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计及火电/压缩空气储能响应特性的混合储能系统二次调频策略
Secondary Frequency Modulation Strategy for Hybrid Energy Storage Systems Considering the Response Characteristics of Thermal Power and Compressed Air Energy Storage
由于高比例新能源大规模并网,电网对频率调节提出了更高要求,针对传统火电机组由于频繁爬坡导致其调频损耗大和经济性差的问题,提出一种计及火电/压缩空气储能(compressed air energy storage, CAES)响应特性的混合储能系统(hybrid energy storage system, HESS)二次调频策略。首先,采用改进自适应完备集合经验模态分解(improved complete ensemble empirical mode decomposition with adaptive noise, ICEEMDAN)和多尺度排列熵(multiscale permutation entropy, MPE)的方法将自动发电控制指令分解为高频分量和低频分量;其次,依据火电机组与CAES在动态响应时间与调节惯性上的相似性提出一种火电-HESS协同控制方法,基于该方法完成高/低频分量在不同机组之间的合理分配,实现对系统调频性能的提升并降低火电机组的出力;最后,通过Matlab/Simulink搭建火电-HESS算例,对所提策略的调频性能和经济性进行仿真验证。仿真结果表明,所提策略可在二次调频过程中充分发挥火电/CAES相似性的特点,以及HESS兼备快速响应和大容量的优势,有效降低和平滑火电机组出力,提升火电-HESS的调频性能及经济效益。
With the large-scale integration of high-penetration renewable energy into the power grid, there are increasing demands for frequency regulation. To address the issues of high regulation losses and poor economic performance resulting from the frequent ramping of conventional thermal power units, this paper proposes a secondary frequency regulation strategy for a hybrid energy storage system (HESS) that incorporates the response characteristics of both thermal power and compressed air energy storage (CAES). First, the automatic generation control signal is decomposed into high-frequency and low-frequency components using the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) and multiscale permutation entropy (MPE) methods. Subsequently, leveraging the similarity between thermal power units and CAES in terms of dynamic response time and regulation inertia, a coordinated control method for a thermal-HESS is developed. This method enables the rational allocation of high- and low-frequency components among different units, thereby enhancing the system’s frequency regulation performance while reducing the output variability of the thermal unit. Finally, a dynamic simulation model is built in Matlab/Simulink to validate the regulation performance and economic benefits of the proposed strategy. Simulation results demonstrate that the proposed strategy can fully leverage the analogous response characteristics between thermal power and CAES during secondary frequency regulation, as well as the complementary advantages of the HESS in terms of fast response and large capacity. This coordinated approach effectively reduces and smoothens the output of the thermal power unit, thereby enhancing the overall frequency regulation performance and economic benefits of the thermal-HESS.
改进自适应完备集合经验模态分解(ICEEMDAN) / 模态动态分配 / 混合储能系统(HESS) / 二次调频
improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) / mode dynamic allocation / hybrid energy storage system (HESS) / secondary frequency modulation
| [1] |
王子晨, 刘瀚琛, 李建林, 等. 计及多层级储气布置的水下压缩空气储能配置策略[J]. 分布式能源, 2025, 10(6): 13-24.
|
| [2] |
武丹琛, 夏清. 新型电力系统产业链发展评估和驱动战略[J]. 全球能源互联网, 2025, 8(2): 155-164.
|
| [3] |
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.
|
| [4] |
韩泽雷, 鞠平, 秦川, 等. 面向新型电力系统的频率安全研究综述与展望[J]. 电力自动化设备, 2023, 43(9): 112-124.
|
| [5] |
郭筱, 陈来军, 郭俊波, 等. 基于机会约束的先进绝热压缩空气储能系统容量配置策略[J]. 分布式能源, 2025, 10(6): 25-33.
|
| [6] |
李建华, 崔森, 张小龙, 等. 计及压缩空气储能爬坡能力的区域综合能源系统多时间尺度调度[J/OL]. 分布式能源, 2025: 1-10(2025-12-03)[2026-01-23]. https://doi.org/10.16513/j.2096-2185.DE.25100364.
LI Jianhua, CUI Sen, ZHANG Xiaolong, et al. Multi-timescale scheduling of regional integrated energy systems incorporating compressed air energy storage ramp capabilities[J/OL]. Distributed Energy, 2025: 1-10(2025-12-03)[2026-01-23]. https://doi.org/10.16513/j.2096-2185.DE.25100364.
|
| [7] |
倪佳华, 杨林刚, 陈来军, 等. 计及储能响应特性的混合储能系统容量优化配置[J]. 分布式能源, 2025, 10(6): 1-12.
|
| [8] |
池志坤, 袁至, 李骥. 基于系统频率与SOC状态预测的储能一次调频控制策略[J]. 高电压技术, 2025, 51(11): 5423-5434.
|
| [9] |
李健, 张钧, 韩新阳, 等. 新型电力系统形态量化推演方法的总体框架与功能设计[J]. 中国电力,
|
| [10] |
韩旭, 刘仲稳, 王小东, 等. 飞轮储能辅助火电机组一次调频及其性能评价[J]. 太阳能学报, 2024, 45(7): 163-171.
|
| [11] |
李天宇, 陈来军, 崔森, 等. 基于改进动态模态分解的先进绝热压缩空气储能一次调频控制策略[J/OL]. 中国电机工程学报, 2025: 1-9(2025-07-29)[2025-09-01]. https://doi.org/10.13334/j.0258-8013.pcsee.250633.
