多能互补接入下贯通式柔性铁路牵引供电系统运行状态感知技术综述

葛磊蛟; 林可愿; 任丽苗; 赵珊鹏; 程宏波; 陈晓婧

doi:10.14044/j.1674-1757.pcrpc.2025.05.001

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多能互补接入下贯通式柔性铁路牵引供电系统运行状态感知技术综述

牵引供电系统与新型配电系统优化控制技术 | 更新时间：2025-10-30

- 多能互补接入下贯通式柔性铁路牵引供电系统运行状态感知技术综述
- Review of Operational State Perception Technologies for Through-type Flexible Railway Traction Power Supply Systme with Multi-energy Complementary Integration
- 电力电容器与无功补偿 2025年46卷第5期页码：1-15
- 作者机构：
- 作者简介：
  
  葛磊蛟（1984—），男，副教授，研究方向为智能配电网态
  林可愿（2002—），男，硕士研究生，研究方向为贯通式柔性牵引供电系统运行状态感知。E-mail：linkeyuan328@126.com。
  任丽苗（1982—），女，讲师，研究方向为贯通式柔性牵引供电系统运行状态感知。E-mail：renlimiao@mail.lzjtu.cn。
  赵珊鹏（1983—），男，副教授，研究方向为牵引供电理论与新技术、电能质量预测、评估与控制技术。E-mail：zsp@mail.lzjtu.cn。
  程宏波（1979—），男，教授，研究方向为输变电设备的健康管理及电网的智能控制等。E-mail：hbcheng@ecjtu.edu.cn。
  陈晓婧（1988—），女，讲师，研究方向为贯通式柔性牵引供电系统运行状态感知。E-mail：chenxiaojing@mail.lzjtu.cn。
- 基金信息：
  
  国家自然科学基金(52277118);天津市自然科学基金多元投入重点项目(22JCZDJC00660);兰州交通大学—西南交通大学联合创新基金项目(LH2024027)
- DOI：10.14044/j.1674-1757.pcrpc.2025.05.001
  中图分类号：
- 收稿：2024-10-12，
  
  纸质出版：2025-10-25
- 稿件说明：
移动端阅览
葛磊蛟, 林可愿, 任丽苗, 等. 多能互补接入下贯通式柔性铁路牵引供电系统运行状态感知技术综述[J]. 电力电容器与无功补偿, 2025,46(5):1-15.

GE Leijiao, LIN Keyuan, REN Limiao, et al. Review of Operational State Perception Technologies for Through-type Flexible Railway Traction Power Supply Systme with Multi-energy Complementary Integration[J]. Power Capacitor & Reactive Power Compensation, 2025, 46(5): 1-15.
葛磊蛟, 林可愿, 任丽苗, 等. 多能互补接入下贯通式柔性铁路牵引供电系统运行状态感知技术综述[J]. 电力电容器与无功补偿, 2025,46(5):1-15. DOI： 10.14044/j.1674-1757.pcrpc.2025.05.001.

GE Leijiao, LIN Keyuan, REN Limiao, et al. Review of Operational State Perception Technologies for Through-type Flexible Railway Traction Power Supply Systme with Multi-energy Complementary Integration[J]. Power Capacitor & Reactive Power Compensation, 2025, 46(5): 1-15. DOI： 10.14044/j.1674-1757.pcrpc.2025.05.001.

摘要

贯通式柔性牵引供电系统是保障绿色轨道交通高速可靠运行的关键，也是提升铁路运行效率的核心技术。多能互补接入下贯通式柔性牵引供电系统面临源网荷储随机性强、运行工况复杂化、运行态势多样化等挑战，高精准的运行状态感知技术是重点。为此，本文聚焦于实现铁路运输可持续发展与绿色低碳运营，系统梳理了多能互补接入下贯通式柔性牵引供电系统运行状态感知技术。面向精准感知的需求，设计了牵引负荷与新能源强随机的运行状态感知架构，阐述了数据获取、特征提取、感知融合、态势预测等运行状态感知4个方面关键技术。最后，从实现数据驱动和智能化的角度出发，总结了该技术面临的挑战与发展趋势，为该领域的进一步研究与工程实践提供了重要参考与指导。

Abstract

The through-type flexible traction power supply system is not only the key to ensuring the highspeed and reliable operation of green rail transit，but also the core technology for enchancing the operational efficiency of railway. Under the multi-energy complementary integration，the through-type flexible traction power supply system faces such challenges as strong randomness of source-grid-load storage，complicated operation conditions and diversified operating situations. High - precision operating state perception technology is the key point. Accordingly，this paper focuses on achieving sustainable development and green， low-carbon operation in railway transportation，and systematically reviews the operation state perception technology of through-type flexible traction power supply systems with multi-energy complementary access. Aiming at the demand of accurate perception，a operation state perception architecture for traction load and new energy strong randomness is designed，and key technologies from such four aspects of operation state perception as data acquisition，feature extraction，perception fusion and situation prediction are expounded. Finally，from the perspective of achieving data-driven and intelligence，the challenges and development trends of this technology are summarized，which provide important reference and guidance for further research and engineering practice in this field.

