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基于节点非结构模型的换热网络结构多样性分析及改进优化策略
引用本文:韩正恒,崔国民,章伟杰,赵倩倩,肖媛,张冠华.基于节点非结构模型的换热网络结构多样性分析及改进优化策略[J].计算物理,2021,38(4):479-488.
作者姓名:韩正恒  崔国民  章伟杰  赵倩倩  肖媛  张冠华
作者单位:1. 上海理工大学能源与动力工程学院, 上海 2000932. 上海市动力工程多相流动与传热重点实验室, 上海 2000933. 上海发电设备成套设计研究院有限责任公司, 上海 200093
基金项目:国家自然科学基金(21978171);国家自然科学基金(51976126);中国博士后科学基金(2020M671171)
摘    要:强制进化随机游走算法优化换热网络过程中会出现个体结构相似现象,导致种群结构多样性下降,算法全局搜索能力不足,难以进一步优化换热网络结构。针对基于节点非结构模型的换热网络结构相似现象展开研究,制定两个评价指标衡量优化过程中个体结构相似水平,发现个体结构内相似换热单元数逐步增加,而相似换热单元的热负荷差距逐步减小,个体结构相似水平越来越高。基于此,以提升种群多样性为指导,提出换热单元排斥性进化策略,通过增大相似换热单元的热负荷差距,激励相似换热单元的差异性进化,从而改变结构进化方向,降低相似结构规模。最后应用20SP和15SP两个算例验证该策略的有效性,结构年综合费用与文献最优结果相比分别下降了12 105$·a-1和52 535$·a-1,说明该策略可以有效提升算法全局搜索能力。

关 键 词:换热网络  种群多样性  排斥性进化  强制进化随机游走算法  
收稿时间:2020-09-17

Structural Diversity Analysis and Improved Optimization Strategy of Heat Exchanger Networks Based on NW-NSM Model
HAN Zhengheng,CUI Guomin,ZHANG Weijie,ZHAO Qianqian,XIAO Yuan,ZHANG Guanhua.Structural Diversity Analysis and Improved Optimization Strategy of Heat Exchanger Networks Based on NW-NSM Model[J].Chinese Journal of Computational Physics,2021,38(4):479-488.
Authors:HAN Zhengheng  CUI Guomin  ZHANG Weijie  ZHAO Qianqian  XIAO Yuan  ZHANG Guanhua
Institution:1. School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China2. Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering, Shanghai 200093, China3. Shanghai Power Equipment Research Institute Co. LTD., Shanghai 200093, China
Abstract:In optimizing heat exchanger networks by random walk algorithm with compulsive evolution (RWCE), individual structures become similar, which leads to a decline in population diversity and algorithmic global search capability. It becames difficult to optimize the structure of heat exchanger networks further. To explore similarity of individual structures, two evaluation indexes were established to measure similarity level of individual structures.It was found that the number of similar heat units in individual structure increases gradually and the difference of heat load between similar heat units decreases during the optimization process which resulting the evolution of individual structures in the same direction. Therefore, taking the improvement of population diversity as guiding direction, a repulsive-evolution strategy for heat units was proposed. It changes the direction of structure evolution and reduces the scale of similar structure through increasing the heat load gap of similar heat exchange units and promoting differential evolution of similar heat exchange units.Finally, 20SP and 15SP were used to verify effectiveness of the strategy. Total annual cost of the structure saved 12 105 $·a-1 and 52 535 $·a-1, respectively, compared with the optimal result in literature, which indicating that the strategy enhances the algorithmic global search capability effectively.
Keywords:heat exchanger networks  population diversity  repulsive evolution  random walk algorithm with compulsive evolution  
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