平抑风电波动的混合储能容量配置及控制策略

doi:10.11930/j.issn.1004-9649.202201073

摘要/Abstract

摘要： 为了平滑风电场输出功率，降低风电波动对电网造成的冲击，利用能量型储能元件电解槽与功率型储能元件超级电容相结合形成的混合储能系统对风电波动进行平抑。首先对大量时间片段内的储能出力进行概率统计分析，通过并网功率波动率在风电波动限值范围内的概率变化评估风电波动平抑效果，将给定置信水平的输出功率作为混合储能额定功率。在此基础上，通过考虑经济性的自适应滑动窗口算法将混合储能功率分解，进而确定超级电容的额定容量以及电解槽的额定功率，实现了兼顾经济性和波动平抑效果的容量配置。其次，依据超级电容的荷电状态、电解槽额定功率、储能系统总体功率指令制定混合储能系统的运行控制策略。最后结合风电场实际运行数据，仿真验证了所提方法可以实现功率分配、保证储能各元件正常运行，同时有效降低了风电输出功率的波动。

关键词: 混合储能系统, 风电功率波动, 容量配置, 协调运行控制

Abstract: In order to smooth the output power of wind farms and reduce the influence of wind power fluctuations on power grid, a hybrid energy storage system consisting of energy-based energy storage element electrolyzer and power-based energy storage element supercapacitor is adopted to smooth wind power fluctuations. Firstly, the energy storage output in a large number of time slots is analyzed by probability statistics, and the smoothing effect of wind power fluctuation is evaluated by the probability change of the grid-connected power fluctuation within the limit of wind power fluctuation, and the power at a given confidence level is taken as the rated power of the hybrid energy storage. On this basis, the hybrid energy storage power is decomposed by the adaptive sliding window algorithm considering the economy, and the rated capacity of the supercapacitor and the rated power of the electrolyzer are determined, so as to realize the capacity allocation which takes into account the economy and fluctuation stability effect. Secondly, based on the charging state of the supercapacitor, the rated power of the electrolytic cell and the overall power command of the energy storage system, the operation control strategy of the hybrid energy storage system is formulated. Finally, the simulations results show that this method can effectively reduce the fluctuation of wind power while realizing the power distribution and ensuring the normal operation of each energy storage module.

Key words: hybrid energy storage system, wind power fluctuation, capacity configuration, coordinated operation control

徐衍会, 徐宜佳. 平抑风电波动的混合储能容量配置及控制策略[J]. 中国电力, 2022, 55(6): 186-193.

XU Yanhui, XU Yijia. Capacity Configuration and Control Strategy of Hybrid Energy Storage to Smooth Wind Power Fluctuations[J]. Electric Power, 2022, 55(6): 186-193.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202201073

