With the increase of installed capacity of wind power in China, the randomness and fluctuation of wind power output power make the grid frequency modulation more difficult. To solve this problem, a hybrid energy storage system composed of lithium batteries and super-capacitors is used to stabilize the wind power output. This study focuses on the smoothing strategies and capacity configuration methods of hybrid energy storage system, which is of great significance to increase its utilization rate and reduce energy storage capacity. An empirical wavelet decomposition method is used to decompose the wind farm output power data and obtain the charging and discharging instructions of hybrid energy storage system. For the smoothing power of energy storage system, high frequency decomposition is carried out with the lowest cost as the target to obtain the capacity optimization strategy of different types of energy storage. This study also analyzes the typical 8-day output power data of a wind farm and optimizes the power and capacity allocation of lithium battery and supercapacitor through combining numerical examples with wind power system grid power calculation. The numerical examples verify the effectiveness of the proposed smoothing method and capacity optimization algorithm.
| Published in | International Journal of Energy and Power Engineering (Volume 12, Issue 6) |
| DOI | 10.11648/j.ijepe.20231206.13 |
| Page(s) | 100-108 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Wind Power Fluctuation, Hybrid Energy Storage System (HESS), Empirical Wavelet Decomposition (EWD), Empirical Mode Decomposition (EMD), Wavelet Decomposition
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APA Style
Lv, Z., Wang, Z., An, C. (2023). Research on Wind Energy Fluctuation Stabilization and Hybrid Energy Storage Capacity Optimization Strategy Based on EWD. International Journal of Energy and Power Engineering, 12(6), 100-108. https://doi.org/10.11648/j.ijepe.20231206.13
ACS Style
Lv, Z.; Wang, Z.; An, C. Research on Wind Energy Fluctuation Stabilization and Hybrid Energy Storage Capacity Optimization Strategy Based on EWD. Int. J. Energy Power Eng. 2023, 12(6), 100-108. doi: 10.11648/j.ijepe.20231206.13
AMA Style
Lv Z, Wang Z, An C. Research on Wind Energy Fluctuation Stabilization and Hybrid Energy Storage Capacity Optimization Strategy Based on EWD. Int J Energy Power Eng. 2023;12(6):100-108. doi: 10.11648/j.ijepe.20231206.13
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Download@article{10.11648/j.ijepe.20231206.13,
author = {Zhaorui Lv and Zhiyong Wang and Changhe An},
title = {Research on Wind Energy Fluctuation Stabilization and Hybrid Energy Storage Capacity Optimization Strategy Based on EWD},
journal = {International Journal of Energy and Power Engineering},
volume = {12},
number = {6},
pages = {100-108},
doi = {10.11648/j.ijepe.20231206.13},
url = {https://doi.org/10.11648/j.ijepe.20231206.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepe.20231206.13},
abstract = {With the increase of installed capacity of wind power in China, the randomness and fluctuation of wind power output power make the grid frequency modulation more difficult. To solve this problem, a hybrid energy storage system composed of lithium batteries and super-capacitors is used to stabilize the wind power output. This study focuses on the smoothing strategies and capacity configuration methods of hybrid energy storage system, which is of great significance to increase its utilization rate and reduce energy storage capacity. An empirical wavelet decomposition method is used to decompose the wind farm output power data and obtain the charging and discharging instructions of hybrid energy storage system. For the smoothing power of energy storage system, high frequency decomposition is carried out with the lowest cost as the target to obtain the capacity optimization strategy of different types of energy storage. This study also analyzes the typical 8-day output power data of a wind farm and optimizes the power and capacity allocation of lithium battery and supercapacitor through combining numerical examples with wind power system grid power calculation. The numerical examples verify the effectiveness of the proposed smoothing method and capacity optimization algorithm.
},
year = {2023}
}
TY - JOUR T1 - Research on Wind Energy Fluctuation Stabilization and Hybrid Energy Storage Capacity Optimization Strategy Based on EWD AU - Zhaorui Lv AU - Zhiyong Wang AU - Changhe An Y1 - 2023/12/22 PY - 2023 N1 - https://doi.org/10.11648/j.ijepe.20231206.13 DO - 10.11648/j.ijepe.20231206.13 T2 - International Journal of Energy and Power Engineering JF - International Journal of Energy and Power Engineering JO - International Journal of Energy and Power Engineering SP - 100 EP - 108 PB - Science Publishing Group SN - 2326-960X UR - https://doi.org/10.11648/j.ijepe.20231206.13 AB - With the increase of installed capacity of wind power in China, the randomness and fluctuation of wind power output power make the grid frequency modulation more difficult. To solve this problem, a hybrid energy storage system composed of lithium batteries and super-capacitors is used to stabilize the wind power output. This study focuses on the smoothing strategies and capacity configuration methods of hybrid energy storage system, which is of great significance to increase its utilization rate and reduce energy storage capacity. An empirical wavelet decomposition method is used to decompose the wind farm output power data and obtain the charging and discharging instructions of hybrid energy storage system. For the smoothing power of energy storage system, high frequency decomposition is carried out with the lowest cost as the target to obtain the capacity optimization strategy of different types of energy storage. This study also analyzes the typical 8-day output power data of a wind farm and optimizes the power and capacity allocation of lithium battery and supercapacitor through combining numerical examples with wind power system grid power calculation. The numerical examples verify the effectiveness of the proposed smoothing method and capacity optimization algorithm. VL - 12 IS - 6 ER -
Mechanical and Electrical Engineering Division, Wenhua College, Wuhan, China
The Fourth Military Representative Office, NEO, Shanghai, China
Mechanical and Electrical Engineering Division, Wenhua College, Wuhan, China