LI Tianyu, CHEN Laijun, CUI Sen, et al. Primary frequency modulation control of advanced adiabatic compressed air energy storage based on modified dynamic mode decomposition[J/OL]. Proceedings of the CSEE, 2025: 1-9(2025-07-29)[2025-09-01]. https://doi.org/10.13334/j.0258-8013.pcsee.250633.
|
| [12] |
李亚楼, 赵飞, 樊雪君. 构网型储能及其应用综述[J]. 发电技术, 2025, 46(2): 386-398.
|
| [13] |
国家能源局西北监管局. 青海省“揭榜挂帅”新建储气罐的先进 压缩空气储能示范项目开工[EB/OL]. (2023-10-27)[2025-09-28]. https://xbj.nea.gov.cn/dtyw/hyxx/202312/t20231214_220736.html.
Northwest China Energy Regulatory Bureau of National Energy Administration of the People’s Republic of China. The advanced com-pressed air energy storage demonstration project of Qinghai Province’s ‘Listing for Champions’ newly built gas storage tank has started con-strution[EB/OL]. (2023-10-27)[2025-09-28]. https://xbj.nea.gov.cn/dtyw/hyxx/202312/t20231214_220736.html.
|
| [14] |
中国能源新闻网. 国内首个定西市通渭县压缩空气+锂电池组合式网侧共享储能电站创新示范项目开工[EB/OL]. (2023-08-03)[2025-09-28]. https://www.cpnn.com.cn/qiye/jishu2023/202308/t20230803_1623513.html.
China Power News Network. The country’s first innovative demonstration project of a compressed air and lithium battery combined grid-side shared energy storage power station in Tongwei County, Dingxi City has commenced construction[EB/OL]. (2023-08-03)[2025-09-28]. https://www.cpnn.com.cn/qiye/jishu2023/202308/t20230803_1623513.html.
|
| [15] |
北疆先锋网. 乌兰察布市化德县: 吞气吐能探索储能发展新模式[EB/OL]. (2024-10-01)[2025-09-28]. https://nmzzbdj.nmgcyy.com.cn/fccommon/Home/detail?site_id=75&detail_type=1&cid=15720727.
Northern Frontier Pioneer Website. Huade County, Ulanqab City: Explore a new model of energy storage development by swallowing and exhaling energy[EB/OL]. (2024-10-01)[2025-09-28]. https://nmzzbdj.nmgcyy.com.cn/fccommon/Home/detail?site_id=75&detail_type=1&cid=15720727.
|
| [16] |
严晓生, 刘仲稳, 赵建红, 等. 混合储能辅助火电机组一次调频及其容量配置[J]. 太阳能学报, 2024, 45(11): 647-654.
|
| [17] |
|
| [18] |
孙冰莹, 刘宗歧, 杨水丽, 等. 补偿度实时优化的储能-火电联合AGC策略[J]. 电网技术, 2018, 42(2): 426-433.
|
| [19] |
陈雪梅, 陆超, 刘杰, 等. 考虑调频性能考核的储能-机组联合调频控制策略[J]. 中国电机工程学报, 2021, 41(10): 3383-3391.
|
| [20] |
洪烽, 杜浩, 梁璐, 等. 基于模态匹配的飞轮/锂电混合储能辅助火电AGC控制策略及应用[J/OL]. 中国电机工程学报, 2025: 1-12(2025-07-25)[2025-09-01]. https://doi.org/10.13334/j.0258-8013.pcsee.242660.
HONG Feng, DU Hao, LIANG Lu, et al. Flywheel/lithium hybrid energy storage assisted thermal power AGC control strategy and application based on mode matching[J/OL]. Proceedings of the CSEE, 2025: 1-12(2025-07-25)[2025-09-01]. https://doi.org/10.13334/j.0258-8013.pcsee.242660.
|
| [21] |
汤杰, 李欣然, 黄际元, 等. 以净效益最大为目标的储能电池参与二次调频的容量配置方法[J]. 电工技术学报, 2019, 34(5): 963-972.
|
| [22] |
王玮, 赵俊杰, 高嵩, 等. 基于改进变分模态分解的飞轮储能辅助火电二次调频控制策略[J]. 动力工程学报, 2025, 45(7): 1052-1062.
|
| [23] |
严干贵, 李永越, 沙千理, 等. 基于改进自适应完备集合经验模态分解的混合储能辅助火电机组调频的协同控制策略[J]. 电网技术, 2026, 50(1): 210-220.
|
| [24] |
贾燕冰, 郑晋, 陈浩, 等. 基于集合经验模态分解的火-储联合调度调频储能容量优化配置[J]. 电网技术, 2018, 42(9): 2930-2937.
|
| [25] |
|
/
| 〈 |
|
〉 |