M. M, D. Bhaskar, R. Krishan, Jisha Krishnan, N. Reddy
{"title":"辅助服务用锂离子电池寿命的提高","authors":"M. M, D. Bhaskar, R. Krishan, Jisha Krishnan, N. Reddy","doi":"10.1109/PEDES49360.2020.9379486","DOIUrl":null,"url":null,"abstract":"In recent past, ancillary services gained attention in grid management due to increased intermittent Renewable Energy (RE) integration into the grid. Battery Energy Storage Systems (BESS) are attracted more popularity for the usage of ancillary services support due to its faster response. Since the deployment of various battery technologies are under the pilot stage and not take on large scale installations across the globe, the cost of the BESS is quite expensive. Also, these battery systems have restrictions of operation for a limited number of life cycles. Given the economic aspects and limited life cycle operations, it is essential to utilize the battery systems optimally, efficiently and cost-economically. In this paper, a new algorithm called Dynamic Frequency Regulation (DFR) is proposed which is based on the prediction and historical operating data along with live data profiles. It helps to enhance the life of the battery systems by ensuring the necessary requirements of ancillary services applications. The proposed algorithm simulated through MATLAB and the results are compared with real time Conventional Frequency Regulation (CFR) output of the Li ion battery integrated with the 22kV feeder located at Power grid Puducherry. The life of the battery system is enhanced by 80% more compared to the CFR methodology. Further, the proposed algorithm shall be implemented on real-time grid-connected LiFePO4 BESS of 500KW/250kWh capacity established by POWERGRID at Puducherry, India.","PeriodicalId":124226,"journal":{"name":"2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Lifetime Enhancement of Li-Ion Batteries used for Ancillary Services\",\"authors\":\"M. M, D. Bhaskar, R. Krishan, Jisha Krishnan, N. Reddy\",\"doi\":\"10.1109/PEDES49360.2020.9379486\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent past, ancillary services gained attention in grid management due to increased intermittent Renewable Energy (RE) integration into the grid. Battery Energy Storage Systems (BESS) are attracted more popularity for the usage of ancillary services support due to its faster response. Since the deployment of various battery technologies are under the pilot stage and not take on large scale installations across the globe, the cost of the BESS is quite expensive. Also, these battery systems have restrictions of operation for a limited number of life cycles. Given the economic aspects and limited life cycle operations, it is essential to utilize the battery systems optimally, efficiently and cost-economically. In this paper, a new algorithm called Dynamic Frequency Regulation (DFR) is proposed which is based on the prediction and historical operating data along with live data profiles. It helps to enhance the life of the battery systems by ensuring the necessary requirements of ancillary services applications. The proposed algorithm simulated through MATLAB and the results are compared with real time Conventional Frequency Regulation (CFR) output of the Li ion battery integrated with the 22kV feeder located at Power grid Puducherry. The life of the battery system is enhanced by 80% more compared to the CFR methodology. Further, the proposed algorithm shall be implemented on real-time grid-connected LiFePO4 BESS of 500KW/250kWh capacity established by POWERGRID at Puducherry, India.\",\"PeriodicalId\":124226,\"journal\":{\"name\":\"2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PEDES49360.2020.9379486\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDES49360.2020.9379486","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Lifetime Enhancement of Li-Ion Batteries used for Ancillary Services
In recent past, ancillary services gained attention in grid management due to increased intermittent Renewable Energy (RE) integration into the grid. Battery Energy Storage Systems (BESS) are attracted more popularity for the usage of ancillary services support due to its faster response. Since the deployment of various battery technologies are under the pilot stage and not take on large scale installations across the globe, the cost of the BESS is quite expensive. Also, these battery systems have restrictions of operation for a limited number of life cycles. Given the economic aspects and limited life cycle operations, it is essential to utilize the battery systems optimally, efficiently and cost-economically. In this paper, a new algorithm called Dynamic Frequency Regulation (DFR) is proposed which is based on the prediction and historical operating data along with live data profiles. It helps to enhance the life of the battery systems by ensuring the necessary requirements of ancillary services applications. The proposed algorithm simulated through MATLAB and the results are compared with real time Conventional Frequency Regulation (CFR) output of the Li ion battery integrated with the 22kV feeder located at Power grid Puducherry. The life of the battery system is enhanced by 80% more compared to the CFR methodology. Further, the proposed algorithm shall be implemented on real-time grid-connected LiFePO4 BESS of 500KW/250kWh capacity established by POWERGRID at Puducherry, India.