{"title":"有限流动性即日市场的随机多阶段竞价优化","authors":"Edda Engmark, Hanne Sandven, Stein-Erik Fleten, Gro Klæboe","doi":"10.1109/EEM.2018.8469997","DOIUrl":null,"url":null,"abstract":"This paper describes a multistage stochastic mixed integer programming problem for a hydro power producer that maximizes profit in the low liquid intraday market and balancing market. A comprehensive modelling framework with an internal rolling horizon is presented and the continuous intraday market is modelled using stochastic residual demand curves.","PeriodicalId":334674,"journal":{"name":"2018 15th International Conference on the European Energy Market (EEM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Stochastic Multistage Bidding Optimisation in an Intraday Market with Limited Liquidity\",\"authors\":\"Edda Engmark, Hanne Sandven, Stein-Erik Fleten, Gro Klæboe\",\"doi\":\"10.1109/EEM.2018.8469997\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes a multistage stochastic mixed integer programming problem for a hydro power producer that maximizes profit in the low liquid intraday market and balancing market. A comprehensive modelling framework with an internal rolling horizon is presented and the continuous intraday market is modelled using stochastic residual demand curves.\",\"PeriodicalId\":334674,\"journal\":{\"name\":\"2018 15th International Conference on the European Energy Market (EEM)\",\"volume\":\"31 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 15th International Conference on the European Energy Market (EEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEM.2018.8469997\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 15th International Conference on the European Energy Market (EEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEM.2018.8469997","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stochastic Multistage Bidding Optimisation in an Intraday Market with Limited Liquidity
This paper describes a multistage stochastic mixed integer programming problem for a hydro power producer that maximizes profit in the low liquid intraday market and balancing market. A comprehensive modelling framework with an internal rolling horizon is presented and the continuous intraday market is modelled using stochastic residual demand curves.