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AN IMPROVED DIFFERENTIAL EVOLUTION ALGORITHM FOR OPTIMAL LOAD DISPATCH IN POWER SYSTEMS INCLUDING TRANSMISSION LOSSES

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This paper presents an Improved Differential Evolution (IDE) algorithm to solve Economic Load Dispatch (ELD) problem with non-smooth fuel cost curves considering transmission losses, power balance and capacity constraints. The proposed IDE varies from the Standard Differential Evolution (SDE) algorithm in terms of three basic factors. The initial population in IDE is generated through the concept of Opposition Based Learning (OBL), applies tournament based mutation and uses only one population set throughout the optimization process. The performance of the proposed algorithm is investigated and tested with two standard test systems, the IEEE 30 bus 6 unit system and the 20 unit system. The experiments showed that the searching ability and convergence rate of IDE is much better than the SDE. The results of the proposed approach were compared in terms of fuel cost, computational time, power loss and individual generator powers with existing SDE and other meta-heuristics in literature. The proposed method seems to be a promising approach for ELD problems based on the solution quality and the computational efficiency.
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Surekha Paneerselvam is currently a research scholar with the Electrical and Electronics Engineering department at PSG College of Technology, Coimbatore, India. She received her B.E. Degree in Electrical and Electronics Engineering in PARK College of Engineering and Technology, Coimbatore, Tamil Nadu, and Masters Degree in Control Systems at PSG College of Technology, Coimbatore, Tamil Nadu. Her current research work includes Computational Intelligence Methodologies.
Dr. S.Sumathi is an Asst. Professor in the Electrical and Electronics Engineering department at PSG College of Technology, Coimbatore, India. She has completed B.E. Degree in Electronics and Communication Engineering and a Masters Degree in Applied Electronics at Government College of Technology, Coimbatore, Tamil Nadu. The Author got a Ph.D. Degree in the area of Data Mining and has published a large number of articles in International conferences and journals.

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