A. Edelev, D. Karamov, I. Sidorov, D. V. Binh, N. H. Nam, N. H. Anh, P. Duy, P. Hanh
{"title":"Modelling energy systems of Vietnam with integration of renewable power sources","authors":"A. Edelev, D. Karamov, I. Sidorov, D. V. Binh, N. H. Nam, N. H. Anh, P. Duy, P. Hanh","doi":"10.47350/iccs-de.2019.04","DOIUrl":null,"url":null,"abstract":"The paper addresses the research of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions.","PeriodicalId":210887,"journal":{"name":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Information, Computation, and Control Systems for Distributed Environments","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47350/iccs-de.2019.04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The paper addresses the research of the large-scale penetration of renewable energy into the power system of Vietnam. The proposed approach presents the optimization of operational decisions in different power generation technologies as a Markov decision process. It uses a stochastic base model that optimizes a deterministic lookahead model. The first model applies the stochastic search to optimize the operation of power sources. The second model captures hourly variations of renewable energy over a year. The approach helps to find the optimal generation configuration under different market conditions.