{"title":"考虑电厂封存的开放电力市场长期模拟模型","authors":"A. Abani, Nicolas Hary, V. Rious, M. Saguan","doi":"10.1109/EEM.2017.7981984","DOIUrl":null,"url":null,"abstract":"This paper proposes a methodology for modeling mothballing decisions in order to better study the different strategies adopted by power plants owners and their impact on power systems (in particular generation adequacy). A system dynamic approach is adopted to build a model which represents investment, mothballing and shutdown decisions in an energy-only market. The results obtained with the proposed modelling methodology highlight the importance of considering mothballing in long term simulation models of power markets. They show how models which neglect mothballing decisions might overestimate or underestimated the level of available capacity, therefore leading to inappropriate policy choices. The proposed methodology could better inform policymakers on their decisions.","PeriodicalId":416082,"journal":{"name":"2017 14th International Conference on the European Energy Market (EEM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Considering power plants mothballing in long-term simulation models for liberalized power markets\",\"authors\":\"A. Abani, Nicolas Hary, V. Rious, M. Saguan\",\"doi\":\"10.1109/EEM.2017.7981984\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a methodology for modeling mothballing decisions in order to better study the different strategies adopted by power plants owners and their impact on power systems (in particular generation adequacy). A system dynamic approach is adopted to build a model which represents investment, mothballing and shutdown decisions in an energy-only market. The results obtained with the proposed modelling methodology highlight the importance of considering mothballing in long term simulation models of power markets. They show how models which neglect mothballing decisions might overestimate or underestimated the level of available capacity, therefore leading to inappropriate policy choices. The proposed methodology could better inform policymakers on their decisions.\",\"PeriodicalId\":416082,\"journal\":{\"name\":\"2017 14th International Conference on the European Energy Market (EEM)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 14th International Conference on the European Energy Market (EEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEM.2017.7981984\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 14th International Conference on the European Energy Market (EEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEM.2017.7981984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Considering power plants mothballing in long-term simulation models for liberalized power markets
This paper proposes a methodology for modeling mothballing decisions in order to better study the different strategies adopted by power plants owners and their impact on power systems (in particular generation adequacy). A system dynamic approach is adopted to build a model which represents investment, mothballing and shutdown decisions in an energy-only market. The results obtained with the proposed modelling methodology highlight the importance of considering mothballing in long term simulation models of power markets. They show how models which neglect mothballing decisions might overestimate or underestimated the level of available capacity, therefore leading to inappropriate policy choices. The proposed methodology could better inform policymakers on their decisions.