https://www.electricpower.com.cn/CN/Y2022/V55/I6/186

参考文献

[1] 周孝信, 陈树勇, 鲁宗相, 等. 能源转型中我国新一代电力系统的技术特征[J]. 中国电机工程学报, 2018, 38(7): 1893–1904,2205
ZHOU Xiaoxin, CHEN Shuyong, LU Zongxiang, et al. Technology features of the new generation power system in China[J]. Proceedings of the CSEE, 2018, 38(7): 1893–1904,2205
[2] 李相俊, 马会萌, 姜倩. 新能源侧储能配置技术研究综述[J]. 中国电力, 2022, 55(1): 13–25
LI Xiangjun, MA Huimeng, JIANG Qian. Review of energy storage configuration technology on renewable energy side[J]. Electric Power, 2022, 55(1): 13–25
[3] 张旭, 王洪涛. 高比例可再生能源电力系统的输配协同优化调度方法[J]. 电力系统自动化, 2019, 43(3): 67–75,115
ZHANG Xu, WANG Hongtao. Optimal dispatch method of transmission and distribution coordination for power systems with high proportion of renewable energy[J]. Automation of Electric Power Systems, 2019, 43(3): 67–75,115
[4] 葛维春, 张艳军, 高超, 等. 基于风电消纳能力态势划分的源荷储系统分阶段优化策略[J]. 电力系统自动化, 2019, 43(15): 26–33,70
GE Weichun, ZHANG Yanjun, GAO Chao, et al. Phased optimal strategy of source-load-storage system based on state partition of accommodation capacity of wind power[J]. Automation of Electric Power Systems, 2019, 43(15): 26–33,70
[5] 贾伟青, 任永峰, 薛宇, 等. 基于小波包-模糊控制的混合储能平抑大型风电场功率波动[J]. 太阳能学报, 2021, 42(9): 357–363
JIA Weiqing, REN Yongfeng, XUE Yu, et al. Wavelet packet-fuzzy control of hybrid energy storage for power fluctuation smoothing of large wind farm[J]. Acta Energiae Solaris Sinica, 2021, 42(9): 357–363
[6] SUN Y S, TANG X S, SUN X Z, et al. Model predictive control and improved low-pass filtering strategies based on wind power fluctuation mitigation[J]. Journal of Modern Power Systems and Clean Energy, 2019, 7(3): 512–524.
[7] 孙伟卿, 罗静, 张婕. 高比例风电接入的电力系统储能容量配置及影响因素分析[J]. 电力系统保护与控制, 2021, 49(15): 9–18
SUN Weiqing, LUO Jing, ZHANG Jie. Energy storage capacity allocation and influence factor analysis of a power system with a high proportion of wind power[J]. Power System Protection and Control, 2021, 49(15): 9–18
[8] 帅挽澜, 朱自伟, 李雪萌, 等. 考虑风电消纳的综合能源系统“源-网-荷-储”协同优化运行[J]. 电力系统保护与控制, 2021, 49(19): 18–26
SHUAI Wanlan, ZHU Ziwei, LI Xuemeng, et al. “Source-network-load-storage” coordinated optimization operation for an integrated energy system considering wind power consumption[J]. Power System Protection and Control, 2021, 49(19): 18–26
[9] 纪项钟. 基于风力发电的混合储能系统的控制策略研究[D]. 北京: 华北电力大学(北京), 2021.
JI Xiangzhong. Research on control strategy of hybrid energy storage system based on wind power[D]. Beijing: North China Electric Power University, 2021.
[10] 王苏蓬, 张新慧, 吴文浩, 等. 用于风电平抑的混合储能选型和容量优化配置方法[J]. 智慧电力, 2021, 49(9): 16–23
WANG Supeng, ZHANG Xinhui, WU Wenhao, et al. Hybrid energy storage selection and capacity optimization configuration method for wind power smoothing[J]. Smart Power, 2021, 49(9): 16–23
[11] 郭金金, 吴红斌. 平抑风电波动的混合储能协调优化控制方法[J]. 太阳能学报, 2016, 37(10): 2695–2702
GUO Jinjin, WU Hongbin. Optimal coordination control method of hybrid energy storage to smooth wind power fluctuation[J]. Acta Energiae Solaris Sinica, 2016, 37(10): 2695–2702
[12] 杨子龙, 宋振浩, 潘静, 等. 分布式光伏/储能系统多运行模式协调控制策略[J]. 中国电机工程学报, 2019, 39(8): 2213–2220
YANG Zilong, SONG Zhenhao, PAN Jing, et al. Multi-mode coordinated control strategy of distributed PV and energy storage system[J]. Proceedings of the CSEE, 2019, 39(8): 2213–2220
