Ant Lion Optimization for Optimum Power Generation with valve point effects

Abstract

This paper presents Ant lion optimization (ALO) technique to solve Optimum Power Generation problem. Ant lion optimization (ALO) is a novel nature inspired algorithm. The ALO algorithm mimics the hunting mechanism of antlions in nature. Five main steps of hunting prey such as the random walk of ants, building traps, entrapment of ants in traps, catching preys, and re-building traps are implemented. Optimum Power Generation is a method of determining the most efficient, low-cost and reliable operation of a power system by dispatching available electric generation resources to supply load on the system. The primary objective of is to minimize total cost of generation while honoring operational constraints of available generation resources. The proposed technique is implemented on13 & 40 unit test system for solving the . Numerical results show that the proposed method has good convergence property and better in quality of solution than other algorithms reported in recent literature.

Authors and Affiliations

Shivani Mehta, Meenakshi Mahendru Nischal

Keywords

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  • EP ID EP21291
  • DOI -
  • Views 283
  • Downloads 6

How To Cite

Shivani Mehta, Meenakshi Mahendru Nischal (2015). Ant Lion Optimization for Optimum Power Generation with valve point effects. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(10), -. https://europub.co.uk/articles/-A-21291