Economic Load Dispatch Problem with Ant Lion Optimization Using Practical Constraints

Abstract

This paper presents Ant Lion Optimization (ALO) algorithmffffor solvingfffEconomic Load Dispatch (ELD) problemfffwith practical constraints. ALO is a newly developed optimization algorithm, which draws inspiration from mimics, the huntingfffmechanism of antlions in nature. The antlions have a unique hunting mechanism and exhibit high capability of reaching global optima, exploring the search space to find the optimalfffsolution within a low computational time. For practical ELD problem needs to take care about the characteristics of generators, and their operational constraints, such as ramp rate limits, prohibited operating zones, generation operating limits, transmission loss, valve-point loading and non-linear emission functions. In order to validate the potency of the proposed method, four case studies are investigated on different 6-unit systems and correlated with recently published ELD solution methods. The results of the present work shows that the proposed ALO is dominant than other methods to finding out optimal results. Stastical analysisfffof the results among 30 trails has beenfffcarried out to validate the ALO as a highly potent method. This algorithmfffis considered to be a promising best alternative algorithm for solving the ELD problemff in power systems.