EN飞轮储能辅助压缩空气储能一次调频仿真研究
Simulation Study of Primary Frequency Modulation of Compressed Air Energy Storage Assisted by Flywheel Energy Storage
- 动力工程学报 2025年45卷第2期 页码：232-239
- 作者机构：
1. 深能南京能源控股有限公司,江苏,南京,210000
2. 华北电力大学 先进飞轮储能技术研究中心,北京,102206
- 作者简介：
[ "宋顺一(1966—),男,高级工程师,硕士,主要从事新能源发电及储能相关领域的研究" ]
- 基金信息：
DOI：10.19805/j.cnki.jcspe.2025.230702
中图分类号： TK02;TM73-
网络出版：2025-02-15，
纸质出版：2025
- 稿件说明：
移动端阅览
宋顺一,乔天舒,梁双印,胡三高,柳亦兵. 飞轮储能辅助压缩空气储能一次调频仿真研究动力工程学报, 2025, 45(2): 232-239 https://doi.
org/10.19805/j.cnki.jcspe.2025.230702
宋顺一,乔天舒,梁双印,胡三高,柳亦兵. 飞轮储能辅助压缩空气储能一次调频仿真研究动力工程学报, 2025, 45(2): 232-239 https://doi. DOI： 10.19805/j.cnki.jcspe.2025.230702.
org/10.19805/j.cnki.jcspe.2025.230702 DOI：
摘要
压缩空气储能是一种优质的电网调节电源
其调峰能力较强而调频能力较弱
为缓解可再生能源发电大量接入所带来的频率问题
利用功率型飞轮储能辅助压缩空气储能机组运行
提高压缩空气储能机组的调频能力。给出了发电机组的简化频率计算模型、飞轮储能系统及压缩空气储能机组模型、区域电网频率控制模型
对不同飞轮容量配置模型组成的区域电网频率特性进行了仿真实验。结果表明:飞轮储能系统的加入提高了压缩空气储能机组的一次调频性能。
Abstract
Compressed air energy storage (CAES)is a high-quality power source for grid regulation with strong peak-regulating capability and weak frequency-regulating capability
in order to alleviate the frequency problem caused by the large scale integration of renewable energy power generation. In this regard
power type flywheel energy storage was utilized to assist the operation of compressed air energy storage units to improve their frequency regulation capability. A simplified frequency calculation model of generating units
flywheel energy storage system
compressed air energy storage unit model and regional power grid frequency control model were given. Simulation experiments were carried out on the frequency characteristics of regional power grid composed of different flywheel capacity configuration models. Results show that the inclusion of flywheel energy storage system improves the primary frequency modulation performance of compressed air energy storage unit.
关键词
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references
谢小荣, 马宁嘉, 刘威, 等. 新型电力系统中储能应用功能的综述与展望[J]. 中国电机工程学报, 2023, 43(1): 158-168. XIE Xiaorong, MA Ningjia, LIU Wei, et al. Functions of energy storage in renewable energy dominated power systems: review and prospect[J]. Proceedings of the CSEE, 2023, 43(1): 158-168.
冉鹏, 张森, 王亚瑟, 等. 耦合超临界二氧化碳循环的压缩空气储能冷热电联供系统特性研究[J]. 动力工程学报, 2022, 42(11): 1077-1088. RAN Peng, ZHANG Sen, WANG Yase, et al. Research on the characteristics of combined cooling, heating and power system with compressed air energy storage coupled with supercritical carbon dioxide Brayton cycle[J]. Journal of Chinese Society of Power Engineering, 2022, 42(11): 1077-1088.
文贤馗, 刘石, 李翔, 等. 先进压缩空气储能系统模拟与效率分析[J]. 动力工程学报, 2021, 41(9): 802-808. WEN Xiankui, LIU Shi, LI Xiang, et al. Simulation and efficiency analysis of advanced compressed air energy storage system[J]. Journal of Chinese Society of Power Engineering, 2021, 41(9): 802-808.
陈海生, 李泓, 马文涛, 等. 2021年中国储能技术研究进展[J]. 储能科学与技术, 2022, 11(3): 1052-1076. CHEN Haisheng, LI Hong, MA Wentao, et al. Research progress of energy storage technology in China in 2021[J]. Energy Storage Science and Technology, 2022, 11(3): 1052-1076.
