Combined Econo-Emission Dispatch Using Particle Swarm Optimisation

Abstract

The Combined Econo- Emission Dispatch (CEED) problem of thermal power units is solved in this analysis using the traditional Lambda iteration method and the Particle Swarm optimization (PSO) method. The CEED is recast to account for load demand and system boundaries by integrating the fuel cost function, emission function, and weighting factor. Using the IEEE 14 bus and IEEE 30 bus systems, different weighting factor combinations are tested to determine the best values of power generated by each generators. The IEEE standard three and six thermal units are used as test systems for the research under various loading scenarios. The outcomes from the two approaches are compared, and based on the findings, the best combination of weighting factors is chosen.