Erik B. Rudlang, Carl Fredrik Tjeransen, Stein-Erik Fleten, Gro Klaboe
{"title":"Value of price dependent bidding for thermal power producers","authors":"Erik B. Rudlang, Carl Fredrik Tjeransen, Stein-Erik Fleten, Gro Klaboe","doi":"10.1109/EEM.2014.6861245","DOIUrl":null,"url":null,"abstract":"The steady increase in the short-term trading of electricity through power exchanges has made the investigation of appropriate bidding strategies relevant. The goal of this paper is to quantify the difference between price-dependent and price-independent bidding strategies for thermal power producers. The two bidding strategies are evaluated for trading in the German-Austrian day ahead market. Optimal bidding decisions are found through two stochastic optimization models. The results indicate that the price-dependent bids outperform the price-independent bids by utilizing the flexibility in the generators to increase production in the case of price peaks and reduce production for price drops.","PeriodicalId":261127,"journal":{"name":"11th International Conference on the European Energy Market (EEM14)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th International Conference on the European Energy Market (EEM14)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEM.2014.6861245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The steady increase in the short-term trading of electricity through power exchanges has made the investigation of appropriate bidding strategies relevant. The goal of this paper is to quantify the difference between price-dependent and price-independent bidding strategies for thermal power producers. The two bidding strategies are evaluated for trading in the German-Austrian day ahead market. Optimal bidding decisions are found through two stochastic optimization models. The results indicate that the price-dependent bids outperform the price-independent bids by utilizing the flexibility in the generators to increase production in the case of price peaks and reduce production for price drops.