Cost-Effective Dispatch Using Grey Wolf Optimization Algorithm: Solution with Diverse Load Pattern

Abstract

This paper ascertains a new solution to the economic load dispatch (ELD) problem using a grey wolf optimization (GWO) algorithm with diverse load conditions. ELD has formulated as a constrained minimization problem that satisfies certain practical and realistic constraints. In this study, both quadratic and non-convex fuel cost characteristics have considered as an objective function under static and dynamic load environments. The grey wolf optimization algorithm (GWO) has adopted as an optimization tool. It carries the exploration and exploitation process in search space through encircling, hunting, and attacking, and the algorithm has incorporated into a solution repair strategy. Therefore, a new optimum generation schedule has arrived. For demonstration, two test systems have taken with from earlier reports with full consideration, such as transmission loss and valve point loading effect. The simulated results have contrasted with the results attained by previous methods, and the validation reveals that the proposed method is a hopeful optimization tool to find generation schedules at affordable prices.