RESEARCH ON AUTONOMOUS SENSING OF VOLTAGE AND REACTIVE POWER SENSITIVITY AND AVC CONTROL PARAMETER ADAPTIVE FOLLOWING METHOD IN AVC SUBSTATIONS OF WINDS FARMS

Zhu Dandan; Ye Shiqi; Zhou Qian; Liu Wei; Zhu Xiaorong; Xu Xiaochun

doi:10.19912/j.0254-0096.tynxb.2024-1534

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 502-512. DOI: 10.19912/j.0254-0096.tynxb.2024-1534

RESEARCH ON AUTONOMOUS SENSING OF VOLTAGE AND REACTIVE POWER SENSITIVITY AND AVC CONTROL PARAMETER ADAPTIVE FOLLOWING METHOD IN AVC SUBSTATIONS OF WINDS FARMS

Zhu Dandan¹, Ye Shiqi², Zhou Qian¹, Liu Wei², Zhu Xiaorong², Xu Xiaochun³

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Abstract

The accuracy of voltage and reactive power sensitivity parameters directly determines the performance of wind farm automatic voltage control（AVC）. Deviation in these parameters leads to degraded control performance and an inability to ensure grid-connected voltage quality. To address this,this paper proposes a method for autonomous sensing of voltage and reactive power sensitivity and adaptive control parameter tracking in AVC sub-stations of wind farms. Firstly, the key factors affecting the voltage and reactive power sensitivity of wind farms are analyzed. Therefore, a method for autonomous sensing of voltage and reactive power sensitivity of wind farm AVC sub-stations considering operation modes and line length correction is proposed. Through real-time measurement data of wind farm AVC, the voltage and reactive power sensitivity of the wind farm grid connection point is calculated online. Secondly, based on the proposed sensitivity-based autonomous sensing method, an AVC control parameter adaptive following method is proposed based on the characteristics of voltage changes during the adjustment process to improve the problems of multiple adjustments failing to enter the dead zone and voltage oscillation in wind farm voltage control. Finally, a simulation model of a wind power collection area is built in Matlab/Simulink to verify the accuracy and effectiveness of the proposed method.

Key words

wind farms / voltage and reactive power sensitivity / automatic voltage control / autonomous sensing / adaptive follow / voltage oscillation

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Zhu Dandan, Ye Shiqi, Zhou Qian, Liu Wei, Zhu Xiaorong, Xu Xiaochun. RESEARCH ON AUTONOMOUS SENSING OF VOLTAGE AND REACTIVE POWER SENSITIVITY AND AVC CONTROL PARAMETER ADAPTIVE FOLLOWING METHOD IN AVC SUBSTATIONS OF WINDS FARMS[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 502-512 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1534