关键词

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references

张刚毅 , 李群湛 . 电气化铁道异相供电方式向同相供电方式的转换 [J ] . 电力自动化设备 , 2012 , 32 ( 11 ): 142 - 145 .

ZHANG Gangyi , LI Qunzhan . Conversion from out-of-phase power supply mode to non-in-phase power supply mode of electrified railway [J ] . Electric Power Automation Equipment , 2012 , 32 ( 11 ): 142 - 145 .

何晓琼 , 韩鹏程 , 王怡 , 等 . 基于级联-并联变换器的贯通式牵引变电所系统研究 [J ] . 铁道学报 , 2017 , 39 ( 8 ): 52 - 61 .

HE Xiaoqiong , HAN Pengcheng , WANG Yi , et al . Research on through-type traction substation system based on cascadeparallel converter [J ] . Journal of the China Railway Society , 2017 , 39 ( 8 ): 52 - 61 .

BADE S K , KULKARNI V A . Analysis of railway tractionpower system using renewable energy:a review [C ] // International Conference on Computation of Power , Energy,India , ICCPEIC , 2018 : 11 - 14 .

陈维荣 , 王璇 , 李奇 , 等 . 光伏电站接入轨道交通牵引供电系统发展现状综述 [J ] . 电网技术 , 2019 , 43 ( 10 ): 3663 - 3670 .

CHEN Weirong , WANG Xuan , LI Qi , et al . A review of the development status of photovoltaic power station connected to rail transit traction power supply system [J ] . Power System Technology , 2019 , 43 ( 10 ): 3663 - 3670 .

周萌 , 于龙 , 王子龙 . “双碳”目标下电气化铁路源网车储关键技术研究 [J ] . 电力电子技术 , 2024 , 58 ( 7 ): 80 - 85 .

ZHOU Meng , YU Long , WANG Zilong . Research on key technologies of electrified railway source network vehicle storage under the double Carbon goal [J ] . Power Electronics , 2024 , 58 ( 7 ): 80 - 85 .

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 - 1201 .

WANG Ying , XIN Yueyang , XIE Ziyun , et al . Researchonlowfrequency stability under emergency power supply scheme of optical storage access traction power supply system [J ] . Journal of Railway Science and Engineering , 2024 , 21 ( 3 ): 1189 - 1201 .

张建兴 , 刘顺新 , 陈天锦 , 等 . 电气化铁路同相供电装置应用研究 [J ] . 电力电子技术 , 2013 , 47 ( 2 ): 21 - 23 .

ZHANG Jianxing , LIU Shunxin , CHEN Tianjin , et al . Research on the application of non-inverting power supply device for electrified railway [J ] . Power Electronics , 2013 , 47 ( 2 ): 21 - 23 .

李红波 , 丁荣军 , 张超 , 等 . 城市轨道交通智慧牵引供电系统 [J ] . 机车电传动 , 2021 , 62 ( 3 ): 1 - 8 .

LI Hongbo , DING Rongjun , ZHANG Chao , et al . Intelligent traction power supply system for urban rail transit [J ] . Electric Locomotive Drive , 2021 , 62 ( 3 ): 1 - 8 .

王保国 . 智能牵引供电系统工程实践与发展思考 [J ] . 铁道学报 , 2024 , 46 ( 6 ): 1 - 10 .

WANG Baoguo . Thinking on the engineering practice and development of intelligent traction power supply system [J ] . Journal of the China Railway Society , 2024 , 46 ( 6 ): 1 - 10 .

张冬冬 , 李保宗 , 于培培 , 等 . 基于物联网技术的同相供电控保装置远程控制研究 [J ] . 电气化铁道 , 2024 , 35 ( 2 ): 20 - 23 .

ZHANG Dongdong , LI Baozong , YU Peipei , et al . Research on remote control of non-inverting power supply control and protection device based on internet of things technology [J ] . Electrified Railway , 2024 , 35 ( 2 ): 20 - 23 .

于士伟 . 基于数据融合的高速电气化铁路牵引供电安全智能监测方法 [J ] . 机械设计与制造工程 , 2023 , 52 ( 11 ): 81 - 85 .

YU Shiwei . Intelligent monitoring method for traction power supply safety of high-speed electrified railway based on data fusion [J ] . Mechanical Design and Manufacturing Engineering , 2023 , 52 ( 11 ): 81 - 85 .

姜海燕 . 基于BP神经网络的牵引供电系统的故障预测研究 [J ] . 工业控制计算机 , 2022 , 35 ( 6 ): 82 - 84 .

JIANG Haiyan . Research on fault prediction of traction power supply system based on BP neural network [J ] . Industrial Control Computer , 2022 , 35 ( 6 ): 82 - 84 .

