{"title":"一个最佳的、不那么脆弱的可再生能源投资组合","authors":"L. Pinto, J. Szczupak, Luís Nogueira","doi":"10.1109/ENERGYCON.2014.6850449","DOIUrl":null,"url":null,"abstract":"This paper proposes a model and methodology to mitigate some important risks associated to renewable energy: the climatological uncertainties and system failures. The basic idea is to combine the complementarities of the availabilities of the different sources in order to ensure a more stable, reliable output. Additional risk management constraints, generation/transmission reliability, are also included. A realistic application to the Brazilian long-term expansion planning highlights its advantages and suggests future extensions.","PeriodicalId":410611,"journal":{"name":"2014 IEEE International Energy Conference (ENERGYCON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"An optimal, less vulnerable renewable portfolio\",\"authors\":\"L. Pinto, J. Szczupak, Luís Nogueira\",\"doi\":\"10.1109/ENERGYCON.2014.6850449\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a model and methodology to mitigate some important risks associated to renewable energy: the climatological uncertainties and system failures. The basic idea is to combine the complementarities of the availabilities of the different sources in order to ensure a more stable, reliable output. Additional risk management constraints, generation/transmission reliability, are also included. A realistic application to the Brazilian long-term expansion planning highlights its advantages and suggests future extensions.\",\"PeriodicalId\":410611,\"journal\":{\"name\":\"2014 IEEE International Energy Conference (ENERGYCON)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE International Energy Conference (ENERGYCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ENERGYCON.2014.6850449\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE International Energy Conference (ENERGYCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ENERGYCON.2014.6850449","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper proposes a model and methodology to mitigate some important risks associated to renewable energy: the climatological uncertainties and system failures. The basic idea is to combine the complementarities of the availabilities of the different sources in order to ensure a more stable, reliable output. Additional risk management constraints, generation/transmission reliability, are also included. A realistic application to the Brazilian long-term expansion planning highlights its advantages and suggests future extensions.