Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approach
Abstract Data centers are usually characterized by high energy loads, which raises increasing sustainability concerns in both academic and daily usage. To mitigate the uncertainty and high volatility of distributed wind energy generation, this paper proposes a hybrid energy storage allocation strate...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-02-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-53101-4 |
| _version_ | 1797274979916578816 |
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| author | Xiuyu Yang Xiaoyu Ye Zhongzheng Li Xiaobin Wang Xinfu Song Mengke Liao Xueyuan Liu Qi Guo |
| author_facet | Xiuyu Yang Xiaoyu Ye Zhongzheng Li Xiaobin Wang Xinfu Song Mengke Liao Xueyuan Liu Qi Guo |
| author_sort | Xiuyu Yang |
| collection | DOAJ |
| description | Abstract Data centers are usually characterized by high energy loads, which raises increasing sustainability concerns in both academic and daily usage. To mitigate the uncertainty and high volatility of distributed wind energy generation, this paper proposes a hybrid energy storage allocation strategy by means of the Empirical Mode Decomposition (EMD) technique and the two-stage robust method. First, this paper conducts the evolution analyses for the over- and under-evaluated uncertainty of wind power fluctuation under different time scales. Second, we employ the EMD technique to configure a high-frequency flywheel energy storage device, realizing the wind power transformation from large fluctuations to small fluctuations and the convergence of the wind power fluctuation curves in minute- and hour levels. Finally, based on the hour-level wind energy stable power curves, we carry out two-stage robust planning for the equipment capacity of low-frequency cold storage tanks and lithium bromide chillers. The case study on a data center microgrid in northeastern China confirms the effectiveness of our proposed strategy. |
| first_indexed | 2024-03-07T15:06:50Z |
| format | Article |
| id | doaj.art-08f72af6574d4dbfbac61e6bebead360 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-07T15:06:50Z |
| publishDate | 2024-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-08f72af6574d4dbfbac61e6bebead3602024-03-05T18:50:27ZengNature PortfolioScientific Reports2045-23222024-02-0114111910.1038/s41598-024-53101-4Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approachXiuyu Yang0Xiaoyu Ye1Zhongzheng Li2Xiaobin Wang3Xinfu Song4Mengke Liao5Xueyuan Liu6Qi Guo7School of Electrical Engineering, Northeast Electric Power UniversitySchool of Electrical Engineering, Northeast Electric Power UniversityState Grid Xinjiang Electric Power Co., Ltd. Economic Technology Research InstituteState Grid Xinjiang Electric Power Co., Ltd. Economic Technology Research InstituteState Grid Xinjiang Electric Power Co., Ltd. Economic Technology Research InstituteState Grid Xinjiang Electric Power Co., Ltd. Economic Technology Research InstituteState Grid Hebi Power Supply CompanyState Grid Hebi Power Supply CompanyAbstract Data centers are usually characterized by high energy loads, which raises increasing sustainability concerns in both academic and daily usage. To mitigate the uncertainty and high volatility of distributed wind energy generation, this paper proposes a hybrid energy storage allocation strategy by means of the Empirical Mode Decomposition (EMD) technique and the two-stage robust method. First, this paper conducts the evolution analyses for the over- and under-evaluated uncertainty of wind power fluctuation under different time scales. Second, we employ the EMD technique to configure a high-frequency flywheel energy storage device, realizing the wind power transformation from large fluctuations to small fluctuations and the convergence of the wind power fluctuation curves in minute- and hour levels. Finally, based on the hour-level wind energy stable power curves, we carry out two-stage robust planning for the equipment capacity of low-frequency cold storage tanks and lithium bromide chillers. The case study on a data center microgrid in northeastern China confirms the effectiveness of our proposed strategy.https://doi.org/10.1038/s41598-024-53101-4 |
| spellingShingle | Xiuyu Yang Xiaoyu Ye Zhongzheng Li Xiaobin Wang Xinfu Song Mengke Liao Xueyuan Liu Qi Guo Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approach Scientific Reports |
| title | Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approach |
| title_full | Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approach |
| title_fullStr | Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approach |
| title_full_unstemmed | Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approach |
| title_short | Hybrid energy storage configuration method for wind power microgrid based on EMD decomposition and two-stage robust approach |
| title_sort | hybrid energy storage configuration method for wind power microgrid based on emd decomposition and two stage robust approach |
| url | https://doi.org/10.1038/s41598-024-53101-4 |
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