Low-Frequency Oscillation Suppression Strategy for Power System Based on Supplementary Damping Control of Compressed Air Energy Storage

doi:10.11930/j.issn.1004-9649.202302081

Abstract

Abstract:

With significant increase of penetration of electronic equipment in the power system, the low-frequency oscillation problem of the power system under disturbance are becoming increasingly prominent. Therefore, combined with the good active power regulating ability of compressed air energy storage, a low-frequency oscillation suppression strategy is proposed based on the supplementary damping control of compressed air energy storage. Firstly, a mathematical model of compressed air energy storage is established, and the influence of the mass flow on its output power is analyzed. Secondly, the feasibility of compressed air energy storage to suppress low-frequency oscillation is analyzed, and a supplementary damping controller based on regulating valve is proposed to adjust the mass flow. And then, the output power of the compressed air energy storage is controlled to suppress the low-frequency oscillation of the power grid. Finally, a power system simulation model of 4-generator and two-area with compressed air energy storage is established to verify the effectiveness and feasibility of the proposed method. The simulation results show that the proposed method can provide positive damping for the power grid, and can rapidly suppress the low-frequency oscillation of the power grid and effectively improve the stability of the power system.

Key words: compressed air energy storage, low-frequency oscillation, supplementary damping, regulating valve, mass flow

Kangkang WANG, Xinwei SUN, Bo ZHOU, Tianwen ZHENG, Wei WEI, Libo JIANG. Low-Frequency Oscillation Suppression Strategy for Power System Based on Supplementary Damping Control of Compressed Air Energy Storage[J]. Electric Power, 2023, 56(10): 115-123.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202302081

