计及切换补偿的新能源电力系统暂态电压稳定评估方法

doi:10.19595/j.cnki.1000-6753.tces.241606

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Abstract

The large-scale integration of renewable energy and power electronic devices into the power system has led to transient voltage evolution characteristics that significantly differ from conventional AC power systems. As a result, existing transient voltage stability indices and criteria are prone to misjudging voltage stability states under the influence of noise interference and control switching. To address these problems, this paper proposed a transient voltage stability assessment approach for renewable energy power system based on switching compensation Lyapunov exponent (SCMLE). The approach improves the accuracy of transient voltage stability assessment by the impact of control switching. It provides dispatchers with reliable transient voltage stability information for formulating voltage stability control strategies, which enhances the reliability and stability of renewable energy power system.
Firstly, based on the transient voltage stability discriminant mechanism of the maximum Lyapunov exponent (MLE), the voltage stability issue is transformed into an eigenvalue variation problem of the integral final value matrix and ensures a rigorous theoretical foundation of assessment results. Subsequently, the variational equation of the PCC voltage trajectory was formulated for both the normal operation mode and low voltage ride-through (LVRT) operation mode. The influence of system control characteristics and operating modes on transient voltage response features was fully considered. The SCMLE was then computed using the eigenvalues of the final value matrix derived from the variational equations. This approach overcame the limitation of the time-delayed embedding maximum Lyapunov exponent (TMLE), which required a predefined observation window. Thirdly, to reduce the impact of LVRT control switching on transient voltage stability assessment, a switching compensation matrix was constructed to represent the non-smooth distortion degree of the system. This matrix was used to correct the calculation error of the integral final value matrix at non-smooth points, improving both the speed and accuracy of the transient voltage stability assessment. Finally, the validity and effectiveness of the proposed approach were verified through simulation results from a single-machine infinite bus system with a photovoltaic power plant and a real power system. The simulation results show that the SCMLE was less sensitive to the observation time window and exhibited strong robustness under noise interference.
The following conclusions can be drawn: (1) The proposed approach, based on the stability discrimination mechanism of MLE, transforms the voltage stability problem into an eigenvalue variation problem of the integral terminal matrix, ensuring a rigorous theoretical foundation of assessment results. (2) The SCMLE reduces transient voltage stability assessment time by 24.18% and 20.68% compared to the maximum Lyapunov exponent based on QR decomposition (QRMLE) and the phase correction maximum Lyapunov exponent (PCMLE), respectively. Additionally, it effectively avoids the symbolic feature oscillations near the zero-axis and maintains robust assessment performance in real power grids. (3) The SCMLE analyzed the impact of control parameters on the transient voltage stability of the system and provides the stability region for control parameters. The proportional gain coefficient required to maintain transient voltage stability ranged from 0.1 to 0.4, while the integral gain coefficient ranged from 10 to 20. It offers valuable insights for control parameters design and the formulation of transient voltage stability control strategies.

Key words： Renewable energy power system transient voltage stability assessment control switching Lyapunov exponent

Received: 10 September 2024

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TM712

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	Wang Changjiang
	Yin Haofan
	Jiang Tao
	Liu Xianchao
	Liu Hui

Cite this article:

Wang Changjiang,Yin Haofan,Jiang Tao等. Transient Voltage Stability Assessment Approach for Renewable Energy Power System Considering Switching Compensation[J]. Transactions of China Electrotechnical Society, 0, (): 20241606-20241606.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.241606 OR https://dgjsxb.ces-transaction.com/EN/Y0/V/I/20241606

