Enhanced Bee Swarm Optimization Algorithm for Dynamic Economic Dispatch

This paper proposes an enhanced bee swarm optimization method to solve the dynamic economic dispatch problem of thermal units considering the valve-point effects, ramp-rate limits, and the transmission power losses. The bee swarm optimization algorithm unlike most of the population-based algorithms employs different moving patterns to search the feasible solution space. This property makes an effective balance between exploration and exploitation. Different modifications in moving patterns of the bee swarm optimization method are proposed to search the feasible space more effectively. The efficiency of the method is validated using three test systems with 10, 30, and 60 units, including 240, 720, and 1440 design variables. The latter can be considered as a large-scale power system. The results are compared with other reported works in this area and found to be superior.