Improved Particle Swarm Optimization for Power Economic Dispatch with Prohibited Operating Zones

Abstract

This study proposes an improved particle swarm optimization (IPSO) for power economic dispatch (PED) considering units with prohibited operating zones (POZ). The IPSO equipped with an accelerated operation and a migration operation can efficiently search and actively explore solutions. The multiplier updating (MU) is introduced to handle the equality and inequality constraints of the power system. To show the advantages of the proposed algorithm, one realistic example is investigated, and the computational results of the proposed method are compared with that of previous methods. The proposed approach integrates the IPSO and the MU, revealing that the proposed approach has the following merits ease of implementation; applicability to non-convex fuel cost functions; better effectiveness than previous methods; better efficiency than particle swarm optimization with the MU (PSO-MU), and the requirement for only a small population in applying the optimal PED problem of generators with POZ.