A Hybrid Data and Mechanism Model-driven Digital Twin Modelling Approach for Novel Traction Power Systems

Abstract

Given the demand for real-time operation state simulation technology for integrating significant amounts of renewable energy into the traction power systems (TPSS), and considering the substantial volatility and intermittence of renewable energy (photovoltaic) output, the accuracy and real-time performance of traditional mechanism simulation models are low. This paper proposes a new digital twin (DT) modeling method for the TPSS, driven by a combination of data and mechanism models. Firstly, the mechanism model of the TPSS is established, with the external power supply simplified to a three-phase Thevenin equivalent circuit. The traction substation is replaced by a traction transformer, and the AT substation is replaced by an AT transformer. The traction network is simplified into a four-conductor model of T, F, P, and R, represented by a π-type equivalent circuit. Secondly, based on the measured data of photovoltaic (PV) power, the data are segmented according to its output time characteristics after preprocessing. The data source is derived by considering the form of a controlled current source. The PV data-driven model is established by importing the real-time data source into Simulink and outputting it to the controlled current source. Thirdly, the railway static power conditioner is used to effectively integrate the TPSS mechanism model with the PV data model, completing the coupling modeling of the two. Finally, the system is simulated and verified by modeling the typical working conditions of two power supply arms with heavy loads (8 MW) and one power supply arm with a heavy load (8 MW) and a light load (2 MW). The results show that the system can achieve the average distribution of power according to the external input PV output data and can reduce the traction energy consumption by about 0.5 MW for the two power supply arms. This is of great significance for the simulation and application of the novel TPSS.

Keywords

Hybrid drive of data and mechanism / Digital twin / Novel traction power systems / Remote procedure call / PV

References

[1] Xinhua net. China 's high-speed rail mileage accounts for 42,000 kilometers.[EB/OL]. Beijing: Xinhua Publishing House, 2023[2023-1-13]. http://www.xinhuanet.com/2023-01/13/c_1129282181.htm

[2] ZhouX. A Study on Potential for Using New Energy and Renewable Energy Sources in Railways. International Journal of Energy and Power Engineering, 2019, 12(3): 45-51

[3] Lori L, Redi P, Ruzinsky M. Grid connected photovoltaic supply units for railway applications[C]// Conference Record of the Twenty Fifth IEEE Photovoltaic Specialists Conference. Washington D.C., USA: IEEE, 1996: 1477-1480.

[4] Hayashiya H, Furukawa T, Itagaki H, et al. Potentials, peculiarities and prospects of solar power generation on the railway premises[C]// International Conference on Renewable Energy Research and Applications. Nagasaki, Japan: IEEE, 2012: 1-6

[5] LiY, JingPP, YangMJ, et al.. Study on ESS control strategy for distribution network with PV[J]. Electricity, 2014, 25(4): 13-18

[6] ChenWR, WangX, LiQ. Review on the Development Status of PV Power Station Accessing to Traction Power Supply System for Rail Transit[J]. Power System Technology, 2019, 43(10): 3663-3670

[7] Chen WR, Wang XY, Han Y. Research on Coordinated Control Method of PV and Battery Access Traction Power Supply System Based on RPC[J]. Journal of Southwest Jiaotong University:1-10[2023-02-27]

[8] Deng WL. Application of PV Generation in AC/DC Traction Power Supply System and the Key Problem Analysis under the Background of Rail Transit Energy Internet[J]. Proceedings of the CSEE, 2019,39(19):5692-5702+5897.

[9] Gao FY. Energy management strategies for traction power systems with PV and energy storage access[J/OL]. Transactions of China Electrotechnical Society: 1-13[2023-02-27].

[10] Zhai X. Xie ZJ, Wang Y, et al. Low Frequency Stability Analysis of Photovoltaic Connected Traction Power Supply System Based on Extended Forbidden Region-Based Criterion[J]. High Voltage Engineering: 1-12[2023-02-27].

