AA-CAES启动过程中膨胀机自动控制对运行稳定性的影响

doi:10.3969/j.issn.2097-0706.2025.12.009

综合智慧能源 ›› 2025, Vol. 47 ›› Issue (12): 81-88.doi: 10.3969/j.issn.2097-0706.2025.12.009

• 综合能源系统应用 • 上一篇

AA-CAES启动过程中膨胀机自动控制对运行稳定性的影响

文贤馗¹(), 李雅琴²(), 张世海¹(), 范强¹(), 叶华洋¹(), 谢毅颖²(), 李新卓²^,^*()

1.贵州电网有限责任公司电力科学研究院，贵阳 550002
2.长沙理工大学能源与动力工程学院，长沙 410114

收稿日期:2025-08-14 修回日期:2025-10-23 出版日期:2025-12-25
通讯作者: * 李新卓（1991），男，讲师，博士，从事燃烧学和基于热力学参数的自适应调控及反应动力学方面的研究，leesin1949@163.com。
作者简介:文贤馗（1972），男，正高级工程师，从事储能及新能源方面的研究，13985410224@139.com；
李雅琴（2001），女，硕士生，从事燃气轮机燃烧及污染物排放方面的研究，1465970495@qq.com；
张世海（1983），男，正高级工程师，硕士，从事储能及新能源方面的研究，494350038@qq.com；
范强（1986），男，高级工程师，硕士，从事新能源建模分析与发电技术方面的研究，498363102@qq.com；
叶华洋（1993），男，工程师，博士，从事电网防灾减灾及新型电力系统储能技术方面的研究， huayangye_1@163.com；
谢毅颖（2005），男，从事能源动力火电方面的研究，2378423468@qq.com。
基金资助:
贵州省科技计划项目(Qiankehe Pingtai Rencai-CXTD〔2022〕008)

Impact of expander automatic control on operational stability during AA-CAES startup process

WEN Xiankui¹(), LI Yaqin²(), ZHANG Shihai¹(), FAN Qiang¹(), YE Huayang¹(), XIE Yiying²(), LI Xinzhuo²^,^*()

1. Electric Power Research Institute， Guizhou Power Grid Company Limited， Guiyang 550002， China
2. College of Energy and Power Engineering， Changsha University of Science and Technology， Changsha 410114， China

Received:2025-08-14 Revised:2025-10-23 Published:2025-12-25
Supported by:
Science and Technology Foundation of Guizhou Province(Qiankehe Pingtai Rencai-CXTD〔2022〕008)

摘要/Abstract

摘要：

为研究先进绝热压缩空气储能（AA-CAES）系统启动过程中膨胀机运行调控策略、复杂性和稳定性，基于所建立的膨胀机释能模型，对膨胀机入口处的温度与压力参数实施比例-积分-微分（PID）控制。系统分析了压力增益系数K和温度比例系数K_p对膨胀机启动特性的影响，包括输出功率、出口温度与出口压力的动态响应以及启动过程的稳定性，从而提升系统应对关键设备突发故障的抗干扰能力。研究结果显示：K=0.5时，相较于K=1.5，其输出功率峰值高出4.2%，压力下降更为平缓，曲线变化斜率较小，表现出更好的响应平滑性；K_p=0.1时膨胀比峰值较K_p=0.5高约0.54%，而不同K_p下的等熵效率峰值一致，均达到0.88；K=1.0时，出口温度峰值最小且稳定时间最短；K_p=0.3时，等熵效率能够迅速趋于稳定。结果表明，通过合理调控PID参数可显著改善膨胀机启动性能，可为解决因关键设备故障导致的机组稳定性下降问题提供控制策略。

关键词: 先进绝热压缩空气储能系统, 膨胀机释能, PID控制, 启动稳定性, 温度比例系数, 压力增益系数

Abstract:

