{"title":"Clearing algorithm for minimum income condition orders on European power exchanges","authors":"Á. Sleisz, D. Raisz","doi":"10.1109/RTUCON.2014.6998204","DOIUrl":null,"url":null,"abstract":"State-of-the-art power exchange designs have to take a large set of economic and technical constraints into consideration. A specific difficulty is that most power generators have non-convex characteristics, for example startup costs and minimal load during operation. Minimum income condition orders constitute a method to represent some of the power plants' corresponding economic interests on energy markets, e.g. on the proposed all-European day-ahead power exchange. However, the non-convexity of these offers can be computationally expensive. A new clearing algorithm is proposed to manage the issue effectively with advanced mathematical tools.","PeriodicalId":259790,"journal":{"name":"2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUCON.2014.6998204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
State-of-the-art power exchange designs have to take a large set of economic and technical constraints into consideration. A specific difficulty is that most power generators have non-convex characteristics, for example startup costs and minimal load during operation. Minimum income condition orders constitute a method to represent some of the power plants' corresponding economic interests on energy markets, e.g. on the proposed all-European day-ahead power exchange. However, the non-convexity of these offers can be computationally expensive. A new clearing algorithm is proposed to manage the issue effectively with advanced mathematical tools.