引入LEC寿命管理的汽包锅炉机组负荷分配优化  

Optimization of Drum Boiler Unit Commitment Based on Life Management Strategy Named Life-extending Control

作　　者：李军[1] 王雷[1] 徐治皋[1] 

机构地区：[1]东南大学动力系,江苏省南京市210096

出　　处：《电力系统自动化》2008年第2期93-96,共4页Automation of Electric Power Systems

摘　　要：以煤耗最小为目标函数的优化方法,虽然燃料费用最为节省,但是由于参数波动大且频繁,对机组造成了更大的伤害。文中将寿命延长控制(LEC)概念引入机组负荷分配优化工作中,将汽包寿命损耗考虑到机组负荷分配的优化中,在电网负荷变动越来越剧烈的形势下,这种模型是一种更加符合电厂实际的调峰方案。在寻优过程中,引入随机微粒群算法,该算法适用于快速寻优,能在速度和精度上满足计算要求。计算结果表明,LEC寿命管理方法的结果比平均分配负荷方法每日节省1393元,而寿命损耗却不增加。The model aimed at minimizing coal expenditure can get the lowest coal cost, but simultaneously does more harm to the boiler drum＇s life because of the resulting big and frequent parameters fluctuation. A life-extending control （LEC） strategy is introduced to the unit commitment with life loss considered. Because the power loads vary tougher than before, this model is a more practical unit commitment scheme for power plant. Stochastic particle swarm optimization （SPSO） algorithm is introduced to the optimization process. Since the SPSO algorithm can quickly search the optimal solution, the speed and decision demand can be satisfied simultaneously. The results show that the model proposed can save 1393 yuan per day than mean unit commitment method with less drum life loss than the latter.

关 键 词：负荷分配 寿命延长控制 粒子群算法 汽包寿命 复合滑压 

分 类 号：TM621.2[电气工程—电力系统及自动化]