PSO-IIW FOR COMBINED HEAT AND POWER ECONOMIC DISPATCH

This paper presents a Particle Swarm Optimization with Improved Inertia Wight (PSO-IIW) for Combined Heat and Power Economic Dispatch (CHPED) problem. The proposed PSO-IIW technique, which is a population based global search and optimization technique, has been developed to solve the CHPED problem. The CHPED problem is formulated as an optimization problem which is solved by the PSO-IIW technique that has a strong ability to find the most optimistic results. The effectiveness of these algorithms has been tested on system with four power units, two cogeneration units and one heat unit compared to other algorithms such as Real-coded Genetic Algorithm (RGA), Particle Swarm Optimization (PSO) and Evolutionary Programming (EP) techniques for total operating cost. The results show the Particle Swarm Optimization with Improved Inertia Wight is able to achieve a better solution at less computational time.