajmal Institute of Technology, Janakpuri, New Delhi, India. He is a member of The Institution of Engineers (India). His broad area of interest includes AGC of conventional and restructured power systems.

Narendra Kumar

Narendra Kumar was born in 1963 in Aligarh (U.P.), India. He completed his B.Sc. (engineering) and M.Sc. (engineering) from Aligarh Muslim University, Aligarh, India, in 1984 and 1986, respectively. He completed his Ph.D. from IIT Roorkee (formerly University of Roorkee, Roorkee) in 1995. He is presently a professor in Department of Electrical Engineering, Delhi Technological University, Government of National Capital Territory (NCT) of Delhi. He has published over 170 research articles, including more than 71 in national and international refereed journals and more than 104 in conference proceedings. He has been awarded the Pt. Madan Mohan Malviya Memorial Prize and K.F. Antia Memorial Medal by The Institution of Engineers (India) for his contribution in the field of electrical engineering. He has supervised 10 Ph.D. dissertations, over 36 M.E./M.Tech. dissertations, and more than 47 B.Tech./M.Tech. projects. His areas of interest are power system operation and control, flexible AC transmission systems (FACTS), and Sub-synchronous Resonance (SSR) in series-compensated transmission lines.