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Best weight pattern evaluation based security constrained power dispatch algorithm
Authors:Lakhwinder Singh  J. S. Dhillon
Affiliation:1. Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib- 140407, Punjab, India
2. Sant Longowal Institute of Engineering & Technology, Longowal-148 106, Punjab, India
Abstract:
This paper presents a methodology which determines the allocation of power demand among the committed generating units while minimizes number of objectives as well as meets physical and technological system constraints. The procedure considers two decoupled problems based upon the dependency of their goals on either active power or reactive power generation. Both the problems have been solved sequentially to achieve optimal allocation of active and reactive power generation while minimizes operating cost, gaseous pollutants emission objectives and active power transmission loss with consideration of system operating constraints along with generators prohibited operating zones and transmission line flow limits. The active and reactive power line flows are obtained with the help of generalized generation shift distribution factors (GGDF) and generalized Z-bus distribution factors (GZBDF), respectively. First problem is solved in multi-objective framework in which the best weights assigned to objectives are determined while employing weighting method and in second problem, active power loss of the system is minimized subject to system constraints. The validity of the proposed method is demonstrated on 30-bus IEEE power system. Lakhwinder Singh is Assistant Professor & Head, Department of Electrical Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib. He obtained his B.E. (Electrical) (1990) from Guru Nanak Dev Engineering College, Ludhiana and M.E. (Power Systems) (1995) from Punjab University, Chandigarh. He is currently pursuing Ph.D. from Punjab Technical University, Jallandhar. He is a life member of the Indian Society for Technical Education, and a member of the Institution of Engineers (India). He has published/presented 21 papers in national and international conferences/ journals. His research interests include power system operation, optimization, neural networks and fuzzy logic. J.S.Dhillon is Professor, Electrical and Instrumentation Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, India (Deemed University). Previously, he has been Assistant Professor (1992-2002) at Giani Zail Singh College of Engineering and Technology, Bathinda, and Lecturer (1987-1992) at Thaper Institute of Engineering and Technology, Patiala. He received his B.E. (Electrical) (1983) from Guru Nanak Dev Engineering College, Ludhiana, M.E. (Systems) (1987), Punjab Agricultural University, Ludhiana, Ph.D., (1996) Thapar Institute of Engineering & Technology, Patiala. He has published/ presented more than 71 papers in national and international journals/conferences. His research interests include power system operation, optimization, genetic algorithm, neural networks and co-authored two books “Power System Optimization”, Prentice-Hall of India, New Delhi and “Basic Electrical & Electronics Engineering”, Kalyani Publishers.
Keywords:Multi-objective optimization  best weight pattern evaluation  fuzzy decision making  membership function  generalized generation shift distribution factors  generalised Z-bus distribution factors
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