Squirrel Search Optimizer for Solving Economic Load Dispatch Problem

摘要

Economic load dispatch (ELD) is one of the most imperative problems to be solved for the economic operation of a power system. In this context, a new meta-heuristic swarm intelligence algorithm named squirrel swarm optimizer (SSO) for solving the ELD problems is proposed. SSO mimics the foraging behavior of squirrels which is based on the dynamic jumping and gliding strategies. The proposed SSO approach is implemented for two-test power systems encompassing 6 and 15 units systems and compared with genetic algorithm (GA), particle swarm optimization (PSO), artificial immune system (AIS), chaotic PSO (CPSO), bacterial foraging algorithm (BFA), biogeography based optimization (BBO), firefly algorithm (FA), glowworm swarm optimization (GSO), and exchange market algorithm (EMA). Results reveal the supremacy of the proposed SSO approach in terms of solution quality and convergence speed.