Improved Sine Cosine Algorithm for Solving Dynamic Economic Dispatch Problem
K. Chandrasekaran
K. Chandrasekaran, Department of Electrical and Electronics Engineering, National Institute of Technology Puducherry, Karaikal-609609, Puducherry, India
Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 314-321 | Volume-8 Issue-3, February 2019 | Retrieval Number: C5903028319/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents an Improved Sine Cosine Algorithm (ISCA) for solving economic dispatch problem (EPD) and dynamic economic dispatch (DED) problem. The DED problem exhibits non-convex nature due to the inclusion of valve-point loading effects and ramp rate limits. In Sine Cosine algorithm (SCA), the searcher agents which interact with each other based on the trigonometric function. This paper proposes a novel ISCA that track the best solution to improve the convergence and solution quality of SCA. The results obtained by the ISCA are tabulated, graphed and compared with that obtained by the SCA and other algorithm available in the literature. The outcomes show that the implementation of ISCA provides a feasible solution with significant savings.
Keywords: Economic Dispatch Problem, Dynamic Economic Dispatch Problem, Sine Cosine algorithm and Improved Sine Cosine Algorithm.
Scope of the Article: Computational Economics