Economic Load Dispatch Problem with Ant Lion Optimization Using Practical Constraints

Abstract

This paper presents Ant Lion Optimization (ALO) algorithmffffor solvingfffEconomic LoadDispatch (ELD) problemfffwith practical constraints. ALO is a newly developed optimizationalgorithm, which draws inspiration from mimics, the huntingfffmechanism of antlions innature. The antlions have a unique hunting mechanism and exhibit high capability of reachingglobal optima, exploring the search space to find the optimalfffsolution within a lowcomputational time. For practical ELD problem needs to take care about the characteristics ofgenerators, and their operational constraints, such as ramp rate limits, prohibited operatingzones, generation operating limits, transmission loss, valve-point loading and non-linearemission functions. In order to validate the potency of the proposed method, four case studiesare investigated on different 6-unit systems and correlated with recently published ELDsolution methods. The results of the present work shows that the proposed ALO is dominantthan other methods to finding out optimal results. Stastical analysisfffof the results among 30trails has beenfffcarried out to validate the ALO as a highly potent method. This algorithmfffisconsidered to be a promising best alternative algorithm for solving the ELD problemff inpower systems.