Journal of Shandong University(Engineering Science) ›› 2026, Vol. 56 ›› Issue (3): 166-176.doi: 10.6040/j.issn.1672-3961.0.2025.145

• Electrical Engineering • Previous Articles     Next Articles

Identification method of transient voltage instability in case of renewable generation supply

ZOU Xin1, MENG Jian1, FU Shiqi1, LIU Junyu2*, WANG Haifeng2, DANG Chongyang2   

  1. ZOU Xin1, MENG Jian1, FU Shiqi1, LIU Junyu2*, WANG Haifeng2, DANG Chongyang2(1. State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China;
    2. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University), Jinan 250061, Shandong, China
  • Published:2026-06-09

PDF (PC)

3

Abstract: To address the issue of reduced identification accuracy in the conventional positive-feedback-based transient voltage stability identification method under renewable generation integration scenarios, an improved strategy incorporating additional criteria was proposed on the basics of the original method. Voltage dynamic characteristics during the post-disturbance recovery stage were examined according to renewable generation unit control strategies, and the factors responsible for the degraded accuracy of the original method under renewable integration were identified. The conventional positive-feedback-based voltage instability criterion was modified by introducing the criterion activation-duration threshold and the voltage safety threshold. Simulation-based validation was conducted on the IEEE 39-bus system and the CEPRI-TAVC benchmark system. The results showed that appropriately prolonging the criterion activation-duration threshold and reducing the voltage safety threshold improved the identification accuracy of transient voltage stability.

Key words: renewable energy generation, transient voltage stability, identification method, additional criteria, accuracy

CLC Number: 

