An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations
As a new type of flexible regulation resource, energy storage systems not only smooth out the fluctuation of new energy generation but also track the generation scheduling combined with new energy power to enhance the reliability of new energy system operations. In recent years, installing energy st...
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Frontiers Media S.A.
2023-01-01
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Series: | Frontiers in Energy Research |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1074916/full |
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author | Bin Li Mingzhe Li Shiye Yan Yifan Zhang Bowen Shi Jilei Ye |
author_facet | Bin Li Mingzhe Li Shiye Yan Yifan Zhang Bowen Shi Jilei Ye |
author_sort | Bin Li |
collection | DOAJ |
description | As a new type of flexible regulation resource, energy storage systems not only smooth out the fluctuation of new energy generation but also track the generation scheduling combined with new energy power to enhance the reliability of new energy system operations. In recent years, installing energy storage for new on-grid energy power stations has become a basic requirement in China, but there is still a lack of relevant assessment strategies and techno-economic evaluation of the size determination of energy storage systems from the perspective of new energy power stations. Therefore, this paper starts from summarizing the role and configuration method of energy storage in new energy power stations and then proposes multidimensional evaluation indicators, including the solar curtailment rate, forecasting accuracy, and economics, which are taken as the optimization targets for configuring energy storage systems in PV power stations. Lastly, taking the operational data of a 4000 MWPV plant in Belgium, for example, we develop six scenarios with different ratios of energy storage capacity and further explore the impact of energy storage size on the solar curtailment rate, PV curtailment power, and economics. The method proposed in this paper is effective for the performance evaluation of large PV power stations with annual operating data, realizes the automatic analysis on the optimal size determination of energy storage system for PV power stations, and verifies the rationality of the principle for configuring energy storage for PV power stations in some regions of China. |
first_indexed | 2024-04-10T22:19:02Z |
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institution | Directory Open Access Journal |
issn | 2296-598X |
language | English |
last_indexed | 2024-04-10T22:19:02Z |
publishDate | 2023-01-01 |
publisher | Frontiers Media S.A. |
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series | Frontiers in Energy Research |
spelling | doaj.art-aeff7e49dfcd4249ab267a94989d8d952023-01-18T04:43:18ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2023-01-011010.3389/fenrg.2022.10749161074916An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stationsBin LiMingzhe LiShiye YanYifan ZhangBowen ShiJilei YeAs a new type of flexible regulation resource, energy storage systems not only smooth out the fluctuation of new energy generation but also track the generation scheduling combined with new energy power to enhance the reliability of new energy system operations. In recent years, installing energy storage for new on-grid energy power stations has become a basic requirement in China, but there is still a lack of relevant assessment strategies and techno-economic evaluation of the size determination of energy storage systems from the perspective of new energy power stations. Therefore, this paper starts from summarizing the role and configuration method of energy storage in new energy power stations and then proposes multidimensional evaluation indicators, including the solar curtailment rate, forecasting accuracy, and economics, which are taken as the optimization targets for configuring energy storage systems in PV power stations. Lastly, taking the operational data of a 4000 MWPV plant in Belgium, for example, we develop six scenarios with different ratios of energy storage capacity and further explore the impact of energy storage size on the solar curtailment rate, PV curtailment power, and economics. The method proposed in this paper is effective for the performance evaluation of large PV power stations with annual operating data, realizes the automatic analysis on the optimal size determination of energy storage system for PV power stations, and verifies the rationality of the principle for configuring energy storage for PV power stations in some regions of China.https://www.frontiersin.org/articles/10.3389/fenrg.2022.1074916/fullPV power stationsolar curtailment rateforecasting accuracyeconomic analysisenergy storage system sizing |
spellingShingle | Bin Li Mingzhe Li Shiye Yan Yifan Zhang Bowen Shi Jilei Ye An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations Frontiers in Energy Research PV power station solar curtailment rate forecasting accuracy economic analysis energy storage system sizing |
title | An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations |
title_full | An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations |
title_fullStr | An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations |
title_full_unstemmed | An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations |
title_short | An optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic (PV) power stations |
title_sort | optimal energy storage system sizing determination for improving the utilization and forecasting accuracy of photovoltaic pv power stations |
topic | PV power station solar curtailment rate forecasting accuracy economic analysis energy storage system sizing |
url | https://www.frontiersin.org/articles/10.3389/fenrg.2022.1074916/full |
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