Dimension Learning-Based Hunting Strategy for the Solution of Economic Dispatch

This paper introduces a strategy used in the grey wolf optimization algorithm to solve the problem of economic dispatch having equality and inequality constraints for power system operation and planning. To analyze the strategy, called dimension learning-based hunting in grey wolf optimizer, the algorithm is applied on different IEEE standards test systems such as 6, 13, and 40, and the findings are equated with previous techniques developed to solve the economic dispatch problem. The comparison signifies that the modified grey wolf optimization can provide improved results in terms of cost reduction and performance.