A non-convex economic load dispatch problem with valve loading effect using a hybrid grey wolf optimizer

摘要: Economic load dispatch (ELD) is a crucial problem in the power system which tackled by distributing required generation through set of units to minimize fuel cost required. This distribution subject two main constraints: (1) equality and inequality related balance output, respectively. In optimization context, ELD formulated as non-convex, nonlinear, constrained cannot be easily solved using calculus-based techniques. Several algorithms have been adapted. Due complexity nature search space, theoretical concepts these modified or hybridized. this paper, grey wolf optimizer (GWO) swarm intelligence hybridized with $$\beta$$ -hill climbing ( HC) local algorithm, improve convergence properties. GWO very powerful wide search, while HC deep search. By combining ability single framework, between exploration exploitation correctly managed. The proposed hybrid algorithm named -GWO evaluated five different test cases problems: 3 generating 850 MW; 13 1800 2520 40 10,500 80 21,000 MW. comparatively measured 49 comparative methods. results obtained outperform others most cases. conclusion, proved method for any other similar problems domain.