Hydro-Thermal Scheduling By an Evolutionary Programming Method with Cooling-Banking Constraints
Nimain Charan Nayak1, C. Christober Asir Rajan2
1Nimain Charan Nayak, Electrical and Electronics Engineering, Sathyabama University, Chennai, India,
2C.Christober Asir Rajan, Electrical and Electronics Engineering, Pondicherry Engineering College, Puducherry, India.
Manuscript received on July 01, 2012. | Revised Manuscript received on July 04, 2012. | Manuscript published on July 05, 2012. | PP: 517-521 | Volume-2, Issue-3, July 2012. | Retrieval Number: C0834062312 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This Paper proposes a new algorithm for solving the Unit Commitment problem in Hydrothermal Power System using an Evolutionary Programming method with Cooling-Banking constraints. The main objective of this paper is to find the generation scheduling by committing the generating units such that the total operating cost can be minimized by satisfying both the forecasted load demand and various operating constraints of the generating units. An initial population of parent solutions is generated at random. Here the parents are obtained from a pre-defined set of solutions i.e. each and every solution is adjusted to meet the requirements. Then, random recommitment is carried out with respect to the unit’s minimum down times. The best population is selected by Evolutionary Strategy. Numerical results are shown comparing the cost solutions and computation time obtained by using the Evolutionary Programming method with cooling and banking constraints than conventional methods like Dynamic Programming.
Keywords: Hydro-Thermal Scheduling, Evolutionary Programming, Unit Commitment