GE L , LI Y , LI Y , et al . Smart distribution network situation awareness for high-quality operation and maintenance:a brief review [J ] . Energies , 2022 , 15 ( 3 ): 828 .

葛磊蛟 , 崔庆雪 , 李明玮 , 等 . 面向低碳经济运行的新型电力系统态势感知技术综述 [J ] . 综合智慧能源 , 2023 , 45 ( 1 ): 1 - 13 .

GE Leijiao , CUI Qingxue , LI Mingwei , et al . Survey of situational awareness technology of new power system for lowcarbon economic operation [J ] . Integrated Smart Energy , 2023 , 45 ( 1 ): 1 - 13 .

孙亮 , 吕伟 , 彭旭 , 等 . 牵引供电技术研究现状及关键性技术 [J ] . 高速铁路技术 , 2024 , 15 ( 2 ): 65 - 70 .

SUN Liang , LYU Wei , PENG Xu , et al . Research status and key technologies of traction power supply technology [J ] . High Speed Railway Technology , 2024 , 15 ( 2 ): 65 - 70 .

王潘潘 , 刘磊 , 杨凯 , 等 . 牵引变电设备状态感知与分析系统方案研究 [J ] . 电气化铁道 , 2023 , 34 ( 2 ): 1 - 3 .

WANG Panpan , LIU Lei , YANG Kai , et al . Research on condition perception and analysis system scheme of traction substation equipment [J ] . Electrified Railways , 2023 , 34 ( 2 ): 1 - 3 .

赵莎莎 , 袁葆 , 安亚刚 , 等 . 智能电网需求侧用户参与度研究模型 [J ] . 电网与清洁能源 , 2024 , 40 ( 3 ): 60 - 66 .

ZHAO Shasha , YUAN Bao , AN Yagang , et al . A study on the research model of user participation on the demand side of the smart grid [J ] . Power System and Clean Energy , 2024 , 40 ( 3 ): 60 - 66 .

张平 , 赵兴东 . 我国高速铁路牵引供电综合自动化系统分析 [J ] . 铁路技术创新 , 2011 , 10 ( 1 ): 31 - 34 .

ZHANG Ping , ZHAO Xingdong . Analysis of integrated automation system for traction power supply of high-speed railway in China [J ] . Railway Technology Innovation , 2011 , 10 ( 1 ): 31 - 34 .

张克永 . 高速铁路供电安全检测监测体系建设分析与研究 [J ] . 电气化铁道 , 2019 , 30 ( 6 ): 1 - 4 .

ZHANG Keyong . Analysis and research on the construction of high-speed railway power supply safety detection and monitoring system [J ] . Electrified Railway , 2019 , 30 ( 6 ): 1 - 4 .

张平 . 我国高速铁路牵引供电SCADA系统的分析与探讨 [J ] . 铁道建筑技术 , 2010 , 48 ( 4 ): 72 - 74 .

ZHANG ping . Analysis and discussion of SCADA system for traction power supply of high-speed railway in China [J ] . Railway Construction Technology , 2010 , 48 ( 4 ): 72 - 74 .

何逢广 , 李朝阳 , 张华赢 , 等 . 基于实测数据的牵引供电系统并联谐波谐振概率识别方法 [J ] . 电网技术 , 2024 , 48 ( 5 ): 2084 - 2094 .

HE Fengguang , LI Chaoyang , ZHANG Huaying , et al . Parallel harmonic resonance probability identification method for traction power supply system based on measured data [J ] . Power System Technology , 2024 , 48 ( 5 ): 2084 - 2094 .

张科鑫 , 窦晓波 , 李炜祺 , 等 . 基于量测数据补全的有源配电网电压优化技术 [J ] . 电力自动化设备 , 2023 , 43 ( 11 ): 67 - 74 .

ZHANG Kexin , DOU Xiaobo , LI Weiqi , et al . Voltage optimization technology of active distribution network based on measurement data completion [J ] . Electric Power Automation Equipment , 2023 , 43 ( 11 ): 67 - 74 .

杨嘉琛 . 新能源在网络化牵引供电系统中的调节应用研究 [J ] . 电气化铁道 , 2024 , 35 ( 3 ): 1 - 8 .

YANG Jiachen . Research on the regulation and application of new energy in networked traction power supply system [J ] . Electrified Railway , 2024 , 35 ( 3 ): 1 - 8 .

朱佼佼 , 陈特放 , 付强 . 车载牵引变压器智能故障诊断技术新研究 [J ] . 计算机工程与应用 , 2012 , 48 ( 23 ): 27 - 31 .

ZHU Jiaojiao , CHEN Tefang , FU Qiang . New research on intelligent fault diagnosis technology for vehicle-mounted traction transformer [J ] . Computer Engineering and Applications , 2012 , 48 ( 23 ): 27 - 31 .

余涛 , 梁敏航 , 罗庆全 , 等 . 新型电力系统专用传感与边缘智能关键技术及其展望 [J ] . 高电压技术 , 2024 , 50 ( 8 ): 3324 - 3338 .

