电力系统及其自动化学报2011，Vol.23Issue(3)：40-44,5.
火电厂负荷优化分配的模拟退火粒子群算法
Simulated Annealing Particle Swarm Optimization Algorithm of Optimal Load Dispatch in Power Plant
摘要
Abstract
Whether the optimization algorithm of optimal of optimal load dispatch for power plant can be chosenreasonably or not is significant to finish load command of power network dispatching quickly and reduce generation cost in maximum extent. The optimal load dispatch method based on simulated annealing particle swarm optimization algorithm of power plant was proposed by introducing the simulated annealing idea into standard particle swarm optimization algorithm. In addition, the constriction factor is introduced to improve major parameters of the algorithm, the population initialization mode is improved, and the Lagrange multiplier method is adopted to process power balance restraint. The optimal calculation time is reduced and the accuracy of algorithm is enhanced on th basis of meething the constraints strictly. The example results show that the distribution results of simulated annealing particle swarm optimization algorithm saves coal consumption 18. 139 g/(kW· h) compared with power network dispatching,as well as saves coal consumption 2. 846 g/(kW · h)compared with standard particle swarm optimization algorithm. Simultaneously, the computing time is shorter than other conventional algorithm.关键词
火电厂/负荷优化分配/模拟退火粒子群优化算法/粒子群优化算法/模拟退火优化算法Key words
power plant/ optimal lo0ad dispatch/ simulated annealing particle swarm optimization algorithm/particle swarm optimization algorithms simulated annealing optimization algorithm分类
信息技术与安全科学引用本文复制引用
李勇,王建君,曹丽华..火电厂负荷优化分配的模拟退火粒子群算法[J].电力系统及其自动化学报,2011,23(3):40-44,5.基金项目
吉林省科技发展计划项目(20080523) （20080523）
东北电力大学研究生创新基金资助项目 （）
