PHOTOVOLTAIC ACCESS RPC VARIABLE STEP ADALINE SELF-INTRUSION LOW FREQUENCY OSCILLATION MANAGEMENT

Zhao Xia; Ma Shumei; Wang Ying; Chen Xiaoqiang; Ge Leijiao; Ma Yafei

doi:10.19912/j.0254-0096.tynxb.2024-2308

PDF(7062 KB)

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (5) : 603-612. DOI: 10.19912/j.0254-0096.tynxb.2024-2308

PHOTOVOLTAIC ACCESS RPC VARIABLE STEP ADALINE SELF-INTRUSION LOW FREQUENCY OSCILLATION MANAGEMENT

Zhao Xia¹, Ma Shumei¹, Wang Ying¹, Chen Xiaoqiang¹, Ge Leijiao^1,2, Ma Yafei³

Author information +

History +

Abstract

In order to improve the low-frequency stability of photovoltaic integration into the railway power supply system through the railway power conditioner （RPC）, RPC variable-step-size adaptive neural network （Adaline） self-immune model predictive control strategy was proposed. Firstly, the operation principle of photovoltaic access to railway power supply system was analyzed, and the mathematical model of photovoltaic and RPC single-phase power supply arm were established. Secondly, the characteristics of the traditional model predictive control and ADRC in suppressing system disturbances were analyzed. In view of the difficulty of parameter setting of active disturbance rejection controller, the online parameter tuning using a variable-step-size Adaline was implemented to suppress system disturbance, and the low frequency stability of new energy photovoltaic system was im-proved when it was integrated into railway power supply system. Finally, After testing and comparison, the proposed strategy improves the low frequency stability of the system, reduces the total harmonic distortion rate of the system current, takes into account the fast response of DC voltage and overshoot suppression, and avoids the parameter tuning of the ADRC controller.

Key words

PV power generation / railway power conditioner / low-frequency stability / model predictive control / variable step size Adaline self-immunity / adaptive linear neural network

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Zhao Xia, Ma Shumei, Wang Ying, Chen Xiaoqiang, Ge Leijiao, Ma Yafei. PHOTOVOLTAIC ACCESS RPC VARIABLE STEP ADALINE SELF-INTRUSION LOW FREQUENCY OSCILLATION MANAGEMENT[J]. Acta Energiae Solaris Sinica. 2026, 47(5): 603-612 https://doi.org/10.19912/j.0254-0096.tynxb.2024-2308