To investigate the operational regulation strategy， complexity， and stability of the expander during the startup process of an advanced adiabatic compressed air energy storage （AA-CAES） system， proportional-integral-derivative （PID） control was implemented on the temperature and pressure parameters at the expander inlet based on the established expander energy release model. The effects of the pressure gain coefficient K and temperature proportional coefficient K_p on the startup characteristics of the expander were systematically analyzed， including the dynamic responses of output power， outlet temperature， and outlet pressure， as well as the stability during the startup process， thereby enhancing the system's anti-interference capability to address sudden failures of key equipment. The results showed that when K=0.5， compared with K=1.5， the output power peak was 4.2% higher， the pressure decline was more gradual， and the curve slope was smaller， exhibiting better response smoothness. When K_p=0.1， the peak expansion ratio was about 0.54% higher than that when K_p=0.5， while the peak isentropic efficiency at different K_p values remained consistent， both reaching 0.88. When K=1.0， the peak outlet temperature was the smallest and the stabilization time was the shortest. When K_p=0.3， the isentropic efficiency could rapidly stabilize. The findings indicate that reasonable regulation of PID parameters can significantly improve the expander startup performance， thereby providing control strategies for solving the problem of unit stability degradation caused by key equipment failures.

Key words: advanced adiabatic compressed air energy storage system, expander energy release, PID control, startup stability, temperature proportional coefficient, pressure gain coefficient

中图分类号:

TK02：TH411.2

文贤馗, 李雅琴, 张世海, 范强, 叶华洋, 谢毅颖, 李新卓. AA-CAES启动过程中膨胀机自动控制对运行稳定性的影响[J]. 综合智慧能源, 2025, 47(12): 81-88.

WEN Xiankui, LI Yaqin, ZHANG Shihai, FAN Qiang, YE Huayang, XIE Yiying, LI Xinzhuo. Impact of expander automatic control on operational stability during AA-CAES startup process[J]. Integrated Intelligent Energy, 2025, 47(12): 81-88.

