Power-Frequency Balance in Multi-generation System Using Optimized Fuzzy Logic Controller

Abstract

This paper emphasizes the development of control strategy for inter-area oscillation suppression for a unified two-area hydro–thermal deregulated power system. A proportional derivative-type fuzzy logic controller with integral (PDFLC+I) controller was proposed for automatic generation control. Further comparisons among conventional integral controller, proportional integral derivative controller, and PDFLC+I are carried out, where the PDFLC+I controller is optimized by four different optimization techniques namely, algorithm, ant colony optimization, classical particle swarm optimization, and adaptive particle swarm optimization. In PDFLC+I controller optimization, scaling parameters of controllers are optimized. A comparative study shows that the proposed PDFLC+I controller has a better dynamic response following a step load change for the combination of PoolCo and bilateral contract-type transaction in deregulated environment. Proposed controller performance has also been examined for ±30% variation in system parameters. Non-linearity in the form of governor dead band is taken into account during simulation.

Keywords::

• two-area power system
• automatic generation control
• proportional integral derivative controller
• fuzzy logic controller
• genetic algorithm
• deregulated environment
• Ziegler–Nichols method
• adaptive particle swarm optimization

Additional information

Notes on contributors

Yogesh Krishan Bhateshvar

Yogesh Krishan Bhateshvar received the Bachelor of Engineering degree in electronics and communication engineering from Rajasthan University, Jaipur, India, and the M.Tech degree in automotive electronics from VIT University, Vellore, India, in 2005 and 2008, respectively. He received the Ph.D. degree from BITS-Pilani, India, in 2016. He is currently an assistant professor in the Department of Automobile engineering at Manipal University, Jaipur, and have more than 8 years of teaching and research experience. His research interests include intelligent control systems and their applications to automotive engineering and smart grid technologies in power systems.

Hitesh Datt Mathur

Hitesh Datt Mathur received the B.E. degree in electrical engineering and the M.E. degree in electrical power systems from Nagpur University and Rajasthan University, India, in 1998 and 2000, respectively; he received the Ph.D. degree in electrical power systems from Birla Institute of Technology and Science, Pilani, in 2007. He was a post-doctoral fellow in Supelec, Gif-sur-Yvette, France, in 2013. Currently, he is an associate professor at Birla Institute of Technology and Science, Pilani. He is a member of IEEE, Institution of Engineers (India), and Indian Society of Technical Education. His research interests include automatic generation control of electrical power system, distributed generation, and intelligent control applications to power systems.

Ramesh C. Bansal

Ramesh C. Bansal has more than 25 years of teaching, research, and industrial experience. Currently he is the Professor and Group head (Power) in the Department of Electrical, Electronic and Computer Engineering at the University of Pretoria, South Africa. In previous postings, he was with the University of Queensland, Australia, Birla Institute of Technology and Science, Pilani, India, the University of the South Pacific, Fiji, and Civil Construction Wing, All India Radio. He has published over 250 papers in journals and conferences. He is an Editor/Associate Editor of member many reputed journals including IET-Renewable Power Generation and Electric Power Components and Systems. He is a Fellow, and CP Engg IET-UK, Fellow Engineers Australia, Fellow Institution of Engineers (India), and Senior Member-IEEE. He has diversified research interests in the areas of Renewable Energy and Conventional Power Systems which includes wind, PV, hybrid power systems, distributed generation, grid integration of renewable energy, power systems' analysis (reactive power/voltage control, stability, faults, and protection), smart grid, FACTS, and power quality.