Qingqi Sun , Luona Xu , Yuan Chi , Yongjie Luo , Yiyao Zhou , Yao Zou , Qianggang Wang , Niancheng Zhou
{"title":"考虑储能单元分时复用的虚拟增容配电变压器混合规划框架","authors":"Qingqi Sun , Luona Xu , Yuan Chi , Yongjie Luo , Yiyao Zhou , Yao Zou , Qianggang Wang , Niancheng Zhou","doi":"10.1016/j.ijepes.2025.111187","DOIUrl":null,"url":null,"abstract":"<div><div>Conventional (distribution transformers) DT capacity enhancement through replacement with larger units often incurs high investment costs and suboptimal asset utilization. To address these issues, this paper proposes a virtual capacity-enhanced scheme for DTs based on battery (energy storage unit) ESUs. A TDM strategy is introduced to improve ESU operation efficiency, and an optimal configuration model for ESU capacity is proposed to balance economic benefits and operational performance. A hybrid capacity-enhanced decision-making framework is further developed to guide DT capacity enhancement decisions by systematically evaluating virtual, conventional, and combined strategies. Case studies show that the virtual capacity-enhanced DT performs better under low overload conditions. Compared with traditional and purely virtual schemes, the hybrid scheme reduces five-year cumulative costs by 14.18 % and 11.61 %, respectively. In addition, the proposed TDM strategy increases the annual cumulative discharge duration of the ESU by 1233 h, and reduces the average daily peak-to-valley load difference by 6.08 %. In a real-world 10 kV feeder, the hybrid scheme reduces cumulative costs by 21.13 % compared with traditional scheme.</div></div>","PeriodicalId":50326,"journal":{"name":"International Journal of Electrical Power & Energy Systems","volume":"172 ","pages":"Article 111187"},"PeriodicalIF":5.0000,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A hybrid planning framework for virtual capacity-enhanced distribution transformer considering time-division multiplexing of energy storage unit\",\"authors\":\"Qingqi Sun , Luona Xu , Yuan Chi , Yongjie Luo , Yiyao Zhou , Yao Zou , Qianggang Wang , Niancheng Zhou\",\"doi\":\"10.1016/j.ijepes.2025.111187\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Conventional (distribution transformers) DT capacity enhancement through replacement with larger units often incurs high investment costs and suboptimal asset utilization. To address these issues, this paper proposes a virtual capacity-enhanced scheme for DTs based on battery (energy storage unit) ESUs. A TDM strategy is introduced to improve ESU operation efficiency, and an optimal configuration model for ESU capacity is proposed to balance economic benefits and operational performance. A hybrid capacity-enhanced decision-making framework is further developed to guide DT capacity enhancement decisions by systematically evaluating virtual, conventional, and combined strategies. Case studies show that the virtual capacity-enhanced DT performs better under low overload conditions. Compared with traditional and purely virtual schemes, the hybrid scheme reduces five-year cumulative costs by 14.18 % and 11.61 %, respectively. In addition, the proposed TDM strategy increases the annual cumulative discharge duration of the ESU by 1233 h, and reduces the average daily peak-to-valley load difference by 6.08 %. In a real-world 10 kV feeder, the hybrid scheme reduces cumulative costs by 21.13 % compared with traditional scheme.</div></div>\",\"PeriodicalId\":50326,\"journal\":{\"name\":\"International Journal of Electrical Power & Energy Systems\",\"volume\":\"172 \",\"pages\":\"Article 111187\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-09-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Electrical Power & Energy Systems\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0142061525007355\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Electrical Power & Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0142061525007355","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A hybrid planning framework for virtual capacity-enhanced distribution transformer considering time-division multiplexing of energy storage unit
Conventional (distribution transformers) DT capacity enhancement through replacement with larger units often incurs high investment costs and suboptimal asset utilization. To address these issues, this paper proposes a virtual capacity-enhanced scheme for DTs based on battery (energy storage unit) ESUs. A TDM strategy is introduced to improve ESU operation efficiency, and an optimal configuration model for ESU capacity is proposed to balance economic benefits and operational performance. A hybrid capacity-enhanced decision-making framework is further developed to guide DT capacity enhancement decisions by systematically evaluating virtual, conventional, and combined strategies. Case studies show that the virtual capacity-enhanced DT performs better under low overload conditions. Compared with traditional and purely virtual schemes, the hybrid scheme reduces five-year cumulative costs by 14.18 % and 11.61 %, respectively. In addition, the proposed TDM strategy increases the annual cumulative discharge duration of the ESU by 1233 h, and reduces the average daily peak-to-valley load difference by 6.08 %. In a real-world 10 kV feeder, the hybrid scheme reduces cumulative costs by 21.13 % compared with traditional scheme.
期刊介绍:
The journal covers theoretical developments in electrical power and energy systems and their applications. The coverage embraces: generation and network planning; reliability; long and short term operation; expert systems; neural networks; object oriented systems; system control centres; database and information systems; stock and parameter estimation; system security and adequacy; network theory, modelling and computation; small and large system dynamics; dynamic model identification; on-line control including load and switching control; protection; distribution systems; energy economics; impact of non-conventional systems; and man-machine interfaces.
As well as original research papers, the journal publishes short contributions, book reviews and conference reports. All papers are peer-reviewed by at least two referees.