An Optimal Control of Energy Storage Systems Using Wind Power Prediction
Wind power plants (WPPs) have been rapidly installed worldwide as an alternative source to thermal power plants. Nevertheless, since the outputs of WPPs constantly fluctuates due to variations in wind speed, WPPs expose power systems to power quality degradation, such as frequency fluctuation. This...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Access Journal of Power and Energy |
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| Online Access: | https://ieeexplore.ieee.org/document/10772215/ |
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| author | Kenta Koiwa Tomonori Tashiro Tomoya Ishii Tadanao Zanma Kang-Zhi Liu |
| author_facet | Kenta Koiwa Tomonori Tashiro Tomoya Ishii Tadanao Zanma Kang-Zhi Liu |
| author_sort | Kenta Koiwa |
| collection | DOAJ |
| description | Wind power plants (WPPs) have been rapidly installed worldwide as an alternative source to thermal power plants. Nevertheless, since the outputs of WPPs constantly fluctuates due to variations in wind speed, WPPs expose power systems to power quality degradation, such as frequency fluctuation. This paper develops an optimal control method of energy storage systems (ESSs) that utilizes WPP output prediction to mitigate WPP output fluctuation. In the proposed method, an output reference of ESS can be obtained as the solution of an optimization problem. Specifically, the proposed method regulates the state of charge of ESS within its appropriate range by minimizing a cost function. At the same time, the minimization of ESS output and multiple grid codes related to the mitigation of WPP output fluctuation are considered as constraints. As a result, the proposed method enables us to mitigate the output fluctuation of WPP sufficiently by an ESS with small rated power. The effectiveness of the proposed method is demonstrated through comparative analysis with conventional methods via scenario simulations. |
| format | Article |
| id | doaj-art-57a77977d0fc40c09c6fc6b6010a54c9 |
| institution | Kabale University |
| issn | 2687-7910 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Access Journal of Power and Energy |
| spelling | doaj-art-57a77977d0fc40c09c6fc6b6010a54c92025-01-21T00:03:11ZengIEEEIEEE Open Access Journal of Power and Energy2687-79102024-01-011163765210.1109/OAJPE.2024.350996410772215An Optimal Control of Energy Storage Systems Using Wind Power PredictionKenta Koiwa0https://orcid.org/0000-0003-0840-0896Tomonori Tashiro1Tomoya Ishii2Tadanao Zanma3https://orcid.org/0000-0002-9107-830XKang-Zhi Liu4https://orcid.org/0000-0003-2826-7957Department of Electrical and Electronic Engineering, Chiba University, Chiba, JapanDepartment of Electrical and Electronic Engineering, Chiba University, Chiba, JapanDepartment of Electrical and Electronic Engineering, Chiba University, Chiba, JapanDepartment of Robotics and Mechatronics, School of Science and Technology for Future Life, Tokyo Denki University, Tokyo, JapanDepartment of Electrical and Electronic Engineering, Chiba University, Chiba, JapanWind power plants (WPPs) have been rapidly installed worldwide as an alternative source to thermal power plants. Nevertheless, since the outputs of WPPs constantly fluctuates due to variations in wind speed, WPPs expose power systems to power quality degradation, such as frequency fluctuation. This paper develops an optimal control method of energy storage systems (ESSs) that utilizes WPP output prediction to mitigate WPP output fluctuation. In the proposed method, an output reference of ESS can be obtained as the solution of an optimization problem. Specifically, the proposed method regulates the state of charge of ESS within its appropriate range by minimizing a cost function. At the same time, the minimization of ESS output and multiple grid codes related to the mitigation of WPP output fluctuation are considered as constraints. As a result, the proposed method enables us to mitigate the output fluctuation of WPP sufficiently by an ESS with small rated power. The effectiveness of the proposed method is demonstrated through comparative analysis with conventional methods via scenario simulations.https://ieeexplore.ieee.org/document/10772215/Energy storage systemspower systemswind generationoutput smoothing |
| spellingShingle | Kenta Koiwa Tomonori Tashiro Tomoya Ishii Tadanao Zanma Kang-Zhi Liu An Optimal Control of Energy Storage Systems Using Wind Power Prediction IEEE Open Access Journal of Power and Energy Energy storage systems power systems wind generation output smoothing |
| title | An Optimal Control of Energy Storage Systems Using Wind Power Prediction |
| title_full | An Optimal Control of Energy Storage Systems Using Wind Power Prediction |
| title_fullStr | An Optimal Control of Energy Storage Systems Using Wind Power Prediction |
| title_full_unstemmed | An Optimal Control of Energy Storage Systems Using Wind Power Prediction |
| title_short | An Optimal Control of Energy Storage Systems Using Wind Power Prediction |
| title_sort | optimal control of energy storage systems using wind power prediction |
| topic | Energy storage systems power systems wind generation output smoothing |
| url | https://ieeexplore.ieee.org/document/10772215/ |
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