图/表 6

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参考文献 27

[1]	谢善益, 仲卫, 杨强, 等. 台风条件下含混合电氢储能的海上风电场并网运行智能控制方法[J]. 电机与控制应用, 2024, 51(3): 49-59.
	XIE Shanyi, ZHONG Wei, YANG Qiang, et al. Intelligent control method for grid-connected operation of offshore wind farm with hybrid electric hydrogen storage under typhoon conditions[J]. Electric Machines & Control Application, 2024, 51(3): 49-59.
[2]	吴志程, 朱俊杰, 许金, 等. 电磁发射用“锂电池-超级电容”混合储能技术研究综述[J]. 电机与控制应用, 2021, 48(3): 1-6.
	WU Zhicheng, ZHU Junjie, XU Jin, et al. Review of "lithium battery-supercapacitor" hybrid energy storage technology for electromagnetic launch[J]. Electric Machines & Control Application, 2021, 48(3): 1-6.
[3]	张保明, 陈洁, 付菊霞, 等. 基于小波包混合储能系统的风功率波动控制策略[J]. 电机与控制应用, 2020, 47(3): 75-80, 94.
	ZHANG Baoming, CHEN Jie, FU Juxia, et al. Control strategy of wind power fluctuation based on wavelet packet hybrid energy storage system[J]. Electric Machines & Control Application, 2020, 47(3): 75-80, 94.
[4]	万明忠, 王元媛, 李峻, 等. 压缩空气储能技术研究进展及未来展望[J]. 综合智慧能源, 2023, 45(9): 26-31. doi: 10.3969/j.issn.2097-0706.2023.09.004
	WAN Mingzhong, WANG Yuanyuan, LI Jun, et al. Research progress and prospect of compressed air energy storage technology[J]. Integrated Intelligent Energy, 2023, 45(9): 26-31. doi: 10.3969/j.issn.2097-0706.2023.09.004
[5]	LI Y, LI Y, LIU Y N, et al. Compressed air energy storage in aquifers: Basic principles, considerable factors, and improvement approaches[J]. Reviews in Chemical Engineering, 2021, 37(5): 561-584. doi: 10.1515/revce-2019-0015
[6]	FAN J Y, LIU W, JIANG D Y, et al. Thermodynamic and applicability analysis of a hybrid CAES system using abandoned coal mine in China[J]. Energy, 2018, 157:31-44. doi: 10.1016/j.energy.2018.05.107
[7]	薛皓白, 张新敬, 陈海生, 等. 微型压缩空气储能系统释能过程分析[J]. 工程热物理学报, 2014, 35(10): 1923-1929.
	XUE Haobai, ZHANG Xinjing, CHEN Haisheng, et al. Analysis of energy release process of micro-compressed air energy storage systems[J]. Journal of Engineering Thermophysics, 2014, 35(10): 1923-1929.
[8]	陈辉, 李文, 盛勇, 等. CAES释能过程多工况动态仿真及效率分析[J]. 动力工程学报, 2023, 43(7): 869-876. doi: 10.19805/j.cnki.jcspe.2023.07.008
	CHEN Hui, LI Wen, SHENG Yong, et al. Multi-condition dynamic simulation and efficiency analysis of CAES energy release process[J]. Journal of Chinese Society of Power Engineering, 2023, 43(7): 869-876. doi: 10.19805/j.cnki.jcspe.2023.07.008
[9]	GUO H, XU Y J, ZHANG Y, et al. Off-design performance and operation strategy of expansion process in compressed air energy systems[J]. International Journal of Energy Research, 2019, 43(1): 475-490. doi: 10.1002/er.v43.1
[10]	李扬, 张新敬, 宋健斐, 等. 压缩空气储能系统释能过程动态调控[J]. 储能科学与技术, 2021, 10(5): 1514-1523. doi: 10.19799/j.cnki.2095-4239.2021.0337
	LI Yang, ZHANG Xinjing, SONG Jianfei, et al. Dynamic regulation and control of the discharge process in compressed air energy storage system[J]. Energy Storage Science and Technology, 2021, 10(5): 1514-1523. doi: 10.19799/j.cnki.2095-4239.2021.0337
[11]	冯庭勇, 钟晶亮, 文贤馗, 等. 先进绝热压缩空气储能发电系统参与调频辅助服务控制优化方法[J]. 热力发电, 2022, 51(5): 136-141.
	FENG Tingyong, ZHONG Jingliang, WEN Xiankui, et al. Optimization method of AA-CAES power generation system participating in frequency modulation auxiliary service control[J]. Thermal Power Generation, 2022, 51(5): 136-141.
[12]	张彪, 李阳海, 曹泉. 压缩空气储能系统建模、仿真和控制研究综述[J]. 湖北电力, 2022, 46(3): 1-6.
	ZHANG Biao, LI Yanghai, CAO Quan. Review on modeling, simulation and control of compressed air energy storage system[J]. Hubei Electric Power, 2022, 46(3): 1-6.
[13]	周珊, 张伟杰, 许丹宁, 等. 基于模糊二阶高通滤波的光伏混合储能直流微网的功率分配控制[J]. 电机与控制应用, 2025, 52(1): 52-63.
	ZHOU Shan, ZHANG Weijie, XU Danning, et al. Power allocation control of photovoltaic hybrid energy storage DC microgrid based on fuzzy second-order high-pass filtering[J]. Electric Machines & Control Application, 2025, 52(1): 52-63.
[14]	李震, 王斌, 牟雪鹏, 等. 基于瞬时功率镜像补偿的斜坡式重力储能系统功率平滑控制策略[J]. 电机与控制应用, 2024, 51(5): 12-20.
	LI Zhen, WANG Bin, MOU Xuepeng, et al. Power smoothing control strategy for slope gravity energy storage system based on instantaneous power mirror compensation[J]. Electric Machines & Control Application, 2024, 51(5): 12-20.