[11] Xu CP, Han Y, Li. Q, et al. "Research on Coordinated Control Method of PV and Battery Access Traction Power Supply System Based on RPC," 2020 IEEE Sustainable Power and Energy Conference (iSPEC), Chengdu, China, 2020: 173-179.

[12] TaoF, LiuWR, ZhangM, et al.. Five-dimension digital twin model and its ten applications[J]. Comput Integr Manuf Syst, 2019, 25(01): 1-18

[13] Grieves, Michael W. Product Lifecycle Management: Driving the Next Generation of Lean Thinking. [M], McGraw-Hill, 2005:78-81.

[14] LiF, WangQ, HuJX, et al.. Combined data-driven and knowledge-driven methodology research advances and its applied prospect in power systems[J]. Proceedings of the CSEE, 2021, 41(13): 4377-4390

[15] HeX, AiQ, ZhuTY, et al.. Opportunities and challenges of the digital twin in power system applications[J]. Power System Technology, 2020, 44(06): 2009-2019

[16] ShenC, CaoQN, JiaMS, et al.. Concepts, characteristics and prospects of application of digital twin in power system[J]. Proceedings of the CSEE, 2020, 44(06): 2009-2019

[17] JiangXC, XuYP, LiYC, et al.. Digitalization transformation of power transmission and transformation under the background of new power system[J]. High Voltage Engineering, 2022, 48(01): 1-10

[18] Wang YD, Zang G, Yu H, et al. High-Fidelity Modeling Method of Urban Rail Power Supply System Based on Digital Twin[J]. High Voltage Engineering, 2021,47(05):1576-1583.)

[19] Guo J, Wu X, Liang H, et al. Digital-twin based Power Supply System Modeling and Analysis for Urban Rail Transportation[C]// 2020 IEEE International Conference on Energy Internet (ICEI). IEEE, 2020.

[20] Ahmadi M, Kaley bar H J, Brenna M, et al. Adapting Digital Twin Technology in Electric Railway Power Systems[C]// 2021 12th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC). 2021.

[21] Pu TJ, Chen S, Zhao Q, et al. Framework Design and Application Prospect for Digital Twins System of Energy Internet[J]. Proceedings of the CSEE, 2021, 41(6): 2012-2029.)

[22] ShenR, HanZQ, LiuSP, et al.. Research on Port Impedance Characteristics of High-speed Railway AII Parallel Autotransformer Traction Network[J]. JOURNAL OF CHINA RAILWAY SOCIETY, 2023, 45(05): 40-46

[23] Luo SJ, High-speed Traction Power Supply System Modeling and the Analysis of Simulation[D]. Xihua University, 2017.

[24] FengD, et al.. Evaluation of power supply capability and quality for traction power supply system considering the access of distributed generations. IET Renew Power Gener, 2020, 14(18): 3644-3652

[25] Cheng. Y, Liu. ZG, Huang. K and et al. "Modeling analysis of electric multiple units passing insulated rail joints in high-speed railway station," IEEE Transportation Electrification Conference and Expo, Asia-Pacific (ITEC Asia-Pacific), Harbin, China, 2017: 1-6.

[26] DommelHW EMTP Theory Book [Z], 1992 2 Vancouver, British Columbia Microtran Power System Analysis Corporation

[27] LiuJ, ZhangK. Design and simulation debugging of automobile connecting rod production line based on the digital twin. Appl Sci, 2023, 13(8): 4919

[28] WuML, Back-to-BackPV. Generation system and its control strategy for electrified railway[J]. Power System Technology, 2018, 42(02): 541-547

Funding

the National Natural Science Foundation of China(51767015)

the Key Program of Natural Science Foundation of Gansu Province(22JR5RA317)

Key Laboratory of Railway Industry of BIM Engineering and Intelligent for Electric Power Supply Communication and Signaling Open Project(BIMKF-2022-01)

Gansu Provincial Higher Education Industry Support Plan Project(202339)

Gansu Province Joint Research Fund Project in 2024(G1405)

RIGHTS & PERMISSIONS

The Author(s)