Combined Heat and Power Economic Dispatch by using Modified Particle Swarm Optimization

Abstract

The main objective of Combined Heat and Power (CHP) generation scheduling is the optimal generation with the combination of heat and power units for the minimization of generation cost, along with the satisfaction of heat and power demand constraints and load demand. The efficiency of thermal only unit is relatively less, hence to increase the efficiency of overall system cogeneration units is used. For cogeneration units heat is a primary output and can further be utilized to produce secondary generation without the involvement of extra heat. It can also be utilized as process heat in manufacturing industries. In CHP generation scheduling, heat and power being the non-separable units, constraint handling becomes a difficult task. Along with this, the complexity of the problem increases when multiple CHP systems are taken into consideration. In the underlying work, Modified Particle Swarm Optimization (MPSO) has been used to solve CHPED problem. Although PSO is a well recognized optimization technique, still for multi modal problems, it can strike to a local optimal solution. In the modified PSO, conventional PSO is replaced by Gaussian PSO and Time Variant Acceleration Coefficient (TVAC-PSO). To handle constraints of the problem, exterior penalty factor is used. The modified PSO is tested on well recognized test problem and found satisfactory.