References

[1] 胡海涛, 葛银波, 黄毅, 等. 电气化铁路“源-网-车-储”一体化供电技术[J]. 中国电机工程学报, 2022, 42(12): 4374-4390.
HU H T, GE Y B, HUANG Y, et al.“Source-network-train-storage” integrated power supply system for electric railways[J]. Proceedings of the CSEE, 2022, 42(12): 4374-4390.
[2] 邓文丽, 戴朝华, 陈维荣. 光伏接入牵引供电系统的多元制约因素初探[J]. 太阳能学报, 2020, 41(8): 192-203.
DENG W L, DAI C H, CHEN W R.Preliminary research of multiple constriction for PV access traction power supply system[J]. Acta energiae solaris sinica, 2020, 41(8): 192-203.
[3] 李炜康, 刘婷婷, 王哲铭, 等. 基于改进鹰栖息优化算法的光伏系统MPPT控制[J]. 太阳能学报, 2025, 46(1): 662-668.
LI W K, LIU T T, WANG Z M, et al.MPPT control of photovoltaic system based on improved eagle perching optimization[J]. Acta energiae solaris sinica, 2025, 46(1): 662-668.
[4] 陈伟, 丁聪, 裴婷婷, 等. 基于矩阵扰动法和传感器优化配置的光伏阵列故障定位方法[J]. 太阳能学报, 2025, 46(1): 641-653.
CHEN W, DENG C, PEI T T, et al.Photovoltaic array fault location method based on matrix perturbation method and sensor optimal configuration[J]. Acta energiae solaris sinica, 2025, 46(1): 641-653.
[5] 邬明亮, 郭爱, 邓文丽, 等. 铁路牵引用背靠背光伏发电系统及其消纳能力研究[J].太阳能学报, 2019, 40(12): 3444-3450.
WU M L, GUO A, DENG W L, et al.Research on back-to-back PV generation system for railway traction and its accommodation ability[J]. Acta energiae solaris sinica, 2019, 40(12): 3444-3450.
[6] 赵霞, 谢子昀, 王英, 等. 基于拓展禁区判据的光伏接入牵引供电系统低频稳定性分析[J]. 高电压技术, 2023, 49(5): 1997-2007.
ZHAO X, XIE Z Y, WANG Y, et al.Low frequency stability analysis of photovoltaic access traction power supply system based on extended exclusion zone criterion[J]. High voltage technology, 2023, 49(5): 1997-2007.
[7] 吴磊, 舒洋浩, 周斌彬, 等. 基于配置与能量管理协同的铁路光储系统经济性提升策略[J]. 铁道科学与工程学报, 2024, 21(11): 4711-4723.
WU L, SHU Y H, ZHOU B B, et al.Economic improvement strategy of optical storage system for railway traction based on configuration and energy management[J]. Journal of railway science and engineering, 2024, 21(11): 4711-4723.
[8] 王英, 辛月阳, 谢子昀, 等. 光储接入牵引供电系统应急供电方案下低频稳定性研究[J]. 铁道科学与工程学报, 2024, 21(3): 1189-1120.
WANG Y, XIN Y Y, XIE Z Y, et al.Low-frequency stability under emergency power supply scheme of photovoltaic and battery access traction power supply system[J]. Journal of railway science and engineering, 2024, 21(3): 1189-1120.
[9] HU H T, ZHOU Y, LI X, et al.Low-frequency oscillation in electric railway depot: a comprehensive review[J]. IEEE transactions on power electronics, 2021, 36(1): 295-314.
[10] 王晖, 吴命利. 牵引网低频振荡及其抑制方法的仿真分析[J]. 电网技术, 2015, 39(4): 1088-1095.
WANG H, WU M L.Simulation analysis on low-frequency oscillation in traction power supply system and its suppression method[J]. Power system technology, 2015, 39(4): 1088-1095.
[11] LIAO Y C, LIU Z G, ZHANG H, et al.Low-frequency stability analysis of single-phase system with dq-frame impedance approach: part Ⅰ: impedance modeling and verification[J]. IEEE transactions on industry applications, 2018, 54(5): 4999-5011.
[12] 周毅, 胡海涛, 雷科, 等. 电气化铁路低频等幅振荡机理分析[J]. 中国电机工程学报, 2021, 41(9): 3024-3034.
ZHOU Y, HU H T, LEI K, et al.Mechanism analysis of the sustained low-frequency oscillation in the electric railway system[J]. Proceedings of the CSEE, 2021, 41(9): 3024-3034.
[13] 周毅. 电气化铁路车-网系统低频振荡机理与抑制方法研究[D]. 成都: 西南交通大学, 2021.
ZHOU Y.Research on mechanism and suppression of the low frequency oscillation in train-network system of electric railways[D]. Chengdu: Southwest Jiaotong University, 2021.
[14] 李志远, 胡鑫煊, 吴思奇, 等. 基于自抗扰STATCOM装置的车网耦合系统低频振荡抑制策略[J]. 电网技术, 2020, 44(4): 1515-1523.
