Excitation Control Strategy of Synchronous Condenser Based on Grey Prediction PI for HVDC Receiving-end System
[1]WANG Mingdong,LI Chongchong,LIANG Jiaojiao,et al.Excitation Control Strategy of Synchronous Condenser Based on Grey Prediction PI for HVDC Receiving-end System[J].Journal of Zhengzhou University (Engineering Science),2026,47(5):35-42.[doi:10.13705/j.issn.1671-6833.2026.05.006]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
47
Number of periods:
2026 Issue 5
Page number:
35-42
Column:
Public date:
2026-09-09
- Title:
- Excitation Control Strategy of Synchronous Condenser Based on Grey Prediction PI for HVDC Receiving-end System
- Keywords:
- synchronous condenser; high voltage direct current; excitation control; PI; grey prediction
- CLC:
- TM342TP273
- Abstract:
- Aiming at the problem that the conventional PI excitation control was prone to bus voltage overshoot and oscillation in the fault recovery stage after the large‑capacity synchronous condenser was connected to the high voltage direct current (HVDC) receiving‑end system, a PI excitation control strategy of synchronous condenser based on grey prediction model GM(1,1) was proposed in this study. In this strategy the predicted value of voltage deviation was obtained in advance by grey modeling and trend prediction of the receiving bus voltage sequence, and was used as the input of the PI controller to realize the forward‑looking adjustment of the excitation voltage. Based on the CIGRE standard test system, a PSCAD/EMTDC and MATLAB/Simulink co‑simulation platform was constructed. Under various typical disturbance conditions, the dynamic response characteristics of grey prediction PI control and conventional PI control were compared and analyzed. The simulation results showed that the proposed control strategy could effectively compensate the large inertia lag of the excitation system, significantly suppress the bus voltage overshoot and shorten the system adjustment time. With the three‑phase short‑circuit fault, the minimum value of bus voltage was increased by about 4.5 kV, the minimum value of DC transmission power was increased by about 31 MW, and the system recovery time was significantly shortened. This method had the characteristics of low computational complexity and strong real‑time performance, which could provide an effective technical way for the optimization of excitation control of synchronous condenser in HVDC receiving‑end system.
- References:
-
[1] Liu Jialiang, Lei Jiaxing, Li Chun, et al. Research on active voltage support control method for distribution static synchronous compensator[J]. Journal of Electrical Engineering, 2024, 19(2): 55‑64.［刘嘉樑，雷嘉兴，李富春，等．配电网静止同步补偿器的主动电压支撑控制方法研究［J］．电气工程学报，2024，19（2）：55‑64．］
[2] Hua Wen, Xiong Hongtao, Zhou Yongzhi, et al. Dynamic reactive power characteristic analysis of inverters under the commutation failure faults in HVDC systems[J]. Energy Reports, 2022, 8: 75‑82.
[3] Wang Shunliang, Xie Yang, Ma Junpeng, et al. Coordinated control strategy for a UHVDC hierarchical connection system based on DC current control[J]. Power System Protection and Control, 2022, 50(19): 167‑178.［王顺亮，谢洋，马俊鹏，等．基于直流电流控制的特高压直流分层接入系统协调控制策略［J］．电力系统保护与控制，2022，50（19）：167‑178．］
[4] Su Chengsheng, Yin Chunya, Li Fengting. Commutation failure analysis in HVDC transmission system based on DC current dynamic rise[J]. Electric Power Automation Equipment, 2023, 43(3): 204‑209.［苏常胜，尹纯亚，李凤婷．基于直流电流动态上升的高压直流输电系统换相失败分析［J］．电力自动化设备，2023，43（3）：204‑209．］
[5] He Zhiyuan, Gao Chong, Ding Xiao, et al. A review of commutation failure prevention technology for multi‑infeed HVDC transmission systems[J]. High Voltage Engineering, 2024, 50(7): 2735‑2746.［贺之渊，高冲，丁骁，等．多馈入高压直流输电系统换相失败防御技术研究综述［J］．高电压技术，2024，50（7）：2735‑2746．］
[6] Yan Jun, Wang Mingdong, Li Zhongwen. Research on variable universe fuzzy PI control of static var compensators[J]. Advanced Technology of Electrical Engineering and Energy, 2021, 40(9): 64‑70.［闫君，王明东，李忠文．静止无功补偿器变论域模糊PI控制研究［J］．电工电能新技术，2021，40（9）：64‑70．］
[7] Hu Jilei, Liu Xuecan, Jiang Ningqiang, et al. IPEBS method for transient stability analysis of power system with SVC[J]. Journal of Electrical Engineering, 2023, 18(3): 277‑284.［胡继磊，刘雪粲，江宁强，等．含SVC电力系统的IPEBS法暂态稳定分析［J］．电气工程学报，2023，18（3）：277‑284．］
[8] Zhu Hongchao, Shen Yijun, Xiong Hongtao, et al. Capacity configuration and coordinated control strategy of synchronous condensers and static reactive power compensation devices[J]. Journal of Electric Power Science and Technology, 2021, 36(6): 47‑55.［朱宏超，沈轶君，熊鸿韬，等．调相机与静态无功补偿装置的容量配置和协调控制策略［J］．电力科学与技术学报，2021，36（6）：47‑55．］
[9] Ouyang Jinxin, Lin Yaowei, Ye Zhiqi, et al. Electro‑thermal modeling and thermal analysis of high‑inertia synchronous condenser converters[J]. Electricity, 2025, 6(3): 53.