https://www.electricpower.com.cn/EN/Y2023/V56/I10/115

Figures/Tables 16

References 25

1	MALEKI H, VARMA R K. Comparative study for improving damping oscillation of SMIB system with STATCOM and BESS using remote and local signal[C]//2015 IEEE 28 th Canadian Conference on Electrical and Computer Engineering (CCECE). Halifax, NS, Canada. IEEE, 2015: 265–270.
2	罗澍忻, 韩应生, 余浩, 等. 构网型控制在提升高比例新能源并网系统振荡稳定性中的应用[J]. 南方电网技术, 2023, 17 (5): 39- 48.
	LUO Shuxin, HAN Yingsheng, YU Hao, et al. Application of network control in improving oscillation stability of high proportion new energy grid-connected system[J]. Southern Power System Technology, 2023, 17 (5): 39- 48.
3	ZHANG X R, LU C, LIU S C, et al. A review on wide-area damping control to restrain inter-area low frequency oscillation for large-scale power systems with increasing renewable generation[J]. Renewable and Sustainable Energy Reviews, 2016, 57, 45- 58. DOI
4	方日升, 林耀东, 徐振华, 等. 基于录波曲线的电力系统低频振荡事故原因分析与抑制策略[J]. 中国电力, 2021, 54 (11): 104- 114.
	FANG Risheng, LIN Yaodong, XU Zhenhua, et al. Cause analysis and suppression strategy of power system low-frequency oscillation based on recording curves[J]. Electric Power, 2021, 54 (11): 104- 114.
5	杨超然, 宫泽旭, 洪敏, 等. 外环动态影响下变流器广义阻抗判据的适用性分析[J]. 中国电机工程学报, 2021, 41 (9): 3012- 3024. DOI
	YANG Chaoran, GONG Zexu, HONG Min, et al. Applicability analysis of the generalized-impedance stability criterion for converters considering the outer-loop dynamics[J]. Proceedings of the CSEE, 2021, 41 (9): 3012- 3024. DOI
6	LIU J, MIURA Y, BEVRANI H, et al. Enhanced virtual synchronous generator control for parallel inverters in microgrids[J]. IEEE Transactions on Smart Grid, 2017, 8 (5): 2268- 2277. DOI
7	郭贤珊, 李云丰, 谢欣涛, 等. 直驱风电场经柔直并网诱发的次同步振荡特性[J]. 中国电机工程学报, 2020, 40 (4): 1149- 1160, 1407. DOI
	GUO Xianshan, LI Yunfeng, XIE Xintao, et al. Sub-synchronous oscillation characteristics caused by PMSG-based wind plant farm integrated via flexible HVDC system[J]. Proceedings of the CSEE, 2020, 40 (4): 1149- 1160, 1407. DOI
8	熊尚峰. PSS抑制低频振荡的理论与应用研究[D]. 长沙: 湖南大学, 2016.
	XIONG Shangfeng. Theory and application of PSS to suppress low frequency oscillation[D]. Changsha: Hunan University, 2016.
9	张伟, 余莉, 刘玉娟, 等. 基于MATLAB的同步发电机PSS与励磁系统仿真[J]. 计算机与数字工程, 2011, 39 (8): 62- 65. DOI
	ZHANG Wei, YU Li, LIU Yujuan, et al. Synchronous generator excitation system with PSS simulation based on MATLAB[J]. Computer & Digital Engineering, 2011, 39 (8): 62- 65. DOI
10	陈来军, 梅生伟, 王俊杰, 等. 面向智能电网的大规模压缩空气储能技术[J]. 电工电能新技术, 2014, 33 (6): 1- 6. DOI
	CHEN Laijun, MEI Shengwei, WANG Junjie, et al. Smart grid oriented large-scale compressed air energy storage technology[J]. Advanced Technology of Electrical Engineering and Energy, 2014, 33 (6): 1- 6. DOI
11	梅生伟, 李瑞, 陈来军, 等. 先进绝热压缩空气储能技术研究进展及展望[J]. 中国电机工程学报, 2018, 38 (10): 2893- 2907, 3140. DOI
	MEI Shengwei, LI Rui, CHEN Laijun, et al. An overview and outlook on advanced adiabatic compressed air energy storage technique[J]. Proceedings of the CSEE, 2018, 38 (10): 2893- 2907, 3140. DOI
12	李盼, 杨晨, 陈雯, 等. 压缩空气储能系统动态特性及其调节系统[J]. 中国电机工程学报, 2020, 40 (7): 2295- 2305,2408. DOI
	LI Pan, YANG Chen, CHEN Wen, et al. Dynamic characteristics of compressed air energy storage system and the regulation system[J]. Proceedings of the CSEE, 2020, 40 (7): 2295- 2305,2408. DOI
13	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
	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
14	王丹, 张甜甜, 吴嘉禾, 等. 大规模压缩空气储能系统发电方式与运行控制分析与构想[J]. 电力系统自动化, 2019, 43 (24): 13- 22. DOI
	WANG Dan, ZHANG Tiantian, WU Jiahe, et al. Analysis and conception of power generation mode and operation control of large-scale compressed air energy storage system[J]. Automation of Electric Power Systems, 2019, 43 (24): 13- 22. DOI
15	李广阔, 陈来军, 郑天文, 等. 压缩空气储能系统调相运行模式初探[J]. 全球能源互联网, 2018, 1 (3): 348- 354. DOI
	LI Guangkuo, CHEN Laijun, ZHENG Tianwen, et al. Preliminary investigation on operation mode of compressed air energy storage system as synchronous condenser[J]. Journal of Global Energy Interconnection, 2018, 1 (3): 348- 354. DOI
16	李姚旺, 苗世洪, 尹斌鑫, 等. 考虑先进绝热压缩空气储能电站备用特性的电力系统优化调度策略[J]. 中国电机工程学报, 2018, 38 (18): 5392- 5404. DOI
	LI Yaowang, MIAO Shihong, YIN Binxin, et al. Power system optimal scheduling strategy considering reserve characteristics of advanced adiabatic compressed air energy storage plant[J]. Proceedings of the CSEE, 2018, 38 (18): 5392- 5404. DOI
17	李瑞, 陈来军, 梅生伟, 等. 先进绝热压缩空气储能变工况运行特性建模及风储协同分析[J]. 电力系统自动化, 2019, 43 (11): 25- 33.
	LI Rui, CHEN Laijun, MEI Shengwei, et al. Modelling the off-design operation characteristics of advanced adiabatic compressed air energy storage and cooperative analysis of hybrid wind power and energy storage system[J]. Automation of Electric Power Systems, 2019, 43 (11): 25- 33.
18	方乐, 刘成奎, 陈晓弢, 等. 含光热复合压缩空气储能的分布式综合能源系统容量规划方法[J]. 电工技术学报, 2022, 37 (23): 5933- 5943.
	FANG Le, LIU Chengkui, CHEN Xiaotao, et al. Capacity planning method of distributed integrated energy system with solar thermal composite compressed air energy storage[J]. Transactions of China Electrotechnical Society, 2022, 37 (23): 5933- 5943.
19	BAI Jiayu, LIU Fang, XUE Xiaodai, et al. Modelling and control of advanced adiabatic compressed air energy storage under power tracking mode considering off-design generating conditions[J]. Energy, 2021, 218, 119525. DOI
20	ZHAO P, WANG P Z, XU W P, et al. The survey of the combined heat and compressed air energy storage (CH-CAES) system with dual power levels turbomachinery configuration for wind power peak shaving based spectral analysis[J]. Energy, 2021, 215, 119167. DOI
21	LI Y, MIAO S, ZHANG S, et al. A reserve capacity model of AA-CAES for power system optimal joint energy and reserve scheduling[J]. International Journal of Electrical Power & Energy Systems, 2019, 104, 279- 290.
22	文贤馗, 李翔, 邓彤天, 等. 先进压缩空气储能系统的余热回收和利用[J]. 中国电力, 2022, 55 (2): 28- 34.
	WEN Xiankui, LI Xiang, DENG Tongtian, et al. Waste heat recovery and utilization of advanced compressed air energy storage system[J]. Electric Power, 2022, 55 (2): 28- 34.
23	胡福年, 徐伟成, 陈军. 含可再生能源与CAES电站的电热综合能源系统调度策略[J]. 中国电力, 2022, 55 (11): 129- 141.
	HU Funian, XU Weicheng, CHEN Jun. Scheduling strategy of electrothermal integrated energy system with renewable energy and CAES power station[J]. Electric Power, 2022, 55 (11): 129- 141.
24	KUNDUR P, BALU N J, LAUBY M G. Power system stability and control[M]. New York: McGraw-Hill, 1994.
25	赵辉. 电力系统低频振荡阻尼机理及控制策略研究[D]. 天津: 天津大学, 2006: 35–44.
	ZHAO Hui. Resonance mechanism and control strategies of power system low frequency oscillation[D]. Tianjin: Tianjin University, 2006: 35–44.