LI Z Y, HU X X, WU S Q, et al.A strategy of low frequency oscillation suppression for vehicle-grid coupling system based on STATCOM with ADRC[J]. Power system technology, 2020, 44(4): 1515-1523.
[15] 高锋阳, 宋志翔, 高建宁, 等. 基于SMES装置的车网系统低频振荡抑制策略[J]. 北京交通大学学报, 2023, 47(1): 134-139.
GAO F Y, SONG Z X, GAO J N, et al.Low-frequency oscillation suppression strategy for train-grid system based on SMES device[J]. Journal of Beijing Jiaotong University, 2023, 47(1): 134-139.
[16] 姚书龙, 刘志刚, 张桂南, 等. 基于自抗扰控制的牵引网网压低频振荡抑制方法[J]. 电网技术, 2016, 40(1): 207-212.
YAO S L, LIU Z G, ZHANG G N, et al.A novel approach based on ADRC to traction network voltage low frequency oscillation suppression research[J]. Power system technology, 2016, 40(1): 207-212.
[17] 王英, 陈思彤, 王迎晨, 等. 基于IADRC的多CRH5 型车网耦合系统低频振荡抑制方法[J]. 电力系统保护与控制, 2019, 47(11):1-7.
WANG Y, CHEN S T, WANG Y C, et al.A suppressing method of low-frequency oscillation of railway traction network and multi-CRH5 EMUs coupling system based on IADRC[J]. Power system protection and control, 2019, 47(11):1-7.
[18] 李蔚, 冉治, 孙博, 等. CRH5 动车组牵引脉冲整流器自适应优化控制方法研究[J]. 铁道科学与工程学报, 2024, 21(2): 476-485.
LI W, RAN Z, SUN B, et al.Study on adaptive optimal control of CRH5 EMU traction PWM rectifier[J]. Journal of railway science and engineering, 2024, 21(2): 476-485.
[19] LIU Z G, XIANG C, WANG Y Q, et al.A model-based predictive direct power control for traction line-side converter in high-speed railway[J]. IEEE transactions on industry applications, 2017, 53(5): 4934-4943.
[20] LIU Z G, YAN Q X, TASIU I A, et al.A model predictive control considering parameters and system uncertainties for suppressing low-frequency oscillations of traction dual rectifiers[J]. IEEE transactions on transportation electrification, 2021, 7(3): 1031-1046.
[21] 王浩宇, 张雨婷, 张乔, 等. 一种基于滑模观测器的动车组整流器控制策略研究[J]. 电力系统保护与控制, 2022, 50(22): 81-90.
WANG H Y, ZHANG Y T, ZHANG Q, et al.A control strategy for EMUs rectifier based on sliding mode observer[J]. Power system protection and control, 2022, 50(22): 81-90.
[22] 王颖杰, 邢涛, 焦岚轶, 等. 基于模糊PI控制的牵引网低频振荡抑制方法[J]. 铁道学报, 2021, 43(3): 62-69.
WANG Y J, XING T, JIAO L Y, et al.Low-frequency oscillation suppression method for traction network based on fuzzy PI control[J] Journal of the China Railway Society, 2021, 43(3): 62-69.
[23] GENG Z Z, LIU Z G, HU X X, et al.Low-frequency oscillation suppression of the vehicle-grid system in high-speed railways based on H∞ control[J]. Energies, 2018, 11(6): 1594.
[24] ZHOU Y, HU H T, YANG X W, et al.Impacts of quadrature signal generation-based PLLs on low-frequency oscillation in an electric railway system[J]. IEEE transactions on transportation electrification, 2021, 7(4): 3124-3136.
[25] CHENG S K, MA L, GE X L, et al.Low-frequency oscillation analysis in train-traction power supply system using an SISO voltage loop model[J]. IEEE transactions on transportation electrification, 2022, 8(1): 636-648.
[26] ZHOU Y, ZANG T L, ZHOU B X, et al.Impacts of dynamic frequency feedback loop in SOGI-PLL on low-frequency oscillation in an electric railway system[J]. IEEE transactions on transportation electrification, 2023, 9(3): 4080-4093.
[27] 张炜璐, 吴思奇, 刘志刚. 二阶广义积分器对车网系统低频振荡的影响分析与抑制研究[J]. 电网技术, 2025, 49(2): 699-708.
ZHANG W L, WU S Q, LIU Z G.Low-frequency stability analysis and suppression of vehicle-grid system considering the impact of SOGI[J]. Power system technology, 2025, 49(2): 699-708.