{"title":"优化配电网络中预定数量电池储能系统的布局和大小⁎","authors":"Somesh Bhattacharya , Cedric Caruana , Reiko Raute , Alexander Micallef","doi":"10.1016/j.ifacol.2024.07.456","DOIUrl":null,"url":null,"abstract":"<div><p>Increased deployment of distributed renewable energy on distribution networks has become a popular approach in the effort towards decarbonisation. The paper addresses the challenges related to voltage deviation and power loss resulting from higher levels of photovoltaic systems (PV) penetration. Battery Energy Storage Systems (BESS) provide a flexible solution to enhance network performance. The paper develops a novel methodology for the optimal placement and sizing of a set number of BESS units on the network. The methodology is intended to assist Distribution Network Operators (DNOs) in planning the optimal deployment of a specified number of BESS units. The problem is modelled as a mixed-integer linear program with conic relaxation approach. Numerical simulations are carried out to demonstrate the usefulness of the proposed approach with the help of the IEEE 33-bus network utilising 3, 5 and 7 BESS units. The paper examines the BESS requirements and performance as the set number of units deployed is varied.</p></div>","PeriodicalId":37894,"journal":{"name":"IFAC-PapersOnLine","volume":"58 13","pages":"Pages 38-43"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S240589632400555X/pdf?md5=a43408b2b1206ece47b54ee4ae63069d&pid=1-s2.0-S240589632400555X-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Optimising the placement and sizing of a predefined number of battery energy storage systems on Distribution Networks⁎\",\"authors\":\"Somesh Bhattacharya , Cedric Caruana , Reiko Raute , Alexander Micallef\",\"doi\":\"10.1016/j.ifacol.2024.07.456\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Increased deployment of distributed renewable energy on distribution networks has become a popular approach in the effort towards decarbonisation. The paper addresses the challenges related to voltage deviation and power loss resulting from higher levels of photovoltaic systems (PV) penetration. Battery Energy Storage Systems (BESS) provide a flexible solution to enhance network performance. The paper develops a novel methodology for the optimal placement and sizing of a set number of BESS units on the network. The methodology is intended to assist Distribution Network Operators (DNOs) in planning the optimal deployment of a specified number of BESS units. The problem is modelled as a mixed-integer linear program with conic relaxation approach. Numerical simulations are carried out to demonstrate the usefulness of the proposed approach with the help of the IEEE 33-bus network utilising 3, 5 and 7 BESS units. The paper examines the BESS requirements and performance as the set number of units deployed is varied.</p></div>\",\"PeriodicalId\":37894,\"journal\":{\"name\":\"IFAC-PapersOnLine\",\"volume\":\"58 13\",\"pages\":\"Pages 38-43\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S240589632400555X/pdf?md5=a43408b2b1206ece47b54ee4ae63069d&pid=1-s2.0-S240589632400555X-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IFAC-PapersOnLine\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S240589632400555X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IFAC-PapersOnLine","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S240589632400555X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
Optimising the placement and sizing of a predefined number of battery energy storage systems on Distribution Networks⁎
Increased deployment of distributed renewable energy on distribution networks has become a popular approach in the effort towards decarbonisation. The paper addresses the challenges related to voltage deviation and power loss resulting from higher levels of photovoltaic systems (PV) penetration. Battery Energy Storage Systems (BESS) provide a flexible solution to enhance network performance. The paper develops a novel methodology for the optimal placement and sizing of a set number of BESS units on the network. The methodology is intended to assist Distribution Network Operators (DNOs) in planning the optimal deployment of a specified number of BESS units. The problem is modelled as a mixed-integer linear program with conic relaxation approach. Numerical simulations are carried out to demonstrate the usefulness of the proposed approach with the help of the IEEE 33-bus network utilising 3, 5 and 7 BESS units. The paper examines the BESS requirements and performance as the set number of units deployed is varied.
期刊介绍：
All papers from IFAC meetings are published, in partnership with Elsevier, the IFAC Publisher, in theIFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service. This series includes papers previously published in the IFAC website.The main features of the IFAC-PapersOnLine series are: -Online archive including papers from IFAC Symposia, Congresses, Conferences, and most Workshops. -All papers accepted at the meeting are published in PDF format - searchable and citable. -All papers published on the web site can be cited using the IFAC PapersOnLine ISSN and the individual paper DOI (Digital Object Identifier). The site is Open Access in nature - no charge is made to individuals for reading or downloading. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. All papers published in IFAC-PapersOnLine have undergone a peer review selection process according to the IFAC rules.
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