{"title":"具有储能和间歇供电的发电商电力市场小时前报价策略","authors":"L. Yang, M. Hajiesmaili, Hanling Yi, Minghua Chen","doi":"10.1145/3078505.3078543","DOIUrl":null,"url":null,"abstract":"This paper proposes online offering strategies for a storage-assisted renewable power producer that participates in hour-ahead electricity market. The online strategy determines the offering price and volume, while no exact or stochastic future information is available in a time-coupled setting in the presence of the storage. The proposed online strategy achieves the best possible competitive ratio of O(log θ), where θ is the ratio between the maximum and minimum clearing prices. Trace-driven experiments demonstrate that the proposed strategy achieves close-to-optimal performance.","PeriodicalId":133673,"journal":{"name":"Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Hour-Ahead Offering Strategies in Electricity Market for Power Producers with Storage and Intermittent Supply\",\"authors\":\"L. Yang, M. Hajiesmaili, Hanling Yi, Minghua Chen\",\"doi\":\"10.1145/3078505.3078543\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes online offering strategies for a storage-assisted renewable power producer that participates in hour-ahead electricity market. The online strategy determines the offering price and volume, while no exact or stochastic future information is available in a time-coupled setting in the presence of the storage. The proposed online strategy achieves the best possible competitive ratio of O(log θ), where θ is the ratio between the maximum and minimum clearing prices. Trace-driven experiments demonstrate that the proposed strategy achieves close-to-optimal performance.\",\"PeriodicalId\":133673,\"journal\":{\"name\":\"Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3078505.3078543\",\"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 2017 ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3078505.3078543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hour-Ahead Offering Strategies in Electricity Market for Power Producers with Storage and Intermittent Supply
This paper proposes online offering strategies for a storage-assisted renewable power producer that participates in hour-ahead electricity market. The online strategy determines the offering price and volume, while no exact or stochastic future information is available in a time-coupled setting in the presence of the storage. The proposed online strategy achieves the best possible competitive ratio of O(log θ), where θ is the ratio between the maximum and minimum clearing prices. Trace-driven experiments demonstrate that the proposed strategy achieves close-to-optimal performance.