{"title":"局部区域分组电网的点对点能源交易","authors":"Haobo Zhang, Hongliang Zhang, Lingyang Song","doi":"10.1145/3323679.3326621","DOIUrl":null,"url":null,"abstract":"In this poster, we consider the Peer-to-Peer (P2P) energy trading in a local area packetized power network (LAPPN), where demander energy subscribers (ESs) can buy energy from supplier ESs or the utility grid (UG). Since the energy is transmitted in the form of power packets in the power channels in a time division multiplex (TDM) manner, the limited channel resources should be considered in the trading. The trading problem is formulated, in which selfish demander ESs compete for power packets and channels to maximize their own utilities, while the controller maximizes the total revenue. To tackle this problem, an iterative auction scheme is proposed, and its effectiveness is validated by simulation.","PeriodicalId":205641,"journal":{"name":"Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing","volume":"281 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Peer-to-Peer Energy Trading for Local Area Packetized Power Network\",\"authors\":\"Haobo Zhang, Hongliang Zhang, Lingyang Song\",\"doi\":\"10.1145/3323679.3326621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this poster, we consider the Peer-to-Peer (P2P) energy trading in a local area packetized power network (LAPPN), where demander energy subscribers (ESs) can buy energy from supplier ESs or the utility grid (UG). Since the energy is transmitted in the form of power packets in the power channels in a time division multiplex (TDM) manner, the limited channel resources should be considered in the trading. The trading problem is formulated, in which selfish demander ESs compete for power packets and channels to maximize their own utilities, while the controller maximizes the total revenue. To tackle this problem, an iterative auction scheme is proposed, and its effectiveness is validated by simulation.\",\"PeriodicalId\":205641,\"journal\":{\"name\":\"Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing\",\"volume\":\"281 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3323679.3326621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3323679.3326621","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Peer-to-Peer Energy Trading for Local Area Packetized Power Network
In this poster, we consider the Peer-to-Peer (P2P) energy trading in a local area packetized power network (LAPPN), where demander energy subscribers (ESs) can buy energy from supplier ESs or the utility grid (UG). Since the energy is transmitted in the form of power packets in the power channels in a time division multiplex (TDM) manner, the limited channel resources should be considered in the trading. The trading problem is formulated, in which selfish demander ESs compete for power packets and channels to maximize their own utilities, while the controller maximizes the total revenue. To tackle this problem, an iterative auction scheme is proposed, and its effectiveness is validated by simulation.
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