Grey Wolf Optimizer for Economic Load Dispatch with Valve Point Loading

Economic load dispatch (ELD) is one of the most important optimization problems in the modern power system. The introduction of non-convex, non-differentiable and non-continuous models like valve point loading (VPL) and prohibited operating zone (POZ) makes the conventional ELD problem to a highly non-linear constrained problem which makes the conventional method to stick to local optima. In this paper, grey wolf optimization (GWO) algorithm which inherits the social and hunting behavior of grey wolves is used to solve such non-linear, non-convex ELD problem. The effectiveness of the GWO algorithm is verified by testing it on two ELD problems with VPL. The performance of GWO algorithm is validated using the statistical measures like minimum, maximum, mean and standard deviation over 50 independent test runs. Comparative results reveal that GWO algorithm for the chosen non-linear ELD problem performs better in terms of solution quality and robustness.