Ying Du, Haijing Zhang, Shenwang Mei, Yazhong Sun, L. Song, Guoliang Li, Yongli Wang, Xu Han
{"title":"Study on Optimization of Comprehensive Energy System Planning Considering Energy Efficiency","authors":"Ying Du, Haijing Zhang, Shenwang Mei, Yazhong Sun, L. Song, Guoliang Li, Yongli Wang, Xu Han","doi":"10.1109/ICMSP53480.2021.9513353","DOIUrl":null,"url":null,"abstract":"As a typical smart energy system, the integrated energy system can promote the in-depth integration of source, grid, and load, and increase the utilization rate of renewable energy. Therefore, the evaluation indicators of the smart energy system should simultaneously reflect the core characteristics of low carbon and high efficiency. This paper takes maximizing the comprehensive energy efficiency level and improving the energy consumption economy as the optimization goals, and proposes a multi-objective planning optimization model for the integrated energy system. Under the constraints of the physical constraints of the equipment and the balance of cooling, heating and power, the energy consumption economy and comprehensive planning and optimization strategies for energy efficiency levels. The analysis of calculation examples shows that the optimal scheduling strategy proposed in this paper can comprehensively improve the cleanliness and efficiency of system energy consumption.","PeriodicalId":153663,"journal":{"name":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSP53480.2021.9513353","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
As a typical smart energy system, the integrated energy system can promote the in-depth integration of source, grid, and load, and increase the utilization rate of renewable energy. Therefore, the evaluation indicators of the smart energy system should simultaneously reflect the core characteristics of low carbon and high efficiency. This paper takes maximizing the comprehensive energy efficiency level and improving the energy consumption economy as the optimization goals, and proposes a multi-objective planning optimization model for the integrated energy system. Under the constraints of the physical constraints of the equipment and the balance of cooling, heating and power, the energy consumption economy and comprehensive planning and optimization strategies for energy efficiency levels. The analysis of calculation examples shows that the optimal scheduling strategy proposed in this paper can comprehensively improve the cleanliness and efficiency of system energy consumption.