References

[1] 尚磊, 唐王倩云, 苏适, 等. 构网型无功补偿抑制新能源送端暂态过电压[J]. 电力工程技术, 2024, 43(2): 83-93. SHAN L, TANG W Q Y, SU S, et al. Suppression of transient overvoltage in renewable energy transmission terminal by grid-forming based reactive power compensation[J]. Electric power engineering technology, 2024, 43(2):83-93.
[2] 陈鹤林, 郑晓云. 海上风电多端柔性直流并网系统频率支持研究[J]. 太阳能学报, 2022, 43(3): 356-365. CHEN H L, ZHENG X Y. Research on frequency support of offshore wind power VSC-MT DC grid connected system[J]. Acta energiae solaris sinica, 2022, 43(3): 356-365.
[3] 崔杨, 周慧娟, 仲悟之, 等. 考虑源荷两侧不确定性的含风电电力系统低碳调度[J]. 电力自动化设备, 2020, 40(11):85-93. CUI Y, ZHOU H J, ZHONG W Z, et al. Low-carbon scheduling of power system with wind power considering uncertainty of both source and load sides[J]. Electric power automation equipment, 2020, 40(11):85-93.
[4] 杨铎烔, 俞靖一, 葛俊, 等. 海上风电场自适应多目标无功优化控制策略[J]. 电力工程技术, 2024, 43(3): 121-129. YANG D T, YU J Y, GE J, et al. Adaptive multi-objective reactive power optimization control strategy for offshore wind farms[J]. Electric power engineering technology, 2024, 43(3): 121-129.
[5] 江智军, 袁轩, 邱文浩, 等. 含新能源和电动汽车充电站并网的主动配电网无功优化模型[J]. 电力系统及其自动化学报, 2024, 36(2): 116-125. JIANG Z J, YUAN X, QIU W H, et al. Reactive power optimization model of active distribution network with new energy and electric vehicle charging stations[J]. Proceedings of the CSU-EPSA, 2024, 36(2):116-125.
[6] 陈倩, 王维庆, 王海云, 等. 含分布式电源的配电网动态无功补偿优化策略研究[J]. 太阳能学报, 2023, 44(1): 525-535. CHEN Q, WANG W Q, WANG H Y, et al. Research on dynamic reactive power compensation optimization strategy of distribution network with distributed power generation[J]. Acta energiae solaris sinica, 2023, 44(1): 525-535.
[7] 崔馨慧, 贠志皓, 刘道伟, 等. 大电网静态电压稳定在线防控灵敏度分析新方法[J]. 电网技术, 2020, 44(1): 245-254.CUI X H, YUN Z H, LIU D W, et al. A new method of sensitivity analysis for static voltage stability online prevention and control of large power grids[J]. Power system technology, 2020, 44(1): 245-254.
[8] 刘蕊, 吴奎华, 冯亮, 等. 含高渗透率分布式光伏的主动配电网电压分区协调优化控制[J]. 太阳能学报, 2022, 43(2): 189-197.LIU R, WU K H, FENG L, et al. Active partition of active distribution network of coordinated optimization high penetration distributed PVs[J]. Acta energiae solaris sinica, 2022, 43(2): 189-197.
[9] 张旭, 陈云龙, 王仪贤, 等. 基于潮流断面修正的含风电电网无功-电压分区方法[J]. 电力自动化设备, 2019, 39(10): 48-54. ZHANG X, CHEN Y L, WANG Y X, et al. Reactive power-voltage partitioning of power grid with wind power based on correction of power flow section[J]. Electric power automation equipment, 2019, 39(10): 48-54.
[10] 高鹏程, 王蕾, 李立生, 等. 基于光伏逆变器调节的配电网电压控制策略[J]. 电力自动化设备, 2019, 39(4):190-196.GAO P C, WANG L, LI L S, et al. Voltage control strategy based on adjustment of PV inverters in distribution network[J]. Electric power automation equipment, 2019, 39(4): 190-196.
[11] 李东东, 高晓城, 孙梦显, 等. 考虑元件功率电压特性的混合馈入直流输电系统静态电压稳定分析[J]. 电网技术, 2021, 45(12): 4912-4921. LI D D, GAO X C, SUN M X, et al. Steady-state voltage stability analysis of hybrid infeed HVDC system considering power and voltage characteristics of system components[J]. Power system technology, 2021, 45(12):4912-4921.
[12] PIERROU G, WANG X Z.An online network model-free wide-area voltage control method using PMUs[J]. IEEE transactions on power systems, 2021, 36(5): 4672-4682.
[13] BANFIELD B, ROBINSON D A, AGALGAONKAR A P.Distributed MPC of residential energy storage for voltage regulation and peak shaving along radial distribution feeders[J]. IEEE transactions on energy conversion, 2021, 36(2): 1413-1424.
[14] NAZIR F U, PAL B C, JABR R A.Affinely adjustable robust volt/VAr control without centralized computations[J]. IEEE transactions on power systems, 2023, 38(1): 656-667.
[15] 杨冬锋, 付强, 刘晓军, 等. 配电网动态拓扑与线路参数联合在线辨识方法[J]. 电力系统自动化, 2022, 46(2):101-108. YANG D F, FU Q, LIU X J, et al. Joint online identification method for dynamic topology and line parameters of distribution network[J]. Automation of electric power systems, 2022, 46(2):101-108.
[16] 唐泽洋, 周鲲鹏, 曹侃, 等. 基于配电网运行数据的线变关系校验方法[J]. 高电压技术, 2018, 44(4):1059-1068.TANG Z Y, ZHOU K P, CAO K, et al. Substation area topology verification method based on distribution network operation data[J]. High voltage engineering, 2018, 44(4):1059-1068.
[17] 李炜祺, 窦晓波, 张科鑫, 等. 数据驱动的配电网电压灵敏度感知方法[J]. 电网技术, 2023, 47(11):4711-4718. LI W Q, DOU X B, ZHANG K X, et al. Data-driven voltage sensitivity sensing method for distribution network [J]. Power system technology, 2023, 47(11):4711-4718.
[18] 李鹏, 宿洪智, 王成山, 等. 基于PMU量测的智能配电网电压-功率灵敏度鲁棒估计方法[J]. 电网技术, 2018, 42(10):3258-3267. LI P, SU H Z, WANG C S, et al. Robust estimation method of voltage to power sensitivity for smart distribution networks based on PMU measurements [J]. Power system technology, 2018, 42(10):3258-3267.
[19] ZHANG J B, WANG Z J, ZHENG X T, et al.Locally weighted ridge regression for power system online sensitivity identification considering data collinearity[J]. IEEE transactions on power systems, 2018, 33(2): 1624-1634.
[20] DA SILVA E L, LIMA A M N, DE ROSSITER CORREA M B, et al. Data-driven sensitivity coefficients estimation for cooperative control of PV inverters[J]. IEEE transactions on power delivery, 2020, 35(1): 278-287.
[21] 张波, 文晓君, 吴璇. 基于电压-功率灵敏度的有源配电网数据驱动电压协调控制策略[J]. 电力系统及其自动化学报, 2025, 37(1): 35-42.ZHANG B, WEN X J, WU X. Data driven coordinated voltage control strategy for active distribution network based on voltage-power sensitivity [J]. Proceedings of the CSU-EPSA, 2025, 37(1): 35-42.
[22] 杨浩, 朱宇迪, 刘铖, 等. 基于MLSSVR数据驱动的潮流非线性回归及其灵敏度解析[J]. 中国电机工程学报, 2022, 42(21): 7706-7719. YANG H, ZHU Y D, LIU C, et al. Data-driven nonlinear power flow regression and analytical sensitivity calculation using MLSSVR [J]. Proceedings of the CSEE, 2022, 42(21): 7706-7719.