Omid Pourkhalili, R. Sawhney, S. A. Biyouki, H. Parsian
{"title":"作为电网系统容量源的公用事业规模电池","authors":"Omid Pourkhalili, R. Sawhney, S. A. Biyouki, H. Parsian","doi":"10.1109/SEGE52446.2021.9535072","DOIUrl":null,"url":null,"abstract":"United States Federal Energy Regulatory Commission passed order No. 841 in 2018 that requires energy market operators in their jurisdiction to allow storage resources to be utilized as capacity source. A literature review is performed on grid systems day-ahead order estimates and real-time demand scenarios from the supply chain perspective. We consider an electric grid system integrated with utility scale battery storage to maintain supply and demand balance during the the peak hours, when grid encounters with the most fluctuated demands. Having integrated lithium-ion batteries with grid systems as potential capacity source, meets the real-time demand with minimum real-time orders. Integration of battery storage responds to day-ahead order error through different services such as ancillary and transmission deferral. It consequently minimizes the use of fossil fuels and low efficient real-time power generation emission. We defined all involved resources during the real-time power supply and translated them to mathematical transitions. Then we used a Polynomial linear regression to find a model that describes nonlinear relationship between demand and time. The aforementioned model can be used and simulated for the grid systems aim to implement and integrate the utility scale batteries as capacity source to compensate part or all of real-time orders. The required capacity size is adjustable for different users and their system characteristics such as demand and power dispatch time periods.","PeriodicalId":438266,"journal":{"name":"2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Utility Scale Battery as Capacity Source for Electric Grid Systems\",\"authors\":\"Omid Pourkhalili, R. Sawhney, S. A. Biyouki, H. Parsian\",\"doi\":\"10.1109/SEGE52446.2021.9535072\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"United States Federal Energy Regulatory Commission passed order No. 841 in 2018 that requires energy market operators in their jurisdiction to allow storage resources to be utilized as capacity source. A literature review is performed on grid systems day-ahead order estimates and real-time demand scenarios from the supply chain perspective. We consider an electric grid system integrated with utility scale battery storage to maintain supply and demand balance during the the peak hours, when grid encounters with the most fluctuated demands. Having integrated lithium-ion batteries with grid systems as potential capacity source, meets the real-time demand with minimum real-time orders. Integration of battery storage responds to day-ahead order error through different services such as ancillary and transmission deferral. It consequently minimizes the use of fossil fuels and low efficient real-time power generation emission. We defined all involved resources during the real-time power supply and translated them to mathematical transitions. Then we used a Polynomial linear regression to find a model that describes nonlinear relationship between demand and time. The aforementioned model can be used and simulated for the grid systems aim to implement and integrate the utility scale batteries as capacity source to compensate part or all of real-time orders. 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Utility Scale Battery as Capacity Source for Electric Grid Systems
United States Federal Energy Regulatory Commission passed order No. 841 in 2018 that requires energy market operators in their jurisdiction to allow storage resources to be utilized as capacity source. A literature review is performed on grid systems day-ahead order estimates and real-time demand scenarios from the supply chain perspective. We consider an electric grid system integrated with utility scale battery storage to maintain supply and demand balance during the the peak hours, when grid encounters with the most fluctuated demands. Having integrated lithium-ion batteries with grid systems as potential capacity source, meets the real-time demand with minimum real-time orders. Integration of battery storage responds to day-ahead order error through different services such as ancillary and transmission deferral. It consequently minimizes the use of fossil fuels and low efficient real-time power generation emission. We defined all involved resources during the real-time power supply and translated them to mathematical transitions. Then we used a Polynomial linear regression to find a model that describes nonlinear relationship between demand and time. The aforementioned model can be used and simulated for the grid systems aim to implement and integrate the utility scale batteries as capacity source to compensate part or all of real-time orders. The required capacity size is adjustable for different users and their system characteristics such as demand and power dispatch time periods.