| 104 | 0 | 153 |
| 下载次数 | 被引频次 | 阅读次数 |
地铁系统作为城市电网中的关键高能耗负荷主体,其动态负荷特性对电力系统运行具有重要影响。本文针对地铁列车运行物理特性与电气特征的耦合关系,提出一种基于感应电动机等效模型的负荷建模方法。通过地铁列车运行的物理特征,结合地铁线路时空分布特征,并通过回归的方法将感应电动机负荷模型参数与地铁负荷用电时域特征进行对应,建立了考虑日周期运行模式和高峰时段密集发车的动态负荷模型。研究重点探讨了发车间隔调整、再生制动能量回馈等多因素耦合作用下的负荷特性演变规律,研究结果为城市电网负荷预测与优化调度提供了理论依据。
Abstract:As a key high-energy-consumption load entity in urban power grids, the metro system's dynamic load characteristics significantly impact power system operations. This paper proposes a load modeling method based on an induction motor equivalent model, addressing the coupling relationship between the physical operational characteristics and electrical features of metro trains. By integrating the physical characteristics of train operations with spatiotemporal distribution features of metro lines, and correlating induction motor load model parameters with temporal characteristics of metro power consumption through regression analysis, a dynamic load model that considers daily operational patterns and peak-hour dense train scheduling is established. The study focuses on investigating the evolution patterns of load characteristics under coupled factors including train departure interval adjustments and regenerative braking energy feedback. The research outcomes provide theoretical foundations for urban power grid load forecasting and optimal dispatch.
[1]廖永衡,冯晓云,张峻领,等.地铁供电系统直流侧矩路暂态过程分析[J].电力电子技术,2009,43(12):28-30.Liao Yongheng, Feng Xiaoyun, Zhang Junling, et al. Analysis of Close-up and Remote Short Circuit Transient of DC Supplied Railways[J]. Power Electronics, 2009, 43(12):28-30.
[2]刘洪德,吴扣林,祁琦,等.串联型地铁再生能量回馈系统控制策略研究[J].电力电子技术,2020,54(2):89-91.Liu Hongde, Wu Koulin, Qi Qi, et al. Study of Control Strategy of Series Subway Regenerative Energy Feedback System[J]. Power Electronics, 2020, 54(2):89-91.
[3]王伟,张峰,皇甫小燕,等.地铁车辆异步电机矢量控制系统的研究[J].电力电子技术,2009,43(12):16-18.Wang Wei, Zhang Feng, Huangfu Xiaoyan, et al. Research on the Asynchronous Motor Vector Control System of the Metro Vehicles[J]. Power Electronics, 2009, 43(12):16-18.
[4]黄科元,钟树人,张其松,等.最优能量分配策略在城市轨道交通中的应用[J].电力电子技术,2019,53(8):23-27.Huang Keyuan, Zhong Shuren, Zhang Qisong, et al. Application of Optimal Energy Allocation Strategy in Urban Rall Transit[J]. Power Electronics, 2019, 53(8):23-27.
[5]张财源.牵引变电所群贯通供电系统牵引负荷建模与供电能力分析[D].成都:西南交通大学,2023.Zhang Caiyuan. Traction Load Modeling and Power Supply Capacity Analysis of Integrated Power Supply System for Traction Substation Cluster[D]. Chengdu:Southwest Jiaotong University, 2023.
[6]徐斌,郑欣,赵文彬,等.基于超短时优化技术的轨交供电尖峰负荷平抑策略[J].电工电能新技术,2022,41(10):44-53.Xu Bin, Zheng Xin, Zhao Wenbin, et al. Peak Load Reduction Strategy of Rail Transit Power Supply Based on Ultra Short Time Optimization Technology[J]. Advanced Technology of Electrical Engineering and Energy, 2022,41(10):44-53.
[7]史丹,高东升,杨锐.基于地铁列车再生制动能量有效利用的牵引负荷建模方法及应用[J].机车电传动,2022(5):144-150.Shi Dan, Gao Dongsheng, Yang Rui. A Traction Load Modeling Method of Metro Trains Based on the Regenerative Braking Energy Effective Utilization and Its Application[J]. Electric Drive for Locomotives, 2022(5):144-150.
[8]李中强.基于模糊逻辑强跟踪的交互式多模型电力负荷建模研究[D].济南:山东大学,2021.Li Zhongqiang. Research on Interactive Multiple Model Power Load Modeling Based on Fuzzy-logic-enhanced Strong Tracking[D]. Jinan:Shandong University, 2021.
