1Department of Electrical Engineering Depart, Veer Surendra Sai University of Technology (VSSUT), Burla, India
2Department of Electrical Engineering, ITER, SOA University, Bhubaneswar, India
American Journal of Electrical and Electronic Engineering.
2015,
Vol. 3 No. 2, 44-50
DOI: 10.12691/ajeee-3-2-4
Copyright © 2015 Science and Education PublishingCite this paper: P. K. Hota, N. C. Sahu. Security Constrained Economic Environmental Dispatch through Fuzzy Based Gravitational Search Algorithm.
American Journal of Electrical and Electronic Engineering. 2015; 3(2):44-50. doi: 10.12691/ajeee-3-2-4.
Correspondence to: P. K. Hota, Department of Electrical Engineering Depart, Veer Surendra Sai University of Technology (VSSUT), Burla, India. Email:
p_hota@rediffmail.comAbstract
A robust and reliable algorithm called as fuzzy based gravitational search algorithm has been developed for solution of the security constrained economic and environmental load dispatch (EED) problems. A fuzzy maximizing decision approach using gravitational search algorithm (GSA) is applied to a six-unit thermal power test system to obtain the best compromising solution. The usefulness and quality of the proposed algorithm is demonstrated through its application to the test system in terms of convergence speed, solution time and minimum operating cost. The obtained results from the proposed algorithm confirm the effectiveness and potential of the promising proposed algorithm compared to conventional method, real coded genetic algorithm (GA), hybrid GA and PSO methods, performed in different central load dispatch centers to solve multi-objective generation dispatch problems.
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