A Novel Combined Economic and Emission Dispatch Control by Hybrid Particle Swarm Optimization Technique

The problem of Economic Dispatch (ED) in electric power systems is to schedule the power output for each committed generator unit such that the operating cost is minimized and simultaneously, the customer load demand is matched and the generator operating limits are met. Nowadays with increasing awareness of environmental pollution caused by burning of fossil fuels, emission of pollutants is also a criterion for economic dispatch of the plants. The environmental objective of generation dispatch is to minimize the total environmental cost or the total pollutant emission. This paper presents an efficient and simple approach for solving the emission constrained economic dispatch problem using the proposed Hybrid Particle Swarm Optimization Technique (HPSO). The convergence and usefulness of the proposed HPSO is demonstrated through its application to a test system. The computational results reveal that the proposed algorithm has an excellent convergence characteristic and has the potential to apply to other power system problems.

Keywords:

M.E ( Powere system) , Economic dispatch , en , Emission Constraints , Hybrid Particle Swarm Optimization