YU Tao , LIANG Minhang , LUO Qingquan , et al . Key technologies of special sensing and edge intelligence for new power systems and their prospects [J ] . High Voltage Engineering , 2024 , 50 ( 8 ): 3324 - 3338 .

唐文虎 , 牛哲文 , 赵柏宁 , 等 . 数据驱动的人工智能技术在电力设备状态分析中的研究与应用 [J ] . 高电压技术 , 2020 , 46 ( 9 ): 2985 - 2999 .

TANG Wenhu , NIU Zhewen , ZHAO Boning , et al . Research and application of data-driven artificial intelligence technology in state analysis of power equipment [J ] . High Voltage Engineering , 2020 , 46 ( 9 ): 2985 - 2999 .

赵双石 , 尹建斌 , 闫兆辉 , 等 . 基于人工神经网络的AT单线供电系统故障测距研究 [J ] . 电气化铁道 , 2023 , 34 ( 3 ): 6 - 11 .

ZHAO Shuangshi , YIN Jianbin , YAN Zhaohui , et al . Research on fault ranging of AT single-line power supply system based on artificial neural network [J ] . Electrified Railways , 2023 , 34 ( 3 ): 6 - 11 .

高仕斌 , 胡晋豪 , 韩正庆 , 等 . 牵引供电数字孪生系统框架设计及典型应用 [J ] . 中国铁路 , 2024 , 63 ( 7 ): 114 - 125 .

GAO Shibin , HU Jinhao , HAN Zhengqing , et al . Framework design and typical application of digital twin system for traction power supply [J ] . China Railway , 2024 ,( 7 ): 114 - 125 .

王玘 , 何正友 , 林圣 , 等 . 高铁牵引供电系统PHM与主动维护研究 [J ] . 西南交通大学学报 , 2015 , 50 ( 5 ): 942 - 952 .

WANG Xi , HE Zhengyou , LIN Sheng , et al . Research on PHM and active maintenance of high-speed railway traction power supply system [J ] . Journal of Southwest Jiaotong University , 2015 , 50 ( 5 ): 942 - 952 .

车玉龙 , 吕晓琴 , 王晓茹 . 考虑相关性的牵引负荷功率对电网影响概率分析 [J ] . 中国电机工程学报 , 2022 , 42 ( 9 ): 3250 - 3261 .

CHE Yulong , LYU Xiaoqin , WANG Xiaoru . Probability analysis of the Impact of traction load power on power grid considering correlation [J ] . Proceedings of the CSEE , 2022 , 42 ( 9 ): 3250 - 3261 .

车玉龙 . 考虑不确定性的电气化铁路牵引负荷建模方法及其应用研究 [D ] . 西南交通大学 , 2022 .

CHE Yulong . Modeling method of electrified railway traction load considering uncertainty and its application [D ] . Southwest Jiaotong University , 2022 .

周盛 , 余丹萍 , 江全元 . CRH3动车组牵引传动系统的负荷建模 [J ] . 机电工程 , 2011 , 28 ( 1 ): 6 .

ZHOU Sheng , YU Danping , JIANG Quanyuan . Load modeling of CRH3 EMU traction drive system [J ] . Electromechanical Engineering , 2011 , 28 ( 1 ): 6 .

李宏强 , 王晓茹 , 徐家俊 . 车网耦合的牵引供电系统谐波仿真分析 [J ] . 电力系统保护与控制 , 2014 , 42 ( 20 ): 116 - 122 .

LI Hongqiang , WANG Xiaoru , XU Jiajun . Harmonic simulation analysis of vehicle-grid coupled traction power sup ply system [J ] . power system protection and control , 2014 , 42 ( 20 ): 116 - 122 .

衷路生 , 李兵 , 龚锦红 , 等 . 高速列车非线性模型的极大似然辨识 [J ] . 自动化学报 , 2014 , 40 ( 12 ): 2950 - 2994 .

ZHEN Lusheng , LI Bing , GONG Jinhong , et al . Maximum likelihood identification for nonlinear models of high-speed trains [J ] . Acta Automatica Sinica , 2014 , 40 ( 12 ): 2950 - 2994 .

龙寰 , 杨婷 , 徐劭辉 , 等 . 基于数据驱动的风电机组状态监测与故障诊断技术综述 [J ] . 电力系统自动化 , 2023 , 47 ( 23 ): 55 - 69 .

LONG Huan , YANG Ting , XU Shaohui , et al . Survey of datadriven condition monitoring and fault diagnosis technology for wind turbines [J ] . Automation of Electric Power Systems , 2023 , 47 ( 23 ): 55 - 69 .

刘小峰 , 史长振 , 晏锐 , 等 . 基于SCADA参量关联互信息自编码的风电机组故障检测方法 [J ] . 控制与决策 , 2023 , 38 ( 10 ): 2953 - 2961 .

