{"title":"A Generic Benchmark for Power Market Analysis From Generation Mix To End-Users","authors":"R. Rigo-Mariani, K. Ling, J. Maciejowski","doi":"10.1109/ACEPT.2018.8610802","DOIUrl":null,"url":null,"abstract":"This paper presents a benchmark to model power systems market mechanisms from the generation mix to the end-users. The objective is to develop a platform that can help solving long-term planning problems. The operation described here is the joined day-ahead (DA) clearing for the wholesale market and the individual optimal scheduling of end-users equipped with distributed solar generation and storage. The implemented methods lie on linear programming whose fast computation allows to consider the decentralized control of an important number of end-users. Several scenarios are investigated with different retail prices and CO2 mitigation policies as well as different sizes for the decentralized assets at the end-users’ level","PeriodicalId":296432,"journal":{"name":"2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Asian Conference on Energy, Power and Transportation Electrification (ACEPT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACEPT.2018.8610802","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a benchmark to model power systems market mechanisms from the generation mix to the end-users. The objective is to develop a platform that can help solving long-term planning problems. The operation described here is the joined day-ahead (DA) clearing for the wholesale market and the individual optimal scheduling of end-users equipped with distributed solar generation and storage. The implemented methods lie on linear programming whose fast computation allows to consider the decentralized control of an important number of end-users. Several scenarios are investigated with different retail prices and CO2 mitigation policies as well as different sizes for the decentralized assets at the end-users’ level