作　　者： ; ; ;

机构地区： 广东工业大学材料与能源学院

出　　处： 《石油学报（石油加工）》 2009年第2期233-240,共8页

摘　　要： 参数的不确定性贯穿蒸汽动力系统运行操作的整个过程是蒸汽动力系统的重要特征,正确处理系统的不确定性因素对于实际系统运行方案的可操作性和经济性具有决定性的影响。分析了蒸汽动力系统运行层次的不确定性因素,针对参数不确定性问题直接建模求解困难的问题,提出了将不确定性参数在其可行域内进行离散化,将不确定性问题转化为确定性问题的方法;建立了不确定性条件下蒸汽动力系统多周期运行优化的混合整数线性规划(MILP)模型;采用提出的问题处理策略分析案例,得到了经济性和可操作性都较好的运行计划方案,证明了模型的可行性和合理性。通过模型计算还能得到运行费用同系统参数不确定性水平之间的关系,进一步为企业运行计划人员提供定量的计划调度指导。 The changes of production planning, market demand, climate, season and uncertain conditions can cause the external demand changes of utility system in certain and uncertain ways, which leads to great difficulties on actual optimal operation management. Most of the previous efforts on the operational planning optimization of utility system focused on certain external changes. However, in order to deal with uncertain external demand changes, empirical equipment backup strategy is applied, which causes operation cost higher in real operation stage than in planning stage. Uncertainty is an important characteristic of utility system and can not be separated from certain factors on operational planning. However, the operational planning problem under uncertainty is complicated and difficult to solve. The authors presented a strategy to decrease the problem search space by discretizing the uncertainty parameters in their feasible region and transferring the uncertainty problem into a certainty problem. A mixed integer linear programming （MILP） model was established for multiperiod operational planning of utility system under parameter uncertainty. A case study showed that by using general algebraic modelng system （GAMS） to solve the operational planning optimization problem the significant savings could be obtained as well as operability could be guaranteed. Furthermore, the operational planning optimization result could present a relation curve for operation cost under different parameter uncertainty levels, which provided a quantitative guidance for planner or scheduler.

关 键 词： 蒸汽动力系统 运行优化 不确定性 混合整数线性规划

领　　域： [化学工程]