Date: 25 Feb 2011

Real coded genetic algorithm for stochastic hydrothermal generation scheduling

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The intent of this paper is to schedule short-term hydrothermal system probabilistically considering stochastic operating cost curves for thermal power generation units and uncertainties in load demand and reservoir water inflows. Therefore, the stochastic multi-objective hydrothermal generation scheduling problem is formulated with explicit recognition of uncertainties in the system production cost coefficients and system load, which are treated as random variable. Fuzzy methodology has been exploited for solving a decision making problem involving multiplicity of objectives and selection criterion for best compromised solution. A real-coded genetic algorithm with arithmetic-average-bound-blend crossover and wavelet mutation operator is applied to solve short-term variable-head hydrothermal scheduling problem. Initial feasible solution has been obtained by implementing the random heuristic search. The search is performed within the operating generation limits. Equality constraints that satisfy the demand during each time interval are considered by introducing a slack thermal generating unit for each time interval. Whereas the equality constraint which satisfies the consumption of available water to its full extent for the whole scheduling period is considered by introducing slack hydro generating unit for a particular time interval. Operating limit violation by slack hydro and slack thermal generating unit is taken care using exterior penalty method. The effectiveness of the proposed method is demonstrated on two sample systems.

Jarnail S. Dhillon, Ph.D., is Assistant Professor, Electrical Engineering Department, G Z S College of Engineering & Technology, Bathinda. Earlier, he served as Lecturer (1984–1995), Regional Engineering College Kurukshetra. He guided 06 M.Tech. students, co-authored 01 book and published/ presented 17 research papers in various national and international Journals/ conferences. His research interests include Multi-objective thermal power dispatch, hydrothermal scheduling, Fuzzy set theory and soft computing applications in Power system.
J.S. Dhillon, Ph.D., is Professor, Electrical & Instrumentation Engineering Department, Sant Longowal Institute of Engineering & Technology, Longowal, where he served as the head of department (2002–2005). Earlier, he served as Assistant Professor (1992–2002) G.Z.S. College of Engineering & Technology, Bathinda and Lecturer (1987–1992), Thapar Institute of Engineering & Technology, Patiala. He guided 04 Ph.D. and 17 M.Tech. students, co-authored 02 books and published 91 research papers published/ presented in various national and international Journals/ conferences. His research interests include Multi-objective thermal dispatch, hydrothermal scheduling, Neural Networks, Fuzzy set theory and soft computing applications in Power system.
D.P. Kothari, Ph.D., is Director General, Vindhya Institute of Technology & Science, Indore. Earlier he was Professor at the Centre for Energy Studies, Indian Institute of Technology Delhi. He also served as Vice Chancellor of VIT University, Vellore, Director-in-Charge IIT Delhi (2005), Deputy Director(Administration), IIT Delhi (2003–06), Principal, National Institute of Technology, Nagpur (1997–98) His fields of specialization include optimal hydro-thermal scheduling, unit commitment, maintenance scheduling, energy conservation, and power quality and energy systems planning and modeling. He guided -28 Ph.D. & 60 M.Tech. students, authored 20 books on Power Systems and published 625 research papers in various national and international journals.