{"title":"Optimal Capacity Adjustments in Electricity Market Models – An Iterative Approach Based on Operational Margins and the Relevant Supply Stack","authors":"B. Böcker, R. Leisen, C. Weber","doi":"10.2139/ssrn.3329411","DOIUrl":null,"url":null,"abstract":"The modelling of energy systems often has to balance two aspects. High level of detail, e.g. technical constraints on the one hand and analysis of long-term system optimization on the other. When focusing on one of the two aspects, models can be solved in a reasonable time. In order to combine both aspects in one model we use a problem-specific iterative approach. A detailed system model is linked to iterative adjustments of investments. This is based on a subgradient method of optimization. The approach can be described as a detailed dispatch model with adjustments towards an investment model. The results show that the algorithm is quite efficient for a stylized model. For a larger model, performance is not yet sufficient for day-to-day practical use, but several elements for further improvement are identified.","PeriodicalId":299310,"journal":{"name":"Econometrics: Mathematical Methods & Programming eJournal","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Econometrics: Mathematical Methods & Programming eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3329411","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 modelling of energy systems often has to balance two aspects. High level of detail, e.g. technical constraints on the one hand and analysis of long-term system optimization on the other. When focusing on one of the two aspects, models can be solved in a reasonable time. In order to combine both aspects in one model we use a problem-specific iterative approach. A detailed system model is linked to iterative adjustments of investments. This is based on a subgradient method of optimization. The approach can be described as a detailed dispatch model with adjustments towards an investment model. The results show that the algorithm is quite efficient for a stylized model. For a larger model, performance is not yet sufficient for day-to-day practical use, but several elements for further improvement are identified.