名称		数值
环境温度 T_en/K		293
储气库温度 T_ac/K		300
储气库最大压力 p_ac/MPa		10
储气库容量 V_ac/m³		26608.47
空气定压比热容比 c_p/(J·(kg·K)^–1)		1000
空气定容比热容比 c_v/(J·(kg·K)^–1)		714
理想气体常数 R_g		287.15
储气库内面积 A_ac/m²		6110.5
充满时储气库空气质量 m_ac/kg		3088800
额定透平功率 P_e/MW		100
额定透平功率的质量流量 Q_e/(kg·s^–1)		286

名称		数值
环境温度 T_en/K		293
储气库温度 T_ac/K		300
储气库最大压力 p_ac/MPa		10
储气库容量 V_ac/m³		26608.47
空气定压比热容比 c_p/(J·(kg·K)^–1)		1000
空气定容比热容比 c_v/(J·(kg·K)^–1)		714
理想气体常数 R_g		287.15
储气库内面积 A_ac/m²		6110.5
充满时储气库空气质量 m_ac/kg		3088800
额定透平功率 P_e/MW		100
额定透平功率的质量流量 Q_e/(kg·s^–1)		286

名称		数值
额定容量 P_n/(MV·A)		100
额定频率 f_n/Hz		50
额定电压 U_n/kV		10
时间常数 H/s		3
阻尼系数 K_D		28
极对数 p		2
内部阻抗 R、X(p.u.)		0.06、0.051

名称		数值
额定容量 P_n/(MV·A)		100
额定频率 f_n/Hz		50
额定电压 U_n/kV		10
时间常数 H/s		3
阻尼系数 K_D		28
极对数 p		2
内部阻抗 R、X(p.u.)		0.06、0.051

名称		数值
增益系数 K_QS		20000
时间常数 T_WQS/s		0.10
时间常数 T_1QS/s		0.63
时间常数 T_2QS/s		0.08