Optimization of Dynamic Economic Dispatch with Valve-Point Effect Using an Improved Artificial Fish Swarm Algorithm

The optimization of dynamic economic dispatching with valve-point effect (DED-VPE) is a complex non-convex and nonlinear optimization problem in power systems. Responding to these challenges, an improved artificial fish swarm algorithm (IAFSA) was proposed to cope with the DED-VPE problem. The classical artificial fish swarm algorithm (AFSA) has slow convergence speed and obtains solutions of low quality because of the structure defects, the fixed visual and moving step. So, this paper proposes two strategies to overcome these defects and improve the optimization ability of the AFSA, one is self-adaptive visual and moving step, and the other is a new scheme of the preying behavior. Two test systems were used to verify the effectiveness of the proposed method. The findings of case study show the feasibility and effectiveness of the IAFSA in the optimization of DED-VPE problem.