Abstract：The hybrid energy storage system (HESS) composed of batteries with supercapacitors is used to mitigate wind power fluctuation, achieving smooth grid-connection of wind power. Firstly, considering the non-linear and unstable fluctuation characteristics of wind power, combining the maximum value of output power variation of wind farm on two time scales of 1 min/10 min, an ensemble empirical mode decomposition (EEMD) method is adopted to realize the adaptive decomposition of wind power and obtain the grid-connected power of wind power and the total power of the HESS. Secondly, according to the output demand of battery and supercapacitor, combined with the state-of-charge (SOC) constraints of energy storage equipment, a coordinated control algorithm for energy management of hybrid energy storage system is proposed to realize the internal power flow in energy storage system. Finally, based on wind power historical data, the effectiveness and reasonableness of the proposed method are verified.
付菊霞, 陈洁, 滕扬新, 邓浩, 孙泽伦. 基于集合经验模态分解的风电混合储能系统能量管理协调控制策略[J]. 电工技术学报, 2019, 34(10): 2038-2046.
Fu Juxia, Chen Jie, Teng Yangxin, Deng Hao, Sun Zelun. Energy Management Coordination Control Strategy for Wind Power Hybrid Energy Storage System Based on EEMD. Transactions of China Electrotechnical Society, 2019, 34(10): 2038-2046.
[1] 胡娟, 杨水丽, 侯朝勇, 等. 规模化储能技术典型示范应用的现状分析与启示[J]. 电网技术, 2015, 39(4): 879-885. Hu Juan, Yang Shuili, Hou Chaoyong, et a1. Present condition analysis on typical demonstration appli- cation of large-scale energy storage technology and its enlightenment[J]. Power System Technology, 2015, 39(4): 879-885. [2] Jiang Quanyuan, Hong Haisheng.Wavelet-based capacity configuration and coordinated control of hybrid energy storage system for smoothing out wind power fluctuations[J]. IEEE Transactions on Power Systems, 2013, 28(2): 1363-1372. [3] 袁铁江, 陈洁, 刘沛汉, 等. 储能系统改善大规模风电场出力波动的策略[J]. 电力系统保护与控制, 2014, 42(4): 47-53. Yuan Tiejiang, Chen Jie, Liu Peihan, et a1. Strategy of improving large-scale wind farm output fluctuation based on energy storage system[J]. Power System Protection and Control, 2014, 42(4): 47-53. [4] 王燕彬, 叶荣, 林章岁, 等. 基于CVaR的风电场群外送输电容量及储能优化配置研究[J]. 电气技术, 2017, 18(11): 69-74, 79. Wang Yanbin, Ye Rong, Lin Zhangsui, et a1. Study on the optimal allocation of output transmission capacity and energy storage capacity of wind farm based on CVaR[J]. Electrical Engineering, 2017, 18(11): 69-74, 79. [5] 李建林, 马会萌, 惠东. 储能技术融合分布式可再生能源的现状及发展趋势[J]. 电工技术学报, 2016, 31(14): 1-10, 20. Li Jianlin, Ma Huimeng, Hui Dong.Present development condition and trends of energy storage technology in the integration of distributed renewable energy[J]. Transactions of China Electrotechnical Society, 2016, 31(14): 1-10, 20. [6] 桑丙玉, 王德顺, 杨波, 等. 平滑新能源输出波动的储能优化配置方法[J]. 中国电机工程学报, 2014, 34(22): 3700-3706. Sang Bingyu, Wang Deshun, Yang Bo, et a1. Optimal allocation of energy storage system for smoothing the output fluctuations of new energy[J]. Proceedings of the CSEE, 2014, 34(22): 3700-3706. [7] 谢俊文, 陆继明, 毛承雄, 等. 基于变平滑时间常数的电池储能系统优化控制方法[J]. 电力系统自动化, 2013, 37(1): 96-102. Xie Junwen, Lu Jiming, Mao Chengxiong, et a1. Optimal control of battery energy storage system based on variable smoothing time constant[J]. Automation of Electric Power Systems, 2013, 37(1): 96-102. [8] 雷珽, 欧阳曾恺, 李征, 等. 