Improved Particle Swarm Optimization for Combined Heat and Power Economic Dispatch


Ho Chi Minh City University of Technology


This paper presents eight improved particle swarm optimization (IPSO) algorithms for solving combined heat and power economic dispatch (CHPED) problem with valve point loading effects on fuel cost function of pure power units and power losses in transmission system. The main objective of the problem is to find the power output of the pure power units, the heat output of the pure heat units and both power and heat outputs of cogeneration units so that the total fuel cost is minimized while satisfying power and heat demands and power and heat limits. The proposed IPSO algorithms are based on some modifications on the parameters and the use of Cauchy distribution. The effectiveness of the proposed IPSO methods have been validated through five different test systems including three systems with quadratic fuel cost function of pure power units neglecting transmission losses, and two systems with nonconvex fuel cost function of pure power units considering transmission losses. The result comparisons between the proposed IPSO methods and other methods in the literature have indicated that the proposed methods can obtain higher solution quality with faster computational time than many other methods. Therefore, the proposed IPSO methods would be very efficient methods for solving the nonconvex CHPED problem.