[15]	ZHAO P, GAO L, WANG J F, et al. Energy efficiency analysis and off-design analysis of two different discharge modes for compressed air energy storage system using axial turbines[J]. Renewable Energy, 2016, 85: 1164-1177. doi: 10.1016/j.renene.2015.07.095
[16]	GUO H, XU Y J, ZHU Y L, et al. Thermal-mechanical coefficient analysis of adiabatic compressor and expander in compressed air energy storage systems[J]. Energy, 2021, 244:122993. doi: 10.1016/j.energy.2021.122993
[17]	GUO H, XU Y J, ZHANG Y, et al. Off-design performance and an optimal operation strategy for the multistage compression process in adiabatic compressed air energy storage systems[J]. Applied Thermal Engineering, 2019, 149: 262-274. doi: 10.1016/j.applthermaleng.2018.12.035
[18]	HAN Z H, GUO S C. Investigation of operation strategy of combined cooling, heating and power(CCHP) system based on advanced adiabatic compressed air energy storage[J]. Energy, 2018, 160: 290-308. doi: 10.1016/j.energy.2018.07.033
[19]	MOZAYENI H, WANG X, NEGNEVITSKY M. Dynamic analysis of a low-temperature adiabatic compressed air energy storage system[J]. Journal of Cleaner Production, 2020, 276: 124323. doi: 10.1016/j.jclepro.2020.124323
[20]	王宇轩, 郝宁, 赵峰, 等. 面向微网的源网荷储一体化功率分配策略研究[J]. 综合智慧能源, 2025, 47(8):58-67. doi: 10.3969/j.issn.2097-0706.2025.08.007
	WANG Yuxuan, HAO Ning, ZHAO Feng, et al. Research on integrated power allocation strategy of source-network-load-storage for microgrids[J]. Integrated Intelligent Energy, 2025, 47(8): 58-67. doi: 10.3969/j.issn.2097-0706.2025.08.007
[21]	袁佳歆, 彭斌, 刘诺醇, 等. 一种新型高效电-热柔性可控风力发电制热设备[J]. 武汉大学学报(工学版), 2025, 58(8): 1331-1339.
	YUAN Jiaxin, PENG Bin, LIU Nuochun, et al. A novel high-efficiency electric-to-heat flexible and controllable wind power generation and heating equipment[J]. Engineering Journal of Wuhan University, 2025, 58(8): 1331-1339.
[22]	朱志超, 崔森, 陈来军, 等. 基于改进模糊自适应的先进绝热压缩空气储能一次调频控制策略[J/OL]. 电网技术, 2024: 1-11(2024-10-29)[2025-08-01]. https://link.cnki.net/doi/10.13335/j.1000-3673.pst.2024.1403.
	ZHU Zhichao, CUI Sen, CHEN Laijun, et al. Primary frequency modulation control strategy of advanced adiabatic compressed air energy storage based on improved fuzzy adaptive control[J/OL]. Power System Technology, 2024:1-11(2024-10-29)[2025-08-01]. https://link.cnki.net/doi/10.13335/j.1000-3673.pst.2024.1403.
[23]	李瑞. 源-网-荷先进绝热压缩空气储能灵活性建模及运行研究[D]. 北京: 清华大学, 2019.
	LI Rui. Research on flexibility modeling and operation of source-grid-load advanced adiabatic compressed air energy storage[D]. Beijing: Tsinghua University, 2019.
[24]	胡雪如, 邢令利, 李原圆, 等. 基于Aspen Plus的等压压缩空气储能系统性能仿真及分析[J]. 综合智慧能源, 2024, 46(12): 72-80. doi: 10.3969/j.issn.2097-0706.2024.12.009
	HU Xueru, XING Lingli, LI Yuanyuan, et al. Performance simulation and analysis of an isobaric compressed air energy storage system based on Aspen Plus[J]. Integrated Intelligent Energy, 2024, 46(12): 72-80. doi: 10.3969/j.issn.2097-0706.2024.12.009
[25]	杨大慧, 文贤馗, 钟晶亮, 等. AA-CAES系统释能过程安全减出力控制仿真分析[J]. 太阳能学报, 2023, 44(4): 283-289. doi: 10.19912/j.0254-0096.tynxb.2021-1529
	YANG Dahui, WEN Xiankui, ZHONG Jingliang, et al. Simulation analysis of runback conditions on energy release process of AA-CAES system[J]. Acta Energiae Solaris Sinica, 2023, 44(4): 283-289. doi: 10.19912/j.0254-0096.tynxb.2021-1529
[26]	LI R X, WANG H R, ZHANG H R. Dynamic simulation of a cooling, heating and power system based on adiabatic compressed air energy storage[J]. Renewable Energy, 2019, 138: 326-339. doi: 10.1016/j.renene.2019.01.086
[27]	CALERO I, CANIZARES C A, BHATTACHARYA K. Compressed air energy storage system modeling for power system studies[J]. IEEE Transactions on Power Systems, 2019, 34(5):3359-3371. doi: 10.1109/TPWRS.59

AA-CAES启动过程中膨胀机自动控制对运行稳定性的影响

Impact of expander automatic control on operational stability during AA-CAES startup process

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[2]	景超;刘延泉;王磊;崔永乐. 基于ＯＰＣ的智能ＰＩＤ控制应用研究[J]. 华电技术, 2009, 31(5): 28-30.