Grey wolf optimization applied to economic load dispatch problems

• A new stochastic grey wolf optimization approach is applied to solve ELD problem.
• Nonlinearities like valve point effect, ramp rate and prohibited zone are considered.
• Three illustrative examples of ELD having 10, 40 and 140 units are presented.
• Results are compared with available existing results from literatures.
• Robustness of the proposed method is checked through statistical analysis.

This article presents a new evolutionary optimization approach named grey wolf optimization (GWO), which is based on the behaviour of grey wolves, for the optimal operating strategy of economic load dispatch (ELD). Nonlinear characteristics of generators like ramp rate limits, valve point discontinuities and prohibited operating zones are considered in the problem. GWO method does not require any information about the gradient of the objective function, while searching for an optimum solution. The GWO algorithm concept, appears to be a robust and reliable optimization algorithm is applied to the nonlinear ELD problems. The proposed algorithm is implemented and tested on four test systems having 10, 40, 80 and 140 units. The results confirm the potential and effectiveness of the proposed algorithm compared to various other methods available in the literature. The outcome is very encouraging and proves that the GWO is a very effective optimization technique for solving various ELD problems.