[1] 赵郅毅, 许寅, 吴翔宇, 等. 含异构微源的混合型孤岛微电网暂态有功响应分析与控制策略[J]. 电工技术学报, 2024, 39(19): 6072-6084.
Zhao Zhiyi, Xu Yin, Wu Xiangyu, et al.Transient active power response analysis and control strategy of hybrid island microgrid containing heterogeneous microsources[J]. Transactions of China Electrotechnical Society, 2024, 39(19): 6072-6084.
[2] 陈国平, 董昱, 梁志峰. 能源转型中的中国特色新能源高质量发展分析与思考[J]. 中国电机工程学报, 2020, 40(17): 5493-5506.
Chen Guoping, Dong Yu, Liang Zhifeng.Analysis and reflection on high-quality development of new energy with Chinese characteristics in energy transition[J]. Proceedings of the CSEE, 2020, 40(17): 5493-5506.
[3] 杨铭, 曹武, 赵剑锋, 等. 受控电压/电流源型变流器混合多机暂态电压支撑策略[J]. 电工技术学报, 2023, 38(19): 5207-5223, 5240.
Yang Ming, Cao Wu, Zhao Jianfeng, et al.Transient voltage support strategy for hybrid multi-converter of controlled voltage/current source converter[J]. Transactions of China Electrotechnical Society, 2023, 38(19): 5207-5223, 5240.
[4] 徐式蕴, 王一鸣, 孙华东, 等. 国外新能源脱网事故对中国电网安全稳定运行的启示[J]. 电力系统自动化, 2024, 48(13): 1-8.
Xu Shiyun, Wang Yiming, Sun Huadong, et al.Insights from renewable energy outage accidents abroad for secure and stable operation of power grids in China[J]. Automation of Electric Power Systems, 2024, 48(13): 1-8.
[5] 杨金洲, 李业成, 熊鸿韬, 等. 新能源接入的受端电网暂态电压失稳高风险故障快速筛选[J]. 电工技术学报, 2024, 39(21): 6746-6758.
Yang Jinzhou, Li Yecheng, Xiong Hongtao, et al.A fast screening method for the high-risk faults with transient voltage instability in receiving-end power grids interconnected with new energy[J]. Transactions of China Electrotechnical Society, 2024, 39(21): 6746-6758.
[6] 刘昊, 方天治, 张惠丽, 等. 弱电网下应对复杂稳定性问题的并网逆变器改进电压前馈通路研究[J]. 电工技术学报, 2024, 39(16): 4955-4967.
Liu Hao, Fang Tianzhi, Zhang Huili, et al.Research on an improved voltage feedforward path of grid-connected inverter coping with complex stability issues in weak grid[J]. Transactions of China Electrotechnical Society, 2024, 39(16): 4955-4967.
[7] 仲悟之, 汤涌. 电力系统微分代数方程模型的暂态电压稳定性分析[J]. 中国电机工程学报, 2010, 30(25): 10-16.
Zhong Wuzhi, Tang Yong.Transient voltage stability analysis of differential-algebra equation in power system[J]. Proceedings of the CSEE, 2010, 30(25): 10-16.
[8] 杜兆斌, 黄昌树, 陈智颖, 等. 基于主导不稳定平衡点法的暂态电压稳定性研究[J]. 电测与仪表, 2022, 59(12): 64-70.
Du Zhaobin, Huang Changshu, Chen Zhiying, et al.Research on transient voltage stability analysis based on controlling UEP method[J]. Electrical Measurement & Instrumentation, 2022, 59(12): 64-70.
[9] Zhang Xu, Hao Zhiguo, Li Jiapeng, et al.Transient DC-link voltage oscillation stability assessment of VSC-HVDC systems using Lyapunov direct method[J]. International Journal of Electrical Power & Energy Systems, 2024, 157: 109873.
[10] 王波, 朱晓杰, 李振垚, 等. 基于单调系统理论的光伏并网系统暂态电压稳定性分析[J]. 电力系统自动化, 2023, 47(3): 19-29.
Wang Bo, Zhu Xiaojie, Li Zhenyao, et al.Analysis on transient voltage stability of power system with photovoltaic based on monotone system theory[J]. Automation of Electric Power Systems, 2023, 47(3): 19-29.
[11] 陈民权, 张谦, 甘德强, 等. 基于混合单调系统理论的电压动态响应分析[J]. 电力系统自动化, 2021, 45(18): 85-93.
