火电厂负荷分配的多目标优化算法分析

Multi-objective Optimization Algorithm Analysis of Load Distribution in Thermal Power Plant

中文关键词: 多目标负荷分配  阀点效应  非支配解集合(PF)  多目标融合  相近剔除  差异保留  逼近理想解排序法(TOPSIS)

英文关键词: multi-objective load distribution  valve point effect  pareto front (PF)  the combination of multi-object  the removal of similar individuals  the reservation of different individuals  TOPSIS

中文摘要:

      本文主要研究了兼顾火电机组经济性与环保性的负荷优化分配算法,建立了考虑阀点效应的多目标负荷分配模型。应用自主编写的算法,获得了待决策的非支配解集合(Pareto Front,PF),其中算法的核心操作是多目标融合、剔除同一层相近个体、保留不同层差异个体。文中给出了6台机组的负荷优化分配算例,仿真结果验证了模型的合理性,并表明本文方法可以进一步减少火电机组煤耗成本和污染物排放量。结合逼近理想解排序法(TOPSIS),讨论了不同目标权重下负荷分配方案的区别,证明了基于TOPSIS的多目标负荷分配方案的确定依赖于各自目标在决策中所占的重要程度。

英文摘要:

      For the problems of poor indoor air quality and high energy consumption in severe cold regions in winter, we designed a heat pipe device with constant air volume (CAV) and energy saving device according to the thermal properties of a heat pipe in this paper; placed the device within a room wall, and two ends of the device connected to the two inlet and outlet ports of the wall separately, one is a fresh air inlet port, the other is a air outlet port; and simulate the indoor airflow characteristic in the condition of similar actual boundary requirement by FLUENT software, then the properties from the heat pipe device simulation are contrasted with those from a fan coil air condition system. The results show that flow velocity dynamic curves are virtually identical while the temperature distribution is different. Taking account in temperature distribution, airstream distribution and energy consumption,the new device presented in this study shows strong research and promotion value.