LIU Xiaofeng , SHI Changzhen , YAN Rui , et al . Wind turbine fault detection method based on SCADA parametric correlation mutual information autocoding [J ] . Control and Decision , 2023 , 38 ( 10 ): 2953 - 2961 .

符杨 , 周全 , 贾锋 , 等 . 基于SCADA数据图形化的海上风电机组故障预测 [J ] . 中国电机工程学报 , 2022 , 42 ( 20 ): 7465 - 7475 .

FU Yang , ZHOU Quan , JIA Feng , et al . Fault prediction of offshore wind turbines based on SCADA data graphization [J ] . Proceedings of the CSEE , 2022 , 42 ( 20 ): 7465 - 7475 .

梅冰笑 , 周金辉 , 孙翔 . 基于知识图谱与细胞自动机模型的配电网信息系统风险分析 [J ] . 中国电力 , 2022 , 55 ( 10 ): 23 - 31 .

MEI Bingxiao , ZHOU Jinhui , SUN Xiang . Risk analysis of distribution network information system based on knowledge graph and cellular automata model [J ] . Electric Power , 2022 , 55 ( 10 ): 23 - 31 .

崔恺 , 许宜菲 , 李雪松 , 等 . 基于广义回归神经网络的风电机组性能预测模型及状态预警 [J ] . 科学技术与工程 , 2020 , 20 ( 32 ): 13220 - 13228 .

CUI Kai , XU Yifei , LI Xuesong , et al . Wind turbine performance prediction model and status warning based on generalized regression neural network [J ] . Science Technology and Engineering , 2020 , 20 ( 32 ): 13220 - 13228 .

曾天生 , 刘航 , 陈汉斯 , 等 . 基于多特征信息融合的风电机组整机性能评估 [J ] . 计算机集成制造系统 , 2022 , 28 ( 4 ): 1052 - 1061 .

ZENG Tiansheng , LIU Hang , CHEN Hansi , et al . Performance evaluation of wind turbine based on multi-feature information fusion [J ] . Computer Integrated Manufacturing Systems , 2022 , 28 ( 4 ): 1052 - 1061 .

叶林 , 葛鸥翔 , 郭永红 , 等 . 基于堆叠自动编码器的汽轮发电机多指标故障诊断模型 [J ] . 中国电机工程学报 , 2022 , 42 ( 10 ): 3656 - 3670 .

YE Lin , GE Ouxiang , GUO Yonghong , et al . Multi-index fault diagnosis model of steam turbine generator based on stacked autoencoder [J ] . Proceedings of the CSEE , 2022 , 42 ( 10 ): 3656 - 3670 .

邱炜 , 林岑 , 郭超 , 等 . 基于SCADA系统的CVT缺陷排查与分析 [J ] . 电力电容器与无功补偿 , 2023 , 44 ( 6 ): 86 - 92 .

QIU Wei , LIN Cen , GUO Chao , et al . Troubleshooting and analysis of CVT defects based on SCADA system [J ] . Power Capacitors & Reactive Power Compensation , 2023 , 44 ( 6 ): 86 - 92 .

ZHAO X Y , DONG C Y , ZHOU P , et al . Detecting surface defects of wind tubine blades using an Alexnet deep learning algorithm [J ] . IEICE Transactions on Fundamentals of Electronics,Communications and Computer Sciences , 2019 , E102-A ( 12 ): 1817 - 1824 .

YOO Y , BAEK J G . Anovel image feature for the remaining useful lifetime prediction of bearings based on continuous wavelet transform and convolutional neural network .[J ] . Applied Sciences , 2018 , 8 ( 7 ): 1102 .

夏炎 . 铁路智能牵引供电系统技术研究与发展展望 [J ] . 电气化铁道 , 2020 , 31 ( 4 ): 1 - 5+14 .

XIA Yan . Research and development prospect of railway intelligent traction power supply system technology [J ] . Electrified Railway , 2020 , 31 ( 4 ): 1 - 5+14 .

孙嵘 , 魏宏伟 , 董丽 , 等 . 牵引供电广域保护专线传输通道的时延分析 [J ] . 电气化铁道 , 2022 , 33 ( S1 ): 5 - 10 .

SUN Rong , WEI Hongwei , DONG Li , et al . Delay analysis of traction power supply wide-area protection dedicated line transmission channel [J ] . Electrified Railways , 2022 , 33 ( S1 ): 5 - 10 .

马燕峰 , 景雪 , 赵书强 , 等 . 光伏接入系统的小干扰稳定灵敏度分析及其应用 [J ] . 电力自动化设备 , 2021 , 41 ( 8 ): 70 - 75 .

MA Yanfeng , JING Xue , ZHAO Shuqiang , et al . Sensitivity analysis of small interference stability in photovoltaic access system and its application [J ] . Electric Power Automation Equipment , 2021 , 41 ( 8 ): 70 - 75 .

