Hanyang Lin, Ye Guo, Firdous Ul Nazir, Jianguo Zhou, Chi Yung Chung, Nikos Hatziargyriou
{"title":"Optimal Operation of Distribution System Operator and the Impact of Peer-to-Peer Transactions","authors":"Hanyang Lin, Ye Guo, Firdous Ul Nazir, Jianguo Zhou, Chi Yung Chung, Nikos Hatziargyriou","doi":"arxiv-2409.08191","DOIUrl":null,"url":null,"abstract":"Peer-to-peer (P2P) energy trading, commonly recognized as a decentralized\napproach, has emerged as a popular way to better utilize distributed energy\nresources (DERs). In order to better manage this user-side decentralized\napproach from a system operator's point of view, this paper proposes an optimal\noperation approach for distribution system operators (DSO), comprising internal\nprosumers who engage in P2P transactions. The DSO is assumed to be a financial\nneutral entity, holding the responsibility of aggregating the surplus energy\nand deficit demand of prosumers after their P2P transactions while dispatching\nDERs and considering network integrity. Impacts of P2P transactions on DSO's\noptimal operation have been studied. Results indicate that energy matching P2P\ntrading where only the total amount of energy over a given period of time is\ndefined may affect quantities of energy exchanged between the DSO and the\nwholesale market, but not internal dispatch decisions of the DSO. Different\nlevels of real-time power consistency may lead to different total surpluses in\nthe distribution network. For the real-time power matching P2P trading, as a\nspecial case of energy matching P2P trading, the provided energy and total\nsurplus are not affected. In other words, DSO can safely ignore P2P\ntransactions if they follow the format defined in this paper. Case studies\nverify these conclusions and further demonstrate that P2P trading will not\naffect physical power flow of the whole system, but the financial distribution\nbetween the DSO and prosumers.","PeriodicalId":501175,"journal":{"name":"arXiv - EE - Systems and Control","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - EE - Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.08191","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
Peer-to-peer (P2P) energy trading, commonly recognized as a decentralized
approach, has emerged as a popular way to better utilize distributed energy
resources (DERs). In order to better manage this user-side decentralized
approach from a system operator's point of view, this paper proposes an optimal
operation approach for distribution system operators (DSO), comprising internal
prosumers who engage in P2P transactions. The DSO is assumed to be a financial
neutral entity, holding the responsibility of aggregating the surplus energy
and deficit demand of prosumers after their P2P transactions while dispatching
DERs and considering network integrity. Impacts of P2P transactions on DSO's
optimal operation have been studied. Results indicate that energy matching P2P
trading where only the total amount of energy over a given period of time is
defined may affect quantities of energy exchanged between the DSO and the
wholesale market, but not internal dispatch decisions of the DSO. Different
levels of real-time power consistency may lead to different total surpluses in
the distribution network. For the real-time power matching P2P trading, as a
special case of energy matching P2P trading, the provided energy and total
surplus are not affected. In other words, DSO can safely ignore P2P
transactions if they follow the format defined in this paper. Case studies
verify these conclusions and further demonstrate that P2P trading will not
affect physical power flow of the whole system, but the financial distribution
between the DSO and prosumers.