Gao Rui, Guo Hongxia, Yang Ping, Yao Chengwen, Chen Jintao
{"title":"Analysis of the Impact of Trading Pattern on PV Plant Investment in Spot Market","authors":"Gao Rui, Guo Hongxia, Yang Ping, Yao Chengwen, Chen Jintao","doi":"10.1109/POWERCON.2018.8601778","DOIUrl":null,"url":null,"abstract":"With the development of the power market reform in China, the state chooses to carry out spot market pilot in eight provinces. PV(Photovoltaic) plant need to face real-time fluctuating prices in spot market, making the investment decisions become more complicated. Considering recent PV power plant investment don’t involve electricity market environment, this paper proposes three different trading patterns of PV plants: full-power day-ahead market settlement, signing long-term CFD or selling electricity to grid with fixed electricity. The PV plant revenue model uses dynamic investment payback period, internal rate of return and cost-benefit ratio to analyze the impact of different patterns on investment. Case study shows that in power pool, signing CFDs can effectively reduce the investment recovery period of PV plants and improve investment return.","PeriodicalId":260947,"journal":{"name":"2018 International Conference on Power System Technology (POWERCON)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Power System Technology (POWERCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/POWERCON.2018.8601778","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
With the development of the power market reform in China, the state chooses to carry out spot market pilot in eight provinces. PV(Photovoltaic) plant need to face real-time fluctuating prices in spot market, making the investment decisions become more complicated. Considering recent PV power plant investment don’t involve electricity market environment, this paper proposes three different trading patterns of PV plants: full-power day-ahead market settlement, signing long-term CFD or selling electricity to grid with fixed electricity. The PV plant revenue model uses dynamic investment payback period, internal rate of return and cost-benefit ratio to analyze the impact of different patterns on investment. Case study shows that in power pool, signing CFDs can effectively reduce the investment recovery period of PV plants and improve investment return.