Hydro-thermal unit commitment problem using simulated annealing embedded evolutionary programming approach

This paper presents a new approach to solve the hydro-thermal unit commitment problem using Simulated Annealing embedded Evolutionary Programming approach. The objective of this paper is to find the generation scheduling such that the total operating cost can be minimized, when subjected to a variety of constraints. A utility power system with 11 generating units in India demonstrates the effectiveness of the proposed approach; extensive studies have also been performed for different IEEE test systems consist of 25, 44 and 65 units. Numerical results are shown comparing the cost solutions and computation time obtained by conventional methods.

► The English language, style, grammar quality was improved through the English Professor.
► The introduction part was completely modified and some sentences were removed from the introduction part.
► The objective function is revised and changed to the new notations.
► In problem formulation chapter, the following notations were included: a. Pih – output power from hydro unit i (MW), b. Toffi and Toni were indexed, c. Pi is indexed in the revised paper.