Abstract: Steam power system should be designed with the objectives of economy and system operability to copy with some uncertain variations.A novel optimization design strategy considering both deterministic and uncertain variations was proposed,and a Mixed Integer Linear Programming (MILP) model was formulated.The deterministic variations of steam and power demands due to seasons or product solutions would cause the design to be a multi-period problem.The uncertain prices fluctuation of fuel and power were decomposed into discrete items in the modeling setting.As to each period, uncertain steam and power demands were also involved in the optimization objective and constraints in the form of discrete demands with corresponding weights.The proposed design strategy was used to design a steam power system in a petrochemical plant.Compared with the traditional strategy design result, the proposed design provided multi-period scheduling arrangements to meet uncertain demands under different conditions,saved the total cost and realized an economic and operational optimization design of a practical steam power system.

Key words: steam power system, uncertain demands, multi-period, deterministic variation

摘要： 蒸汽动力系统优化设计不仅要保证系统全周期总费用最小,还要保证系统具有一定可操作性应对各种不确定变工况影响。本文提出了同时考虑汽电需求确定性多周期变化以及燃料、电力价格,汽电需求不确定性变化的蒸汽动力系统优化设计策略,专门提出不确定变化参数对优化目标及约束的影响以及数学表达,建立混合整数线性规划(MILP)优化模型进行求解,并应用于某石化企业蒸汽动力系统优化设计。实例设计结果表明,与按照传统策略设计结果相比,应用本文提出的考虑不确定参数的设计策略获得的优化方案,具体设计了针对不确定因素实现而对应的运行调度安排,降低年总费用,保证系统安全稳定运行,实现经济性和可操作性综合最优。

关键词: 蒸汽动力系统, 不确定需求, 多周期, 确定性变化