成珂 , 孙琦琦 , 马晓瑶 . 基于主成分回归分析的气象因子对光伏发电量的影响 [J ] . 太阳能学报 , 2021 , 42 ( 2 ): 403 - 409 .

CHENG Ke , SUN Qiqi , MA Xiaoyao . Influence of meteorological factors on photovoltaic power generation based on principal component regression analysis [J ] . Journal of Solar Energy , 2021 , 42 ( 2 ): 403 - 409 .

王振浩 , 王翀 , 成龙 , 等 . 基于集合经验模态分解和深度学习的光伏功率组合预测 [J ] . 高电压技术 , 2022 , 48 ( 10 ): 4133 - 4142 .

WANG Zhenhao , WANG Chong , CHENG Chan , et al . Photovoltaic power combination prediction based on ensemble empirical mode decomposition and deep learning [J ] . High Voltage Engineering , 2022 , 48 ( 10 ): 4133 - 4142 .

王毅 , 陈启鑫 , 张宁 , 等 . 5G通信与泛在电力物联网的融合:应用分析与研究展望 [J ] . 电网技术 , 2019 , 43 ( 5 ): 1575 - 1585 .

WANG Yi , CHEN Qixin , ZHANG Ning , et al . Convergence of 5G communication and ubiquitous power internet of things:application analysis and research prospects [J ] . Power System Technology , 2019 , 43 ( 5 ): 1575 - 1585 .

张晓华 , 刘道伟 , 李柏青 , 等 . 智能全景系统概念及其在现代电网中的应用体系 [J ] . 中国电机工程学报 , 2019 , 39 ( 10 ): 2885 - 2895 .

ZHANG Xiaohua , LIU Daowei , LI Baiqing , et al . Concept of intelligent panorama system and its application system in modern power grid [J ] . Proceedings of the CSEE , 2019 , 39 ( 10 ): 2885 - 2895 .

周峰 , 周晖 , 刁赢龙 . 泛在电力物联网智能感知关键技术发展思路 [J ] . 中国电机工程学报 , 2020 , 40 ( 1 ): 70 - 82 .

ZHOU Feng , ZHOU Hui , DIAO Yinglong . Development ideas of key technologies for intelligent perception of ubiquitous power internet of things [J ] . Proceedings of the CSEE , 2020 , 40 ( 1 ): 70 - 82 .

刘清源 , 刘瑞佳 , 王健 , 等 . 基于边缘计算的泛在电力物联网群组密钥管理算法研究 [J ] . 电测与仪表 , 2022 , 59 ( 7 ): 48 - 56 .

LIU Qingyuan , LIU Ruijia , WANG Jian , et al . Research on group key management algorithm of ubiquitous power internet of things based on edge computing [J ] . Electrical Measurement and Instrumentation , 2022 , 59 ( 7 ): 48 - 56 .

LUDWIKOWSKI K , SIODLA K , ZIOMEK W . Investigation of transformer model winding deformation using sweep frequency response analysis [J ] . IEEE Transactions on Dielectrics and Electrical Insulation , 2012 , 19 ( 6 ): 1957 - 1961 .

周利军 , 林桐 , 江飞明 , 等 . 频响多级分解与图像特征在自耦变压器绕组故障的应用研究 [J ] . 高电压技术 , 2021 , 47 ( 10 ): 3617 - 3627 .

ZHOU Lijun , LIN Tong , JIANG Feiming , et al . Research on the application of frequency response multi-level decomposition and image features in winding faults of autotransformer [J ] . High Voltage Engineering , 2021 , 47 ( 10 ): 3617 - 3627 .

朱明林 , 朱子述 . 正交多项式辨识变压器传递函数及其在绕组变形诊断中的应用 [J ] . 上海交通大学学报 , 2001 , 46 ( 8 ): 1233 - 1237 .

ZHU Minglin , ZHU Zishu . Orthogonal polynomial identification of transformer transfer function and its application in winding deformation diagnosis [J ] . Journal of Shanghai Jiao Tong University , 2001 , 46 ( 8 ): 1233 - 1237 .

郭蕾 , 蔡育宏 , 张俊 , 等 . 基于随机暂态信号捕获分析的牵引变压器绕组状态在线感知技术研究 [J ] . 铁道技术标准 , 2023 , 5 ( 8 ): 23 - 29 .

GUO Lei , CAI Yuhong , ZHANG Jun , et al . Research on online sensing technology of winding state of traction transformer based on stochastic transient signal capture analysis [J ] . Railway Technical Standards , 2023 , 5 ( 8 ): 23 - 29 .

聂庆科 , 孙广 , 郝永攀 , 等 . 多源异构监测数据融合方法及应用 [J ] . 科学技术与工程 , 2022 , 22 ( 13 ): 5348 - 5357 .

NIE Qingke , SUN Guang , HAO Yongpan , et al . multi-source heterogeneous monitoring data fusion method and application [J ] . Science Technology and Engineering , 2022 , 22 ( 13 ): 5348 - 5357 .

