Ant Lion Optimization for Dynamic Economic Dispatch

Abstract

In this paper, Ant Lion Optimization (ALO) is presented to solve the dynamic economic dispatch (DED) problem considering valve-point effects, the ramp rate limits and transmission losses. The practical DED problems have non-smooth cost function with equality and inequality constraints, which make the problem of finding the global optimum difficult when using any mathematical approaches. The ALO is inspired by the hunting mechanism of ant lions in nature. It has fast convergence speed due to the use of roulette wheel selection technique. The effectiveness of the proposed algorithm has been verified on 10 unit generation system for a 24 h time interval. The results are compared with the results reported in the literature.

Authors and Affiliations

Hardiansyah . , Kho Hie Khwee, Suparno . , Rianda . , Irawan Suharto

Keywords

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  • EP ID EP388446
  • DOI 10.9790/1676-1206018792.
  • Views 131
  • Downloads 0

How To Cite

Hardiansyah . , Kho Hie Khwee, Suparno . , Rianda . , Irawan Suharto (2017). Ant Lion Optimization for Dynamic Economic Dispatch. IOSR Journals (IOSR Journal of Electrical and Electronics Engineering), 12(6), 87-92. https://europub.co.uk/articles/-A-388446