戴兴建, 邓占峰, 刘刚, 等. 大容量先进飞轮储能电源技术发展状况[J]. 电工技术学报, 2011, 26(7): 133-140. DAI Xingjian, DENG Zhanfeng, LIU Gang, et al. Review on advanced flywheel energy storage system with large scale[J]. Transactions of China Electrotechnical Society, 2011, 26(7): 133-140.
周皓, 李军徽, 葛长兴, 等. 改善风电并网电能质量的飞轮储能系统能量管理系统设计[J]. 太阳能学报, 2021, 42(3): 105-113. ZHOU Hao, LI Junhui, GE Changxing, et al. Research on improving power quality of wind power system based on energy management system of flywheel energy storage system[J]. Acta Energiae Solaris Sinica, 2021, 42(3): 105-113.
隋云任, 梁双印, 黄登超, 等. 飞轮储能辅助燃煤机组调频动态过程仿真研究[J]. 中国电机工程学报, 2020, 40(8): 2597-2605. SUI Yunren, LINAG Shuangyin, HUANG Deng-chao, et al. Simulation study on frequency modulation process of coal burning plants with auxiliary of flywheel energy storage[J]. Proceedings of the CSEE, 2020, 40(8): 2597-2605.
武鑫, 杨威鹏, 熊星宇, 等. 辅助核电机组一次调频的飞轮储能阵列容量配置方法[J]. 动力工程学报, 2023, 43(7): 877-884. WU Xin, YANG Weipeng, XIONG Xingyu, et al. Capacity configuration method of flywheel energy storage array for assisting the primary frequency regulation of nuclear power unit[J]. Journal of Chinese Society of Power Engineering, 2023, 43(7): 877-884.
TARAFT S, REKIOUA D, AOUZELLAG D. Wind power control system associated to the flywheel energy storage system connected to the grid[J]. Energy Procedia, 2013, 36: 1147-1157.
张剑云, 李明节. 新能源高渗透的电力系统频率特性分析[J]. 中国电机工程学报, 2020, 40(11): 3498-3506. ZHANG Jianyun, LI Mingjie. Analysis of the frequency characteristic of the power systems highly penetrated by new energy generation[J]. Proceedings of the CSEE, 2020, 40(11): 3498-3506.
王琦, 郭钰锋, 万杰, 等. 适用于高风电渗透率电力系统的火电机组一次调频策略[J]. 中国电机工程学报, 2018, 38(4): 974-984. WANG Qi, GUO Yufeng, WAN Jie, et al. Primary frequency regulation strategy of thermal units for a power system with high penetration wind power[J]. Proceedings of the CSEE, 2018, 38(4): 974-984.
文贤馗, 张鸿福, 杨大慧, 等. 压缩空气储能双向参与电网一次调频研究[J]. 自动化仪表, 2021, 42(12): 67-70, 76. WEN Xiankui, ZHANG Hongfu, YANG Dahui, et al. Research on the bidirectional participation of compressed air energy storage in primary frequency regulation of power grid[J]. Process Automation Instrumentation, 2021, 42(12): 67-70, 76.
张远. 风电与先进绝热压缩空气储能技术的系统集成与仿真研究[D]. 北京: 中国科学院研究生院(工程热物理研究所), 2014.
李盼. 压缩空气储能系统释能过程的动态特性及运行策略研究[D]. 重庆: 重庆大学, 2020.
罗予泽, 胡申华, 吴馥郁, 等. 基于模糊控制的压缩空气储能调频[J]. 电力科学与工程, 2021, 37(12): 28-36. LUO Yuze, HU Shenhua, WU Fuyu, et al. Load frequency control for compressed air energy storage based on fuzzy control[J]. Electric Power Science and Engineering, 2021, 37(12): 28-36.
陆志刚, 王科, 刘怡, 等. 深圳宝清锂电池储能电站关键技术及系统成套设计方法[J]. 电力系统自动化, 2013, 37(1): 65-69, 127. LU Zhigang, WANG Ke, LIU Yi, et al. Research and application of megawatt scale lithium-ion battery energy storage station and key technology[J]. Automation of Electric Power Systems, 2013, 37(1): 65-69, 127.
刘文军, 唐西胜, 周龙, 等. 基于背靠背双PWM变流器的飞轮储能系统并网控制方法研究[J]. 电工技术学报, 2015, 30(16): 120-128. LIU Wenjun, TANG Xisheng, ZHOU Long, et al. Research on grid-connected control method for FESS based on back-to-back converter[J]. Transactions of China Electrotechnical Society, 2015, 30(16): 120-128.
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