Dexuan Zou , Lejie Ma , Fan Li , Haibin Ouyang , Yingying Shao
{"title":"Intelligent managements of the plug-in electric vehicles and pumped storage power station integrated with the dynamic economic emission dispatch","authors":"Dexuan Zou , Lejie Ma , Fan Li , Haibin Ouyang , Yingying Shao","doi":"10.1016/j.cie.2025.110969","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates an enhanced version of the dynamic economic emission dispatch with the charging/discharging of PEVs (DEED-PEV). Based on the limited charging stations and rated charging/discharging power for the PEVs, the charging/discharging power of the PEVs should comply with the capacity limits and be formulated as the variables of DEED-PEV. To avoid large fluctuations of power loads and guarantee steady operation of the power system, a load smooth function is formulated for the accumulated loads. In addition, the stored potential energies in the upstream reservoir are formulated as the variables of DEED-PEV to regulate the electricity outputs/inputs of the pumped storage power station. The electricity of the power grid can be utilized in a more efficient way. A NSGA-III method based on triangular distribution (NSGA-III-TD) and a constraint handling strategy (CHS) are proposed to tackle this issue. The former updates solutions according to triangular distribution in crossover, and the latter repairs infeasible solutions by a series of specific steps. Experimental results suggest that CHS can tackle the constraints efficiently and NSGA-III-TD can obtain the Pareto sets with relatively large hypervolumes and coverage rates in comparison with the other four MOEAs for four DEED-PEVs.</div></div>","PeriodicalId":55220,"journal":{"name":"Computers & Industrial Engineering","volume":"203 ","pages":"Article 110969"},"PeriodicalIF":6.7000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Industrial Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360835225001159","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Intelligent managements of the plug-in electric vehicles and pumped storage power station integrated with the dynamic economic emission dispatch
This paper investigates an enhanced version of the dynamic economic emission dispatch with the charging/discharging of PEVs (DEED-PEV). Based on the limited charging stations and rated charging/discharging power for the PEVs, the charging/discharging power of the PEVs should comply with the capacity limits and be formulated as the variables of DEED-PEV. To avoid large fluctuations of power loads and guarantee steady operation of the power system, a load smooth function is formulated for the accumulated loads. In addition, the stored potential energies in the upstream reservoir are formulated as the variables of DEED-PEV to regulate the electricity outputs/inputs of the pumped storage power station. The electricity of the power grid can be utilized in a more efficient way. A NSGA-III method based on triangular distribution (NSGA-III-TD) and a constraint handling strategy (CHS) are proposed to tackle this issue. The former updates solutions according to triangular distribution in crossover, and the latter repairs infeasible solutions by a series of specific steps. Experimental results suggest that CHS can tackle the constraints efficiently and NSGA-III-TD can obtain the Pareto sets with relatively large hypervolumes and coverage rates in comparison with the other four MOEAs for four DEED-PEVs.
期刊介绍:
Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.