Dynamic economic dispatch solution using fast evolutionary programming with swarm direction

This paper presented a fast evolutionary programming (FEP) with swarm direction for solving the dynamic economic dispatch (DED) problem in power systems. The proposed method employed the swarm directions to embed in fast evolutionary programming (SFEP) to enhance the performance of FEP algorithm. Many practical operating constraints of the generator, such as ramp rate limits and prohibited operating zone, are considered in solving the constrained DED problem. The feasibility of the proposed SFEP method is demonstrated for a 15-unit system, and it is compared with the other FEP-based methods in terms of solution quality and computation efficiency. The experimental results show that the proposed SFEP method was indeed capable of obtaining higher quality solutions efficiently in solving the non-convex DED problems.