[13] 潘光胜, 顾伟, 张会岩, 等. 面向高比例可再生能源消纳的电氢能源系统[J]. 电力系统自动化, 2020, 44(23): 1–10
PAN Guangsheng, GU Wei, ZHANG Huiyan, et al. Electricity and hydrogen energy system towards accomodation of high proportion of renewable energy[J]. Automation of Electric Power Systems, 2020, 44(23): 1–10
[14] MORIARTY P, HONNERY D. Intermittent renewable energy: the only future source of hydrogen?[J]. International Journal of Hydrogen Energy, 2007, 32(12): 1616–1624.
[15] 李建林, 李光辉, 梁丹曦, 等. “双碳目标”下可再生能源制氢技术综述及前景展望[J]. 分布式能源, 2021, 6(5): 1–9
LI Jianlin, LI Guanghui, LIANG Danxi, et al. Review and prospect of hydrogen production technology from renewable energy under targets of carbon peak and carbon neutrality[J]. Distributed Energy, 2021, 6(5): 1–9
[16] 江全元, 龚裕仲. 储能技术辅助风电并网控制的应用综述[J]. 电网技术, 2015, 39(12): 3360–3368
JIANG Quanyuan, GONG Yuzhong. Review of wind power integration control with energy storage technology[J]. Power System Technology, 2015, 39(12): 3360–3368
[17] 梁亮, 李建林, 惠东. 大型风电场用储能装置容量的优化配置[J]. 高电压技术, 2011, 37(4): 930–936
LIANG Liang, LI Jianlin, HUI Dong. Optimization configuration for capacity of energy storage system in large-scale wind farm[J]. High Voltage Engineering, 2011, 37(4): 930–936
[18] 李彦哲, 郭小嘉, 董海鹰, 等. 风/光/储微电网混合储能系统容量优化配置[J]. 电力系统及其自动化学报, 2020, 32(6): 123–128
LI Yanzhe, GUO Xiaojia, DONG Haiying, et al. Optimal capacity configuration of wind/PV/storage hybrid energy storage system in microgrid[J]. Proceedings of the CSU-EPSA, 2020, 32(6): 123–128
[19] BAKHTIARI H, NAGHIZADEH R A. Multi-criteria optimal sizing of hybrid renewable energy systems including wind, photovoltaic, battery, and hydrogen storage with ?-constraint method[J]. IET Renewable Power Generation, 2018, 12(8): 883–892.
[20] 王森, 蔺红. 基于变系数ES的混合储能平抑风电波动控制策略[J]. 太阳能学报, 2019, 40(11): 3204–3212
WANG Sen, LIN Hong. Control strategy of hybrid energy storage to stabilize wind power fluctuation based on variable coefficient exponential smoothing method[J]. Acta Energiae Solaris Sinica, 2019, 40(11): 3204–3212
[21] 闫晓金. 独立光伏发电混合储能系统功率转换控制研究[J]. 可再生能源, 2020, 38(10): 1368–1374
YAN Xiaojin. Research on power control for hybrid energy storage of photovoltaic generation system[J]. Renewable Energy Resources, 2020, 38(10): 1368–1374
[22] 国家市场监督管理总局, 国家标准化管理委员会. 风电场接入电力系统技术规定第1部分: 陆上风电: GB/T 19963.1—2021[S]. 北京: 中国标准出版社, 2021.
[23] 贾成真, 王灵梅, 孟恩隆, 等. 基于风电场集中储能的风储柔性控制策略研究[J]. 电力系统保护与控制, 2018, 46(6): 30–37
JIA Chengzhen, WANG Lingmei, MENG Enlong, et al. Research on flexible control strategy based on the centralized storage joint with wind farm[J]. Power System Protection and Control, 2018, 46(6): 30–37
[24] 陈裕, 张怡, 谢俊峰. 自适应滑动平均与小波包分解平抑风电波动[J]. 控制工程, 2021, 28(7): 1281–1288
CHEN Yu, ZHANG Yi, XIE Junfeng. Adaptive moving average and wavelet packet decomposition to smooth wind power fluctuation[J]. Control Engineering of China, 2021, 28(7): 1281–1288
[25] 鄂志君, 王桂林, 李振斌, 等. 提升新能源电网消纳水平的混合储能系统优化控制方法[J]. 电力系统及其自动化学报, 2021, 33(3): 132–137
E Zhijun, WANG Guilin, LI Zhenbin, et al. Optimization control method for hybrid energy storage system to enhance the renewable energy absorption level of power grid[J]. Proceedings of the CSU-EPSA, 2021, 33(3): 132–137