Dynamic Economic Emission Dispatch problem with valve-point effect

The advancement in power systems has led to the development of Dynamic Economic Emission Dispatch (DEED)that is difficult to solve by classical optimization method. The proposed paper work is to evolve a simple and effective method for an optimum generation dispatch to minimize the fuel cost and emission of power networks. This paper presents a Chaotic Self Adaptive Particle Swarm Optimization (CSAPSO) algorithm to solve DEED problem. Many non-linear characteristics of the generator such as value point effect, non smooth cost functions of fuel and emission and ramp rate limits are considered in this proposed method. The cost function of the generator exhibits the non convex characteristics, as the valve point effects are modeled and imposed as rectified sinusoid components. The velocity, which is popularly known as sensitive parameter of CSAPSO is adjusted dynamically in order to increase its precision. A chaotic local search operator is introduced in the proposed algorithm to avoid premature convergence. The effectiveness of the proposed optimization is verified in simulation studies using MAT LAB software. In this proposed work, fuel cost and emission are treated as competing objectives. The applicability and high feasibility of the proposed method is validated on 10 unit test systems. Results of the application of the proposed method are presented in this reported work.