[9]庞传军,余建明,冯长有,等.基于LSTM自动编码器的电力负荷聚类建模及特性分析[J].电力系统自动化,2020,44(23):57-63.Pang Chuanjun, Yu Jianming, Feng Changyou, et al.Clustering Modeling and Characteristic Analysis of Power Load Based on Long-short-term Memory Auto-encoder[J].Automation of Electric Power Systems, 2020, 44(23):57-63.
[10]Zhang X, Li Y. Reliability Evaluation and Optimization of Networked Power Supply Structure for Urban Rail Transit[J]. IEEE Trans. on Power Systems, 2018, 33(5):5235-5245.
[11]Wang J, Liu Y. Impact of Network Structure on Shortcircuit Current Level in Urban Rail Transit Power Supply System[J]. IET Generation, Transmission&Distribution,2019, 13(15):3341-3350.
[12]Li Z, Chen Y. Active Distribution Network Power Flow Control Strategy Based on Distributed Generation[J].IEEE Trans. on Smart Grid, 2020, 11(1):678-689.
[13]Chen X, Wang H. Application of Energy Storage Devices in Networked Power Supply System for Urban Rail Transit[J]. Journal of Modern Power Systems and Clean Energy, 2021, 9(2):345-356.
[14]Liu S, Zhang W. Fault Location Method for Networked Power Supply System of Urban Rail Transit Based on Traveling Wave Method[J]. IEEE Trans. on Power Delivery, 2022, 37(1):123-134.
[15]Wang J, Liu Y. Impact of Network Structure on Shortcircuit Current Level in Urban Rail Transit Power Supply System[J]. IET Generation, Transmission&Distribution,2019, 13(15):3341-3350.
[16]Li Z, Chen Y. Active Distribution Network Power Flow Control Strategy Based on Distributed Generation[J]. IEEE Trans. on Smart Grid, 2020, 11(1):678-689.
[17]Chen X, Wang H. Application of Energy Storage Devices in Networked Power Supply System for Urban Rail Transit[J]. Journal of Modern Power Systems and Clean Energy, 2021, 9(2):345-356.
[18]Liu S, Zhang W. Fault Location Method for Networked Power Supply System of Urban Rail Ttransit Based on Traveling Wave Method[J]. IEEE Trans. on Power Delivery, 2022, 37(1):123-134.
[19]Wang Y, Li J. Application of Artificial Intelligence Technology in Distribution Network Fault Diagnosis[J]. CSEE Journal of Power and Energy Systems, 2023, 9(1):1-12.
[20]Huang Z, Sun P, Wang Q, et al. Metro Train-network Integrated Optimization for Traction Power Supply System with Bidirectional Converter Devices[C]//202412th International Conference on Traffic and Logistic Engineering(ICTLE). 2024:309-316.
[21]Wang X, Su S, Tang T. Cooperative Control among Trains in the Undersupplied Area During the Fault of Traction Power Supply System in Metro Line[C]//2021 IEEE Intelligent Transportation Systems Conference(ITSC). 2021:2411-2416.
[22]Mayet C, Delarue P, Bouscayrol A, et al. Comparison of Different EMR-based Models of Traction Power Substations for Energetic Studies of Subway Lines[J]. IEEE Trans. on Vehicular Technology, 2016, 65(3):1021-1029.
[23]Gu C, Zheng X, Chen H, et al. Research on Urban Rail Traffic Load Modelling Method Based on Multi-objective Function Optimization[C].//2023 3rd International Conference on New Energy and Power Engineering(ICNEPE).2023:1217-1220.
[24]C Jinrong, D Chaozong, M Liguo, et al. Probabilistic Power Flow Calculation Method for Subway Traction Load Based on Quasi-monte Carlo and Semi-invariant method[C]//2020 7th International Forum on Electrical Engineering and Automation(IFEEA). 2020:586-591.
基本信息:
DOI:10.20222/j.cnki.cn61-1124/tm.2026.04.001
中图分类号:U231.8;TM714
引用信息:
[1]谭乃久,赵文彬,郑欣.地铁牵引负荷的时间分布特点分析及建模研究[J].电力电子技术,2026,60(04):29-36.DOI:10.20222/j.cnki.cn61-1124/tm.2026.04.001.
基金信息:
上海市科学技术委员会(23DZ1201300)
2026-04-13
2026-04-13