{"title":"Optimal Operation of Isolated CCHP System Considering Time-Varying Weighting Factors","authors":"Kejing Duan, Wei Wang, Wu Wei, Zhenya Ji","doi":"10.1109/ICPSAsia52756.2021.9621385","DOIUrl":null,"url":null,"abstract":"Nowadays, comprehensive utilization of multiple forms of energy to improve energy efficiency is popularly concerned. To this end, an isolated combined cooling, heating and power (CCHP) system is deeply explored in this paper. Aiming for further optimization of the system according to characteristics of island operation mode, two integrated energy system (IES) evaluation indexes are taken as the objective function. Furthermore, a time-varying weight factor is proposed to calculate multi-objective function and optimize the system scheduling. Case study results demonstrate that the potential benefits of the proposed optimization strategy in terms of operation economics, energy utilization, as well as the load balancing of isolated system.","PeriodicalId":296085,"journal":{"name":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPSAsia52756.2021.9621385","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Nowadays, comprehensive utilization of multiple forms of energy to improve energy efficiency is popularly concerned. To this end, an isolated combined cooling, heating and power (CCHP) system is deeply explored in this paper. Aiming for further optimization of the system according to characteristics of island operation mode, two integrated energy system (IES) evaluation indexes are taken as the objective function. Furthermore, a time-varying weight factor is proposed to calculate multi-objective function and optimize the system scheduling. Case study results demonstrate that the potential benefits of the proposed optimization strategy in terms of operation economics, energy utilization, as well as the load balancing of isolated system.