This paper presents Simulated Annealing (SA) algorithm for optimization inspired by the process of annealing in thermodynamics for the determination of the global or near global optimum dispatch solution. The proposed approach is found to provide optimal results while working with the load balance constraint and the operating limit constraints of the generators. Transmission losses are incorporated in the algorithm through the use of the B matrix loss formula. In order to prove the robustness of the algorithm it is investigated on two different standard test cases consisting of 3 unit and 6 unit test systems. The proposed method has been compared with other existing relevant approaches like Artificial Bee Colony(ABC) algorithm, Genetic Algorithm (GA), Particle Swarm Optimization(PSO) and also with classical optimization technique i.e., lambda iteration method. Experimental results support to justify superiority of the approach over other reported techniques in terms of fast convergence, robustness and most significantly its optimal search behavior.
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Author Name: D. Reeshma, Dr R.Vijaya Santhi
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Keywords: Thermodynamics, Simulated Annealing, Economic load dispatch, B matrix, Algorithms