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Mahya Aghaee1, Elnaz Ghanbaryan2
1.Electrical Engineering Department, Southern Illinois University, 1263 Lincoln Drive, Carbondale, IL 62901-6899.
2.Electrical and Computer Engineering, Imam Khomeini International University, Postal Code: 34149-16818, Qazvin Islamic Republic of Iran.

Abstract—This paper presents an efficient approach for solving the Economic load Dispatch (ED) problem with valve-point effects using Simulated Annealing-based-Clonal selection as a hybrid technique. The main aim for solving economic dispatch problem is to schedule the outputs of the committed generating units in order to meet the system load at least fuel cost under various operating constraints. Since economic dispatch is a nonlinear nonconvex problem, stochastic search algorithms seem to be appropriate solutions. Hence, this study proposes a hybrid method (SAClonal) which combines the Clonal framework with the selection operation of Simulated Annealing (SA). The proposed method has been tested on three systems with different constraints and obtained results have been compared with the results of other stochastic search algorithms. The satisfying results acquired from the comparison ensure the efficiency of the proposed method.

Index Terms—Simulated annealing, Clonal selection algorithm, Economic load dispatch, Valve point effects

Cite: Mahya Aghaee and Elnaz Ghanbaryan, "ECONOMIC DISPATCH IN POWER SYSTEMS USING SIMULATED ANNEALING-BASED-CLONAL SELECTION OPTIMIZATION APPROACH," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 5, No. 3, pp. 25-34, July 2016.