Open Access
Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
---|---|---|
Article Number | 02003 | |
Number of page(s) | 12 | |
Section | Renewable Energy and New Energy Technology | |
DOI | https://doi.org/10.1051/e3sconf/202019402003 | |
Published online | 15 October 2020 |
- He Shi-en, Zheng Wei, Zhi Yong, et al. Power quality issues of large-scale cluster wind power integration[J]. Power System Protection and Control, 2013, 41(2):39-44. [Google Scholar]
- Zhang Liying, Ye Tinglu, Xin Yaozhong, et al. Problems and measures of power grid accommodating large scale wind power[J]. Proceedings of the CSEE, 2010, 30(25):1-9(in Chinese) [Google Scholar]
- Yuan Xiaoming, Cheng Shijie, Wen Jinyu, Prospects analysis of energy storage application in grid integration of large-scale wind power[J]. Automation of electric power systems, 2013, 37(1):14-18. [Google Scholar]
- JANNATI M, HOSSEINIAN S.H., VAHIDI B, et al. ADALINE (ADAptive Linear NEuron)-based coordinated control for wind power fluctuations smoothing with reduced BESS (battery energy storage system) capacity[J]. Energy, 2016, 101: 1-8. [Google Scholar]
- Zhang Ye, Guo Li, Jia Hongjie, et al. A new battery energy storage system control method based on SOC and variable filter time constant[J]. Automation of Electric Power Systems, 2012, 36(6: 34-38.. [Google Scholar]
- Shi Linjun, Zhou Jiajia, Wen Rongchao, et al. Power smoothing control of wind power based on combination of empirical mode decomposition and wavelet analysis[J]. Power System Protection and Control, 2016, 44(24) :9-16 [Google Scholar]
- Wang Xiaodong, Zhang Lei, Yao Xingjia, et al. Afuzzy adaptive Kalman filter based power control strategy of energy storage system for wind farm[J]. Power System Technology, 2014, 38 (6) :1465-1470. [Google Scholar]
- Yang Xiyun, Cao Chao, Li Xiangjun, et al. Control strategy of smoothing wind power output using battery energy storage system based on fuzzy empirical mode decomposition[J]. Electric Power Construction, 2016, 37 (8) :134-140. [Google Scholar]
- Liu Liyang, Wu Junji, Meng Shaoliang. A Rolling Dispatch Model for Wind Power Integrated [Google Scholar]
- Khalid M, Savkin A.V.. A model predictive control approach to the problem of wind power smoothing with controlled battery storage[J]. Renewable Energy, 2010, 35(7: 1520-1526. [Google Scholar]
- Liu Yingming, Wang Wei, Wang Xiaodong, et al. A Fuzzy Control Strategy Combined With Wind Power Prediction and Energy Storage SOE for Smoothing Wind Power Output[J]. Power System Technology, 2019,43(7):2535-2543 [Google Scholar]
- Guo Ziqiang, Economical Cycle Life for Lead-acid Batteries[J]. Marine Electric & Electronic Engineering, 2014, 34(2):13-16. [Google Scholar]
- Gao Fei, Yang Kai, Hui dong, et al. Cycle-life Energy Analysis of LiFePO4 Batteries for Energy Storage[J]. Proceedings of the CSEE, 2013, 33(5):41-45. [Google Scholar]
- Han Xiaojuan, Chen Cheng, Ji Tianming, et al. Capacity Optimal Modeling of Hybrid Energy Storage Systems Considering Battery Life[J]. Proceedings of the CSEE, 2013, 33(34):91-97. [Google Scholar]
- Bin Yang, Yu Jingmei, et al. A Real-time Rain Flow Algorithm and Its Application to State of Health Modeling for LiCoO2 Lithium-ion Batteries[J]. Proceedings of the CSEE, 2017,37(12):269-277+334. [Google Scholar]
- Zhang Xinsong, Gu Juping, Yuan Yue, et al. Strategy of smoothing wind power fluctuation based on battery energy storage system[J]. Proceedings of the CSEE, 2014, 34 (28) :4752-4760. [Google Scholar]
- Zhang Zhuyao, Guo Xiaoli, Zhang Xinsong, et al. Strategy of smoothing wind power fluctuation based on storage battery[J]. Power System Protection and Control, 2017, 45(3): 62-68. [Google Scholar]
- Sun Yushu, Zhang Guowei, Tang Xisheng, et a1. Research on MPC and daul energy storage control strategies with wind power fluctuation mitigation[J]. Transactions of China Electrotechnical Society, 2019, 34(3): 571-578.. [Google Scholar]
- Jiang Ping, Xiong Huachuan, A control scheme design for smoothing wind power fluctuation with hybrid energy storage system[J]. Automation of electric power systems, 2013, 37(1):122-127. [Google Scholar]
- Zhang Qing, Li Xinran, Yang Ming, et al. Capacity Determination of Hybrid Energy Storage System for Smoothing Wind Power Fluctuations with Maximum Net Benefit[J]. Transactions of China Electrotechnical Society, 2016, 31(14: 40-48. [Google Scholar]
- Fu Juxia, Chen Jie, Teng Yangxin, et al. Energy Management Coordination Control Strategy for Wind Power Hybrid Energy Storage System Based on EEMD[J]. Transactions of China Electrotechnical Society, 2019, 34(10: 2038-2046. [Google Scholar]
- Li Yanan, Wang Qian, Song Wenfeng, et al. Variational mode decomposition and fuzzy control strategy of hybrid energy storage for smoothing wind power outputs [J]. Power System Protection and Control, 2019, 47(07):65-72. [Google Scholar]
- Sun Yushu, Tang Xisheng, Sun Xiaozhe, Jia Dongqiang, Wang Ping, Zhang Guowei, Research on Multi-type Energy Storage Coordination Control Strategy Based on MPC-HHT[J]. Proceedings of the CSEE, 2018,38(09):2580-2588+2826. [Google Scholar]
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