  • TM712
[1] 饶仪明, 吕敬, 王众, 等. 基于数据-模型融合驱动的新能源场站宽频阻抗在线辨识及稳定性评估[J]. 中国电机工程学报, 2024, 44(7): 2670-2684. RAO Yiming, LYU Jing, WANG Zhong, et al. Wideband impedance online identification and stability assessment of renewable power plants based on physics-informed data-driven method[J]. Proceedings of the CSEE, 2024, 44(7): 2670-2684.
[2] 郑军铭, 冯丽, 蔡志远, 等. 基于IMPMMS并网的新能源电压稳定性分析[J]. 电机与控制学报, 2024, 28(3): 66-74. ZHENG Junming, FENG Li, CAI Zhiyuan, et al. Voltage stability analysis of new energy based on IMPMMS grid connection[J]. Electric Machines and Control, 2024, 28(3): 66-74.
[3] DRID M D, HAMDANI S, NAIT-SEGHIR A, et al. Optimal energy management systems and voltage stabilization of renewable energy networks[J]. Applied Sciences, 2024, 14(21): 9782.
[4] 邓晖, 赵晋泉, 吴小辰, 等. 基于受扰电压轨迹的电力系统暂态失稳判别:(一)机理与方法[J]. 电力系统自动化, 2013, 37(16): 27-32. DENG Hui, ZHAO Jinquan, WU Xiaochen, et al. Transient instability detection of power system based on perturbed voltage trajectories: part one theory and method[J]. Automation of Electric Power Systems, 2013, 37(16): 27-32.
[5] 薛安成, 周健, 刘瑞煌, 等. 采用多二元表判据的实用暂态电压稳定裕度指标研究[J]. 中国电机工程学报, 2018, 38(14): 4117-4125. XUE Ancheng, ZHOU Jian, LIU Ruihuang, et al. A new practical transient voltage stability margin index based on multiple-two-element notation criterion[J]. Proceedings of the CSEE, 2018, 38(14): 4117-4125.
[6] 冉慧娟, 王治钟, 高本锋, 等. 适用于高压直流输电受端系统的两阶段暂态电压评估方法[J]. 电网技术, 2023, 47(10): 4272-4284. RAN Huijuan, WANG Zhizhong, GAO Benfeng, et al. Two-stage transient voltage evaluation suitable for HVDC receiving systems[J]. Power System Technology, 2023, 47(10): 4272-4284.
[7] 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.
[8] 张晓英, 高金, 王琨, 等. 基于电压时间序列的电力系统暂态电压稳定分析[J]. 智慧电力, 2021, 49(3): 51-58. ZHANG Xiaoying, GAO Jin, WANG Kun, et al. Transient voltage stability analysis of power system based on voltage time series[J]. Smart Power, 2021, 49(3): 51-58.
[9] SILVA R M, CASTOLDI M F, GOEDTEL A, et al. Binary differential evolution applied to the optimization of the voltage stability margin through the selection of corrective control sets[J]. Soft Computing, 2024, 28(15): 8861-8887.
[10] THOMASS R, NAIR V V, NAIR U. Criticality identification in power distribution networks with voltage stability index based on apparent power[J]. Electric Power Components and Systems, 2022, 50(19/20): 1161-1173.
[11] ZENG H, XU J, YU C Y, et al. Analysis of equivalent inertia of induction motors and its influencing factors[J]. Electric Power Systems Research, 2023, 225: 109820.
[12] 郑勇, 罗雍溢, 曾琦, 等. VSC-HVDC适应感应电动机负荷稳定性研究[J]. 电测与仪表, 2020, 57(4): 7-14. ZHENG Yong, LUO Yongyi, ZENG Qi, et al. Study on load stability of VSC-HVDC for induction motor[J]. Electrical Measurement & Instrumentation, 2020, 57(4): 7-14.
[13] 王青子, 袁小明. 异步电动机幅相运动方程模型及动态过程机理分析[J]. 中国电机工程学报, 2021, 41(1): 363-373. WANG Qingzi, YUAN Xiaoming. Amplitude-phase motion equation model of induction motor and analysis of dynamic process mechanism[J]. Proceedings of the CSEE, 2021, 41(1): 363-373.
[14] 李文俏, 王振树, 李中强. 基于分岔理论的负荷模型对交直流混联系统电压稳定性的影响[J]. 电力自动化设备, 2020, 40(11): 144-149. LI Wenqiao, WANG Zhenshu, LI Zhongqiang. Influence of bifurcation theory based load model on voltage stability of AC/DC hybrid system[J]. Electric Power Automation Equipment, 2020, 40(11): 144-149.
[15] PENG L, XU S Y, AN Z Y, et al. Research on the quantitative impact of power angle oscillations on transient voltage stability in AC/DC receiving-end power grids[J]. Energies, 2025, 18(8): 1925.
[16] 吕钦刚. 基于戴维南等值参数解析辨识的中长期电压稳定在线监视[D]. 哈尔滨: 哈尔滨工业大学, 2019. LÜ Qingang. On-line monitoring of mid-long term voltage stability based on the analytical identification method of Thevenin equivalent parameter[D]. Harbin: Harbin Institute of Technology, 2019.
[17] 曹志冲, 刘铖, 蔡国伟, 等. 基于响应数据的暂态电压分区协调控制策略[J]. 电力自动化设备, 2025, 45(6): 164-172. CAO Zhichong, LIU Cheng, CAI Guowei, et al. Coordination control strategy for transient voltage partitioning based on response data[J]. Electric Power Automation Equipment, 2025, 45(6): 164-172.
[18] 郑超, 孙华东, 陈怡君. 基于广域支路响应特征的失稳预判与紧急控制[J]. 中国电机工程学报, 2021, 41(17): 5866-5876. ZHENG Chao, SUN Huadong, CHEN Yijun. Instability prejudge and emergency control based on the response characteristic of wide-area branches[J]. Proceedings of the CSEE, 2021, 41(17): 5866-5876.
