Combined Economic Emission Dispatch Solution using Simulated Annealing Algorithm

This paper present a simulated annealing (SA) algorithm for solving the combined economic emission dispatch (CEED) problem in power systems considering the power limits. The CEED is to minimize both the operating fuel cost and emission level simultaneously while satisfying the load demand and operational constraints. The philosophy involves the introduction of a new decision variable through a prudent mathematical transformation of the relation between the decision variable and the optimal generations. A novel best mechanism algorithm based on global optimization approaches is inspired by annealing process of thermodynamics. Numerical results for the standard IEEE 30-bus 6-generator test system have been presented to illustrate the performance and applicability of the proposed approach. The results obtained are compared to those reported in the recent literature. Those results show that the proposed algorithm provides effective and robust high-quality solution of the CEED problem.