[10] Lee J, Jo H, Kim S. Optimal determination of synchronous condenser placement and voltage setting for enhancing power system stability[J]. Energies, 2025, 18(24): 6474.
[11] Huo Chengxiang, Yu Dahai, Ma Xiaoguang, et al. Impact of dynamic gain of excitation system on dynamic damping of salient‑pole generator[J]. Automation of Electric Power Systems, 2022, 46(7): 116‑121.［霍承祥，于大海，马晓光，等．励磁系统动态增益对凸极发电机动态阻尼的影响［J］．电力系统自动化，2022，46（7）：116‑121．］
[12] Cao Wei, Zhang Tian, Fu Yesheng, et al. Research and application for increasing inertia and improving frequency response of power system by using synchronous condenser[J]. Automation of Electric Power Systems, 2020, 44(3): 1‑10.［曹炜，张甜，傅业盛，等．同步调相机增强电力系统惯性和改善频率响应的研究与应用［J］．电力系统自动化，2020，44（3）：1‑10．］
[13] Xiao Yang, Li Zhiqiang, Cheng Lin, et al. AVC comprehensive coordinated control strategy of centralized condenser in northwest power grid[J]. Power Generation Technology, 2023, 44(2): 270‑279.［肖洋，李志强，程林，等．西北电网集中式调相机AVC综合协调控制策略［J］．发电技术，2023，44（2）：270‑279．］
[14] CIGRE. Guide on the assessment, specification and design of synchronous condenser for power system with pre‑dominance of low or zero inertia generators[EB/OL]. (2022‑11)[2026‑01‑24]. https://www.e‑cigre.org/publications/detail/885 guide on the assessment specification and design of synchronous condenser for power system with predominance of low or zero inertia generators. html.
[15] Chen Qiang, Wang Hua, Wang Kewen, et al. PSVR parameters adjustment on large capacity synchronous condensers[J]. Journal of Zhengzhou University (Engineering Science), 2020, 41(4): 81‑86.［陈强，王骅，王克文，等．大容量调相机PSVR参数调整［J］．郑州大学学报（工学版），2020，41（4）：81‑86．］
[16] Li Zhiqiang, Xiao Yang, Li Chenghao, et al. Influence of excitation system on the dynamic reactive power characteristics of condensers[J]. Power System and Clean Energy, 2023, 39(7): 1‑8.［李志强，肖洋，李程昊，等．励磁系统对调相机动态无功特性的影响［J］．电网与清洁能源，2023，39（7）：1‑8．］
[17] Wu Zhenlong, Li Lin, Liu Yanhong. Path tracking of agricultural machinery based on fully actuated control approaches[J]. Journal of Zhengzhou University (Engineering Science), 2025, 46(4): 24‑31.［吴振龙，李林，刘艳红．基于全驱控制方法的农机路径跟踪控制［J］．郑州大学学报（工学版），2025，46（4）：24‑31．］
[18] Li Yujiang, Chen Ping, Qi Lele, et al. Optimal design of excitation control system of phase modulation camera based on fuzzy PID[J]. Electric Age, 2025(3): 146‑152.［李禹江，陈平，祁乐乐，等．基于模糊PID的调相机励磁控制系统优化设计［J］．电气时代，2025（3）：146‑152．］
[19] Zhang Changfu, Wang Tianhe. Variable universe fuzzy PI speed control of permanent magnet synchronous motor for vehicle traction[J]. Electrical Machinery Technology, 2025(6): 25‑29.［张长福，王天鹤．车用驱动永磁同步电动机变论域模糊PI速度控制［J］．电机技术，2025（6）：25‑29．］
[20] Liang Xi. Design and implementation of medium frequency induction heating power supply based on fuzzy neural network BP‑PI Control[D]. Wuhan: Hubei University of Automotive Technology, 2025.［梁锡．基于模糊神经网络BP‑PI控制的中频感应加热电源设计与实现［D］．武汉：湖北汽车工业学院，2025．］
[21] Wang Mingdong, He Shengxiang, Li Xiaolei, et al. Grey prediction PI control of direct drive permanent magnet synchronous wind turbine[J]. Water Resources and Power, 2021, 39(5): 189‑192.［王明东，何胜祥，李晓蕾，等．直驱永磁同步风力发电机灰色预测PI控制［J］．水电能源科学，2021，39（5）：189‑192．］
[22] Bošković M Ć, Šekara T B, Stojić D M, et al. Novel tuning rules for PIDC controllers in automatic voltage regulation systems under constraints on robustness and sensitivity to measurement noise[J]. International Journal of Electrical Power & Energy Systems, 2024, 157: 109791.
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Last Update:
2026-09-04