[19] 汤涌, 易俊, 孙华东, 等. 基于功率电流变化关系的电压失稳判别方法[J]. 中国电机工程学报, 2010, 30(28): 7-11. TANG Yong, YI Jun, SUN Huadong, et al. Voltage instability criterion based on variation relationship of power and current[J]. Proceedings of the CSEE, 2010, 30(28): 7-11.
[20] 郑超, 孙华东, 杨大业. 基于广域支路响应的暂态电压失稳判据与控制[J]. 中国电机工程学报, 2023, 43(24): 9470-9480. ZHENG Chao, SUN Huadong, YANG Daye. Criterion and control of transient voltage instability based on wide area branch response[J]. Proceedings of the CSEE, 2023, 43(24): 9470-9480.
[21] 王晓辉, 党崇阳, 刘峻宇, 等. 功率因数映射负荷正反馈不稳定域的暂态电压失稳判别[J]. 电工技术学报, 2025, 40(17): 5476-5486. WANG Xiaohui, DANG Chongyang, LIU Junyu, et al. Transient voltage instability identification based on positive-feedback unstable region mapped by power factor during load dynamics[J]. Transactions of China Electrotechnical Society, 2025, 40(17): 5476-5486.
[22] 范宏, 刘琳琳, 田书欣. 基于高风险场景的关键输电断面极限优化模型[J]. 智慧电力, 2025, 53(4): 1-10. FAN Hong, LIU Linlin, TIAN Shuxin. Optimization model for critical transmission interface limits based on high-risk scenarios[J]. Smart Power, 2025, 53(4): 1-10.
[23] 甄永赞, 阮程, 胡永强, 等. 基于分级自适应倾斜决策树的电力系统主导失稳模式辨识方法研究[J]. 中国电机工程学报, 2024, 44(24): 9507-9520. ZHEN Yongzan, RUAN Cheng, HU Yongqiang, et al. Dominant instability mode identification method of power system based on hierarchical-self-adaptive oblique decision tree[J]. Proceedings of the CSEE, 2024, 44(24): 9507-9520.
[24] WANG L, PENG Y, LUO J. Model reduction method for spacecraft electrical system based on singular perturbation theory[J]. Electronics, 2024, 13(21): 4291.
[25] 兰天楷, 孙华东, 徐式蕴, 等. 新能源低电压穿越主导的电力系统暂态电压失稳机理分析[J]. 电力系统自动化, 2024, 48(12): 58-67. LAN Tiankai, SUN Huadong, XU Shiyun, et al. Mechanism analysis of power system transient voltage instability dominated by low voltage ride-through of renewables[J]. Automation of Electric Power Systems, 2024, 48(12): 58-67.
[26] 吴林林, 赵伟, 徐曼, 等. 考虑风电机组故障穿越特性的电压反复波动机理分析与抑制[J]. 全球能源互联网, 2022, 5(3): 290-297. WU Linlin, ZHAO Wei, XU Man, et al. Mechanism analysis and suppression of repeated voltage fluctuation considering fault ride through characteristics of the wind turbine[J]. Journal of Global Energy Interconnection, 2022, 5(3): 290-297.
[27] 韩继尧. 混合直流受端系统稳定特征提取研究[D]. 济南: 山东大学, 2022: 48-56. HAN Jiyao. Study on stability feature extraction of hybrid HVDC receiving system[D]. Jinan: Shandong University, 2022: 48-56.
[28] 甄永赞, 阮程. 基于代价敏感支持向量机和多变量决策树的分级自适应暂态电压稳定评估[J]. 电网技术, 2024, 48(2): 778-791. ZHEN Yongzan, RUAN Cheng. Hierarchical self-adaptation transient voltage stability assessment based on cost-sensitive SVM and multivariate decision tree[J]. Power System Technology, 2024, 48(2): 778-791.
[29] 步雨洛, 吴俊勇, 史法顺, 等. 考虑新能源的暂态功角与电压稳定一体化评估[J]. 中国电力, 2025, 58(6): 122-136. BU Yuluo, WU Junyong, SHI Fashun, et al. Integrated assessment of transient angle stability and transient voltage stability considering renewable energy sources[J]. Electric Power, 2025, 58(6): 122-136.
[30] 刘昱辰, 吴浩, 董哲润, 等. 基于稳定指标多项式逼近的参数空间暂态电压稳定域边界确定方法[J]. 电网技术, 2025, 49(6): 2322-2333. LIU Yuchen, WU Hao, DONG Zherun, et al. Determination method for transient voltage stability region boundary in parameter space based on polynomial approximation of stability index[J]. Power System Technology, 2025, 49(6): 2322-2333.
[1] Yinfeng MENG,Qingfang LI. Recognition learning based on multivariate functional principal component representation [J]. Journal of Shandong University(Engineering Science), 2022, 52(3): 1-8.
[2] Peng WAN. Object detection of 3D point clouds based on F-PointNet [J]. Journal of Shandong University(Engineering Science), 2019, 49(5): 98-104.
[3] Ya'nan YANG,Bin XIA,Nan XIE,Wenhao YUAN. Hybrid localization algorithm based on BP neural network and multivariable Taylor series [J]. Journal of Shandong University(Engineering Science), 2019, 49(1): 36-40.
[4] LIU Chen, CAI Ting. A localization algorithm based on RSSI vector for wireless sensor networks [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(3): 23-30.
[5] CHEN Jintan1, 2, KANG Hengzheng3*, YANG Yan3, ZHOU Weixiong 4. A classification method for class-imbalanced data [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2011, 41(2): 96-101.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Copyright 2018 © Editorial office of Journal of Shandong University (Engineering Science)
Supported by Beijing Magtech Co.Ltd