平抑风能波动的储能电池SOC与滤波协调控制策略[J]. 电力自动化设备, 2015, 35(7): 126-131. Lei Ting, Ouyang Zengkai, Li Zheng, et a1. Coor- dinated control of battery SOC maintaining and filtering for wind power fluctuation smoothing[J]. Electric Power Automation Equipment, 2015, 35(7): 126-131. [9] 孙玉树, 张国伟, 唐西胜, 等. 风电功率波动平抑下的MPC双储能控制策略研究[J]. 电工技术学报, 2019, 34(3): 571-578. 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. [10] 吴杰, 丁明. 采用自适应小波包分解的混合储能平抑风电波动控制策略[J]. 电力系统自动化, 2017, 41(3): 7-12. Wu Jie, Ding Ming.Wind power fluctuation smoothing strategy of hybrid energy storage system using self-adaptive wavelet packet decomposition[J]. Automation of Electric Power Systems, 2017, 41(3): 7-12. [11] 卢芸, 徐骏. 基于小波包分解的风电混合储能容量配置方法[J]. 电力系统保护与控制, 2016, 44(11): 149-154. Lu Yun, Xu Jun.Wind power hybrid energy storage capacity configuration based on wavelet packet decomposition[J]. Power System Protection and Control, 2016, 44(11): 149-154. [12] 张晴, 李欣然, 杨明, 等. 净效益最大的平抑风电功率波动的混合储能容量配置方法[J]. 电工技术学报, 2016, 31(14): 40-48. Zhang Qing, Li Xinran, Yang Ming, et a1. 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. [13] 严毅, 张承慧, 李珂, 等. 含压缩空气的微网复合储能系统主动控制策略[J]. 电工技术学报, 2017, 32(20): 231-240. Yan Yi, Zhang Chenghui, Li Ke, et a1. An active control strategy for composited energy storage with compressed air energy storage in micro-grid[J]. Transactions of China Electrotechnical Society, 2017, 32(20): 231-240. [14] Ipsakis D, Voutertakis S, Seferlis P, et a1. Power management strategies for a stand-alone power system using renewable energy sources and hydrogen storage[J]. International Journal of Hydrogen Energy, 2009, 34(16): 7081-7095. [15] 吴冠男, 张明理, 徐建源, 等. 考虑抗扰性能的风电混合储能系统协调控制策略研究[J]. 电力系统保护与控制, 2017, 45(22): 164-169. Wu Guannan, Zhang Mingli, Xu Jianyuan, et a1. Study on coordination control of wind power hybrid energy storage system in consideration of anti- disturbance performance[J]. Power System Protection and Control, 2017, 45(22): 164-169. [16] 李军徽, 穆钢, 崔新振, 等. 双锂电池-电容器混合储能系统控制策略设计[J]. 高电压技术, 2015, 41(10): 3224-3232. Li Junhui, Mu Gang, Cui Xinzhen, et a1. Control strategy design of dual lithium battery-capacitor hybrid energy storage system[J]. High Voltage Engineering, 2015, 41(10): 3224-3232. [17] Yang Xiyun, Yue Hong, Ren Jie.Fuzzy empirical mode decomposition for smoothing wind power with battery energy storage system[J]. IFAC-Papers on Line, 2017, 50(1): 8769-8774. [18] Han Xiaojuan, Yu Xiaoling, Liang Yubo, et al.A game theory-based coordination and optimization control methodology for a wind power-generation hybrid energy storary system[J]. Asian Journal of Control, 2018, 20(1): 86-103. [19] 朱永利, 王刘旺. 并行EEMD算法及其在局部放电信号特征提取中的应用[J]. 电工技术学报, 2018, 33(11): 2508-2519. Zhu Yongli, Wang Liuwang.Parallel ensemble empirical mode decomposition and its application in feature extraction of partial discharge signals[J]. Transactions of China Electrotechnical Society, 2018, 33(11): 2508-2519. [20] Lei Jiazhi, Gong Qingwu.Optimal allocation of a hybrid energy storage system considering its dynamic operation characteristics for wind power applications in active distribution networks[J]. International Journal of Energy Research, 2018, 42(13): 4184-4196.
2019, Vol. 34 