房逸涵 , 窦水海 , 杜艳平 . 基于物联网的数据融合研究综述 [J ] . 北京印刷学院学报 , 2024 , 32 ( 8 ): 42 - 49 .

FANG Yihan , DOU Shuihai , DU Yanping . Survey of data fusion based on internet of things [J ] . Journal of Beijing Institute of Graphic Communication , 2024 , 32 ( 8 ): 42 - 49 .

闫兆辉 , 沈菊 , 苏醒 , 等 . 智能牵引变电供电运维管理系统研究与应用 [J ] . 电气化铁道 , 2024 , 35 ( 2 ): 79 - 83 .

YAN Zhaohui , SHEN Ju , SU Xing , et al . Research and application of operation and maintenance management system for intelligent traction substation power supply [J ] . Electrified Railway , 2024 , 35 ( 2 ): 79 - 83 .

杨斯泐 , 王永亭 , 郭晨曦 , 等 . 智能牵引供电广域保护测控系统层次化保护试验研究 [J ] . 电气化铁道 , 2021 , 32 ( 6 ): 36 - 43 .

YANG Sixi , WANG Yongting , GUO Chenxi , et al . Experimental study on hierarchical protection of wide-area protection measurement and control system for intelligent traction power supply [J ] . Electrified Railways , 2021 , 32 ( 6 ): 36 - 43 .

崔翛龙 , 高志强 , 姬纬通 , 等 . “艾武大模型+”:一种军事大模型系统的开发与实证 [J ] . 数据采集与处理 , 2024 , 39 ( 3 ): 588 - 597 .

CUI Zhenglong , GAO Zhiqiang , JI Weitong , et al . “Aiwu Large Model+”:development and empirical evidence of a military large model system [J ] . Data Acquisition and Processing , 2024 , 39 ( 3 ): 588 - 597 .

朱向雷 , 王海弛 , 尤翰墨 , 等 . 自动驾驶智能系统测试研究综述 [J ] . 软件学报 , 2021 , 32 ( 7 ): 2056 - 2077 .

ZHU Xianglei , WANG Haichi , YOU Hanmo , et al . A review of the test research of autonomous driving intelligent system [J ] . Journal of Software , 2021 , 32 ( 7 ): 2056 - 2077 .

葛磊蛟 , 李元良 , 陈艳波 , 等 . 智能配电网态势感知关键技术及实施效果评价 [J ] . 高电压技术 , 2021 , 47 ( 7 ): 2269 - 2280 .

GE Leijiao , LI Yuanliang , CHEN Yanbo , et al . Key technol ogies of situational awareness of smart distribution network and evaluation of implementation effect [J ] . High Voltage Engineering , 2021 , 47 ( 7 ): 2269 - 2280 .

刘悦 , 黄新波 , 刘天娇 . 基于深度学习的架空输电线路绝缘子缺陷检测方法研究综述 [J ] . 电力电容器与无功补偿 , 2024 , 45 ( 3 ): 167 - 177 .

LIU Yue , HUANG Xinbo , LIU Tianjiao . A review of insulator defect detection methods for overhead transmission lines based on deep learning [J ] . Power Capacitors & Reactive Power Compensation , 2024 , 45 ( 3 ): 167 - 177 .

李进宁 , 王顺鹏 , 周鲁宁 , 等 . 基于剩余寿命可靠度的地铁供电设备预防性维修研究 [J ] . 铁道标准设计 , 2017 , 61 ( 10 ): 145 - 151 .

LI Jinning , WANG Shunpeng , ZHOU Luning , et al . Research on preventive maintenance of metro power supply equipment based on residual life reliability [J ] . Railway Standard Design , 2017 , 61 ( 10 ): 145 - 151 .

何正友 , 冯玎 , 林圣 , 等 . 高速铁路牵引供电系统安全风险评估研究综述 [J ] . 西南交通大学学报 , 2016 , 51 ( 3 ): 418 - 429 .

HE Zhengyou , FENG Ling , LIN Sheng , et al . A review of safety risk assessment of traction power supply system for high-speed railway [J ] . Journal of Southwest Jiaotong University , 2016 , 51 ( 3 ): 418 - 429 .

包伟涔 , 韦钢 , 刘佳 , 等 . 基于区间模型的多能互补系统优化运行 [J ] . 电力系统自动化 , 2019 , 43 ( 11 ): 8 - 16 .

BAO Weishuo , WEI Gang , LIU Jia , et al . Optimal operation of multi-energy complementary system based on interval model [J ] . Automation of Electric Power Systems , 2019 , 43 ( 11 ): 8 - 16 .

李振坤 , 钱晋 , 符杨 , 等 . 基于负荷聚合商优选分级的配电网多重阻塞管理 [J ] . 电力系统自动化 , 2021 , 45 ( 19 ): 109 - 116 .

LI Zhenkun , QIAN Jin , FU Yang , et al . Multiple congestion management in distribution network based on load aggregator optimization and hierarchy [J ] . Automation of Electric Power Systems , 2021 , 45 ( 19 ): 109 - 116 .

