石化企业蒸汽动力系统短期优化调度

Optimal short-term operational planning of steam power systems of petrochemical industry

参数的不确定性贯穿于蒸汽动力系统运行操作的整个过程,它是蒸汽动力系统的重要特征,参数不确定性的处理相对于参数确定性条件要困难很多。针对参数不确定性问题处理困难的特点,建立了蒸汽动力系统短期多周期运行优化模型。运用改进的粒子群优化算法对建立的模型进行优化求解,得到了经济性和可操作性都较好的运行计划方案,进一步为企业运行计划人员提供定量的计划调度指导。

Uncertainty is an important characteristic of the steam power system and exists in the whole process.It is very difficult to separate the uncertainty factor from the certainty factors and to solve the operational planning problem under uncertainty.A short-term multi-period optimization model for the steam power systems was established and solved by using the improved particle swarm optimization（IPSO） algorithm.The feasibility and rationality of the model was solved based on the IPSO method.A better operational planning was attained to provide guidance quantificationally for the operating plan.Key wrods： steam power system;short-terml;multi-period;optimization;improved particle swarm optimization