{"title":"印度石油零售网点太阳能光伏电动汽车电池交换站的优化规模与运行","authors":"Vigneshkumar B, Anu G. Kumar","doi":"10.1109/ICICICT54557.2022.9917711","DOIUrl":null,"url":null,"abstract":"India has enormous potential for implementing solar PV and Electric vehicles (EVs); however, the stochastic nature of PV and EV complicates their integration into the distribution system. Moreover, EVs presently have significant drawbacks, such as long charging time and a limited range. This paper presents a case study on developing a cost-effective model for implementing EV charger-installed PV-powered Petroleum Retail Outlets (PRO) in India. The case study considers the design and operational aspects of five evolutionary stages of PV-based Battery Swapping Station (BSS) deployment in PRO. The optimal charging methodology for the PV-based BSS under Real-time pricing (RTP) for demand and ToD based Feed-in Tariff (ToD-FIT) for solar feed-in is obtained using a COIN-OR-based Linear Programming algorithm. The optimized solar PV capacity payback period and LCOE are computed for different cases. The study result shows that the proposed model benefits all stakeholders from a capital expenditure and operational expenditure perspective. It is replicable across India as it gives stakeholders an optimal techno-economic model to implement PV-based BSS at PROs.","PeriodicalId":246214,"journal":{"name":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimal Sizing and Operation of Solar PV powered EV Battery Swapping Station for Indian Petroleum Retail Outlet\",\"authors\":\"Vigneshkumar B, Anu G. Kumar\",\"doi\":\"10.1109/ICICICT54557.2022.9917711\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"India has enormous potential for implementing solar PV and Electric vehicles (EVs); however, the stochastic nature of PV and EV complicates their integration into the distribution system. Moreover, EVs presently have significant drawbacks, such as long charging time and a limited range. This paper presents a case study on developing a cost-effective model for implementing EV charger-installed PV-powered Petroleum Retail Outlets (PRO) in India. The case study considers the design and operational aspects of five evolutionary stages of PV-based Battery Swapping Station (BSS) deployment in PRO. The optimal charging methodology for the PV-based BSS under Real-time pricing (RTP) for demand and ToD based Feed-in Tariff (ToD-FIT) for solar feed-in is obtained using a COIN-OR-based Linear Programming algorithm. The optimized solar PV capacity payback period and LCOE are computed for different cases. The study result shows that the proposed model benefits all stakeholders from a capital expenditure and operational expenditure perspective. It is replicable across India as it gives stakeholders an optimal techno-economic model to implement PV-based BSS at PROs.\",\"PeriodicalId\":246214,\"journal\":{\"name\":\"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICICICT54557.2022.9917711\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICICT54557.2022.9917711","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimal Sizing and Operation of Solar PV powered EV Battery Swapping Station for Indian Petroleum Retail Outlet
India has enormous potential for implementing solar PV and Electric vehicles (EVs); however, the stochastic nature of PV and EV complicates their integration into the distribution system. Moreover, EVs presently have significant drawbacks, such as long charging time and a limited range. This paper presents a case study on developing a cost-effective model for implementing EV charger-installed PV-powered Petroleum Retail Outlets (PRO) in India. The case study considers the design and operational aspects of five evolutionary stages of PV-based Battery Swapping Station (BSS) deployment in PRO. The optimal charging methodology for the PV-based BSS under Real-time pricing (RTP) for demand and ToD based Feed-in Tariff (ToD-FIT) for solar feed-in is obtained using a COIN-OR-based Linear Programming algorithm. The optimized solar PV capacity payback period and LCOE are computed for different cases. The study result shows that the proposed model benefits all stakeholders from a capital expenditure and operational expenditure perspective. It is replicable across India as it gives stakeholders an optimal techno-economic model to implement PV-based BSS at PROs.