Chen Minquan, Zhang Qian, Gan Deqiang, et al.Analysis of dynamic voltage response based on mixed monotone system theory[J]. Automation of Electric Power Systems, 2021, 45(18): 85-93.
[12] Dasgupta S, Paramasivam M, Vaidya U, et al.Real-time monitoring of short-term voltage stability using PMU data[J]. IEEE Transactions on Power Systems, 2013, 28(4): 3702-3711.
[13] Yoon K, Choi D, Lee S H, et al.Optimal placement algorithm of multiple DGs based on model-free Lyapunov exponent estimation[J]. IEEE Access, 2020, 8: 135416-135425.
[14] Eckmann J P, Ruelle D.Ergodic theory of chaos and strange attractors[J]. Reviews of Modern Physics, 1985, 57(3): 617-656.
[15] Rosenstein M T, Collins J J, De Luca C J. A practical method for calculating largest Lyapunov exponents from small data sets[J]. Physica D: Nonlinear Phenomena, 1993, 65(1/2): 117-134.
[16] Aniszewska D, Rybaczuk M.Lyapunov type stability and Lyapunov exponent forexemplary multiplicative dynamical systems[J]. Nonlinear Dynamics, 2008, 54(4): 345-354.
[17] Ramasubramanian K, Sriram M S.A comparative study of computation of Lyapunov spectra with different algorithms[J]. Physica D: Nonlinear Phenomena, 2000, 139(1/2): 72-86.
[18] 王长江, 姜涛, 陈厚合, 等. 基于相位校正李雅普诺夫指数的电力系统暂态电压稳定评估[J]. 电工技术学报, 2021, 36(15): 3221-3236.
Wang Changjiang, Jiang Tao, Chen Houhe, et al.Transient voltage stability assessment of power systems based on phase correction maximum Lyapunov exponent[J]. Transactions of China Electrotechnical Society, 2021, 36(15): 3221-3236.
[19] 刘铖, 周元通, 曹志冲, 等. 基于网络无功能量最大李雅普诺夫指数的暂态电压稳定评估[J/OL]. 高电压技术, 1-16[2025-04-02] . https://doi.org/10.13336/j.1003-6520.hve.20241322.
Liu Cheng, Zhou Yuantong, Cao Zhichong, et al. Transient voltage stability assessment based on maximum Lyapunov exponent of network energy reactive term[J]. High Voltage Engineering, 1-16 [2025-04-02] . https://doi.org/10.13336/j.1003-6520.hve.20241322.
[20] Xie Fan, Yang Ru, Zhang Bo.Bifurcation and border collision analysis of voltage-mode-controlled flyback converter based on total ampere-turns[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2011, 58(9): 2269-2280.
[21] Jia Zirui, Liu Ling, Liu Chongxin.Dynamic analysis and fractional-order terminal sliding mode control of a fractional-order buck converter operating in discontinuous conduction mode[J]. International Journal of Bifurcation and Chaos, 2022, 32(4): 2250045.
[22] Yu Yongjin, Zhang Chao.Bifurcation analysis of cascaded H-bridge converter controlled by proportional resonant[J]. International Journal of Electrical Power & Energy Systems, 2021, 125: 106476.
[23] Skokos C, Gottwald G A, Laskar J.Chaos Detection and Predictability[M]. Berlin, Heidelberg: Springer, 2016
[24] Yan Jie, Liu C C, Vaidya U.PMU-based monitoring of rotor angle dynamics[J]. IEEE Transactions on Power Systems, 2011, 26(4): 2125-2133.
[25] 国家质量监督检验检疫总局, 中国国家标准化管理委员会. 风电场接入电力系统技术规定: GB/T 19963—2011[S]. 北京: 中国标准出版社, 2012.
[26] Gurusinghe D R, Rajapakse A D.Post-disturbance transient stability status prediction using synchrophasor measurements[J]. IEEE Transactions on Power Systems, 2016, 31(5): 3656-3664.