Nanyang Technological University, Singapore
It is my honor to be the editor-in-chief of IJEETC. The journal publishes good papers which focous on the advanced researches in the field of electrical and electronic engineering & telecommunications.
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
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.
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