标题:Optimization Control of Internal Combustion Engine-Compressed Air Energy Storage Cogeneration System Based on Genetic Algorithm
作者:Hai, Xiaopeng ;Wei, Xingguo ;Li, Ke ;Gao, Junjie ;Zhang, Chenghui
作者机构:[Hai, Xiaopeng ;Wei, Xingguo ;Li, Ke ;Gao, Junjie ;Zhang, Chenghui ] School of Control Science and Engineering, Shandong University, Jinan; 250061, Ch 更多
会议名称:37th Chinese Control Conference, CCC 2018
会议日期:25 July 2018 through 27 July 2018
来源:Chinese Control Conference, CCC
出版年:2018
卷:2018-July
页码:7514-7519
DOI:10.23919/ChiCC.2018.8483643
关键词:Combined cooling; Compressed air energy storage; Economic analysis; Generation efficiency; Heating and power; Multi - objective genetic algorithm
摘要:In order to make better use of new energy and improve the utilization rate of energy, much concern have been paid to large-scale energy storage and combined cooling, heating and power (CCHP) technology. This study proposes a novel combined cooling, heating and power (CCHP) system with compressed air energy storage(CAES). In order to improve the power generation efficiency and operating economy of the system, the multi-objective optimization algorithm based on genetic algorithm is used to control the output power of the two subsystems. The results show that the efficiency of the gas internal combustion engine can be maintained at a high level, while operating cost is low, the output power can be selected according to the actual requirements. © 2018 Technical Committee on Control Theory, Chinese Association of Automation.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056146402&doi=10.23919%2fChiCC.2018.8483643&partnerID=40&md5=88e55385944f736cadf522ec568d09c0
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