{"title":"能源网络:欧洲最优跨境贸易的建模框架","authors":"C. Spataru, J. Bialek","doi":"10.1109/PESGM.2014.6939199","DOIUrl":null,"url":null,"abstract":"Understanding of gas and electricity networks and interconnected systems requires a benchmark system to test different methodologies. A mathematical modeling framework has been formulated for energy networks and solutions for optimal cross-border European trades were derived. The results show the importance of combining gas and electricity networks to assess cross-border trade to minimize risk and ensure security across borders and match supply with demand whilst minimizing cost for transmission, but also to provide a unified European energy market. Comparison of simulation results shows a good agreement when compared with the actual data, with an overall correlation of over 90%. A range of supplies options under different conditions can be explored with the dynamic model to ensure a reliable network configuration over the coming decades. This tool could be used in risk limiting dispatch analysis for decision makers to assess operational uncertainties in generation, demand and future trade.","PeriodicalId":149134,"journal":{"name":"2014 IEEE PES General Meeting | Conference & Exposition","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Energy networks: A modelling framework for European optimal cross-border trades\",\"authors\":\"C. Spataru, J. Bialek\",\"doi\":\"10.1109/PESGM.2014.6939199\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding of gas and electricity networks and interconnected systems requires a benchmark system to test different methodologies. A mathematical modeling framework has been formulated for energy networks and solutions for optimal cross-border European trades were derived. The results show the importance of combining gas and electricity networks to assess cross-border trade to minimize risk and ensure security across borders and match supply with demand whilst minimizing cost for transmission, but also to provide a unified European energy market. Comparison of simulation results shows a good agreement when compared with the actual data, with an overall correlation of over 90%. A range of supplies options under different conditions can be explored with the dynamic model to ensure a reliable network configuration over the coming decades. This tool could be used in risk limiting dispatch analysis for decision makers to assess operational uncertainties in generation, demand and future trade.\",\"PeriodicalId\":149134,\"journal\":{\"name\":\"2014 IEEE PES General Meeting | Conference & Exposition\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE PES General Meeting | Conference & Exposition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PESGM.2014.6939199\",\"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 PES General Meeting | Conference & Exposition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PESGM.2014.6939199","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy networks: A modelling framework for European optimal cross-border trades
Understanding of gas and electricity networks and interconnected systems requires a benchmark system to test different methodologies. A mathematical modeling framework has been formulated for energy networks and solutions for optimal cross-border European trades were derived. The results show the importance of combining gas and electricity networks to assess cross-border trade to minimize risk and ensure security across borders and match supply with demand whilst minimizing cost for transmission, but also to provide a unified European energy market. Comparison of simulation results shows a good agreement when compared with the actual data, with an overall correlation of over 90%. A range of supplies options under different conditions can be explored with the dynamic model to ensure a reliable network configuration over the coming decades. This tool could be used in risk limiting dispatch analysis for decision makers to assess operational uncertainties in generation, demand and future trade.