An Incorporated Algorithm for Power Economic Dispatch Considering of Units with Fuel Changes

Chao-Lung Chiang

This paper proposes an incorporated algorithm for solving the power economic dispatch problem (PEDP) of generating units with fuel changes. The particle swarm optimization (PSO) enhances the proposed method efficaciously find and accurately search. The multiple updating (MU) can help the incorporated algorithm prevent deforming the augmented Lagrange function and caused difficultly in searching an optimal solution. The incorporated approach (PSO-MU) combines the PSO and a MU that has benefits of adopting a widespread area of punishment parameters and a small-size population. The proposed PSO-MU has been demonstrated on a practical ten power generators system; each generating unit is composed of two or three fuel sources. The entire generating cost of PEDP got by the proposed algorithm has been competed with previous researches for validating its efficacy. Simulation results of three examples clearly show that the incorporated algorithm is an effective alternative for solving PEDP of generating units with fuel changes in the realistic operation of power system.