苏永新 , 聂伟棋 , 谭貌 . 考虑风电接入和气电转换的综合能源系统日前区间优化 [J ] . 电力系统自动化 , 2019 , 43 ( 17 ): 63 - 71 .

SU Yongxin , NIE Weiqi , TAN Maung . Interval optimization of integrated energy system considering wind power access and gas-power conversion [J ] . Automation of Electric Power Systems , 2019 , 43 ( 17 ): 63 - 71 .

刘福 , 廖启术 . 电气化铁路牵引负荷预测研究 [J ] . 机车电传动 , 2023 , 38 ( 2 ): 142 - 150 .

LIU Fu , LIAO Qishu . Research on traction load prediction of electrified railway [J ] . Electric Locomotive Transmission , 2023 , 38 ( 2 ): 142 - 150 .

何晓琼 , 彭旭 , 周瑛英 , 等 . 基于多质点动车组制动模型的动态牵引负荷 [J ] . 西南交通大学学报 , 2013 , 48 ( 5 ): 878 - 884 .

HE Xiaoqiong , PENG Xu , ZHOU Yingying , et al . Dynamic traction load based on braking model of multi-mass EMU [J ] . Journal of Southwest Jiaotong University , 2013 , 48 ( 5 ): 878 - 884 .

魏波 , 胡海涛 , 王科 , 等 . 基于实测数据和行车运行图的高铁牵引变电站负荷预测方法 [J ] . 电工技术学报 , 2020 , 35 ( 1 ): 179 - 188 .

WEI Bo , HU Haitao , WANG Ke , et al . Load prediction method of high-speed railway traction substation based on measured data and running diagram [J ] . Transactions of China Electrotechnical Society , 2020 , 35 ( 1 ): 179 - 188 .

庞策 , 黄树彩 , 刘锦昌 , 等 . 多传感器交叉提示技术在UCAV侦察任务中的应用研究 [J ] . 传感技术学报 , 2017 , 30 ( 6 ): 968 - 976 .

PANG Ce , HUANG Shucai , LIU Jinchang , et al . Research on the application of multi-sensor cross prompting technology in UCAV reconnaissance mission [J ] . Journal of Sensing Technology , 2017 , 30 ( 6 ): 968 - 976 .

俞清 , 金婕 , 李佳 , 等 . 面向ZigBee与TSN融合的确定性协议转换器架构 [J ] . 仪表技术与传感器 , 2022 , 59 ( 10 ): 57 - 63 .

YU Qing , JIN Jie , LI Jia , et al . Deterministic protocol converter architecture for ZigBee and TSN convergence [J ] . Journal of Instrument Technology and Sensors , 2022 , 59 ( 10 ): 57 - 63 .

李鹏 , 余涛 , 李立浧 , 等 . 电力人工智能的演变与展望——从专业智能走向通用智能 [J ] . 电力系统自动化 , 2024 , 48 ( 16 ): 1 - 17 .

LI Peng , YU Tao , LI Lixun , et al . The evolution and prospect of artificial intelligence for electric power:from professional intelligence to general intelligence [J ] . Automation of Electric Power Systems , 2024 , 48 ( 16 ): 1 - 17 .

HU Z , XIA K , FAN Z , et al . A novel switch open-circuit fault diagnostic method for three-phase inverter based on PSO-DBN [C ] // International Forum on Electrical Engineering and Automation , America , IEEE , 2022 : 802 - 806 .

孙永辉 , 孟雲帆 , 葛磊蛟 , 等 . 人工智能赋能微电网运行优化的应用及展望 [J ] . 高电压技术 , 2023 , 49 ( 6 ): 2239 - 2252 .

SUN Yonghui , MENG Yunfan , GE Leijiao , et al . Application and prospect of artificial intelligence-enabled microgrid operation optimization [J ] . High Voltage Engineering , 2023 , 49 ( 6 ): 2239 - 2252 .

席磊 , 刘治洪 , 李彦营 . 基于拉格朗日松弛强化学习算法的自动发电控制 [J ] . 中国电机工程学报 , 2023 , 43 ( 4 ): 1359 - 1369 .

Xi Lei , Liu Zhihong , Li Yanying . Automatic power generation control based on lagrangian relaxation reinforcement learning algorithm [J ] . Proceedings of the CSEE , 2023 , 43 ( 4 ): 1359 - 1369 .

葛磊蛟 , 范延赫 , 来金钢 , 等 . 面向低碳经济的人工智能赋能微电网优化运行技术 [J ] . 高电压技术 , 2023 , 49 ( 6 ): 2219 - 2238 .

GE Leijiao , FAN Yanhe , LAI Jingang , et al . Artificial intelligence enabling microgrid optimal operation technology for low-carbon economy [J ] . High Voltage Engineering , 2023 , 49 ( 6 ): 2219 - 2238 .

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