摘要
针对性能随时间衰减的锅炉蒸汽系统循环调度问题进行了相应的数学建模。结合模型具有整型变量、非线性程度高的特点,提出最速下降近似线性规划算法(SDALP)。该算法在传统近似线性规划的基础上引入了最速下降法目的性搜索的思想,重新定义了缩小调整变量边界的判断条件和边界调整途径。最后采用该算法对某电厂锅炉蒸汽循环调度实例进行了仿真优化,结果表明:新优化算法计算得到的调度方案比原调度方案更优,且节能效果明显。
A mathematical model for cyclic scheduling problem of the boiler system with decaying performance was built.Considering the characteristics of existing integer variables and high nonlinearity degree in this model,a new steepest descent-approximate linear programming(SDALP)algorithm was proposed,which having the purposeful search idea and rapid convergence of the steepest descent method introduced based on traditional approximate linear programming method,and having judgment conditions and the way of boundary adjustment redefined.Simulation in practice shows that the new algorithm outperforms the old scheduling scheme along with obvious energy-saving effect.
出处
《化工自动化及仪表》
CAS
2012年第10期1292-1295,1327,共5页
Control and Instruments in Chemical Industry
关键词
循环调度
最速下降近似线性规划
非线性规划
cyclic scheduling,steepest descent-approximate linear programming,nonlinear programming
