Reliability Evaluation of Distribution Network with Electric Vehicles and Distributed Generations Based on Network Equivalence and Sequential Monte Carlo Method
Publication: Journal of Energy Engineering
Volume 150, Issue 4
Abstract
This paper proposes a reliability evaluation method of a distribution network with electric vehicles (EVs) and distributed generations (DGs) based on network equivalence and sequential Monte Carlo. Unlike traditional studies, the proposed method not only can effectively simplify the complexity structure of the distribution network with EVs and DGs, but also can establish a multidimensional reliability evaluation system for the distribution network with EVs and DGs. Firstly, the related models of DGs and EVs are established respectively in our study. Based on the minimum path method, the impact of each component fault on each load point is analyzed, and the failure impact analysis (FIA) table is constructed. Then, a simplified method for the structure of the distribution network with EVs and DGs based on network equivalence is proposed and validated. Moreover, the reliability evaluation method of the distribution network with EVs and DGs is given based on the sequential Monte Carlo. Finally, an illustrative example of the improved IEEE RBTS BUS6 F4 feeder system, as well as multiple dimensions discussions, are elaborated in detail to demonstrate the effectiveness and superiority of the proposed model.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Data is included in the published article.
Acknowledgments
This work is supported by the National Natural Science Foundation of China (52177042), the National Natural Science Foundation of Hebei Province (E2020502032), the Chinese Fundamental Research Funds for the Central Universities (2023MS128), the Science and Technology Project of China Southern Power Grid Co., Ltd (GDKJXM20230402), the South Lake Taihu Elite Program Innovation Talent Team Project “Research and industrialization of gear hobbing specialized equipment for precision CNC machining of automotive gears,” the Top Youth Talent Support Program of Hebei Province ([2018]-27), the Hebei Provincial High-Level Talent Funding Project (B20231006), and the Suzhou Social Developing Innovation Project of Science and Technology (SS202134).
Author contributions: Haipeng Wang: Writing—original draft. Kaiwen Li: Writing—review and editing. Zixuan Liu: Writing—review and editing. Yuling He: Methodology. Xiaolong Wang: Conceptualization, Data curation. Kai Sun: Validation. Peng Yang: Writing—review and editing.
References
Allan, R. N., R. Billinton, I. Sharief, L. Goel, and K. S. So. 1991. “A reliability test system for educational purposes-basic distribution system data and results.” IEEE Trans. Power Delivery 6 (2): 813–820. https://doi.org/10.1109/59.76730.
Bai, H., S. H. Miao, T. T. Qing, and P. P. Zhang. 2015. “Reliability assessment based on combined power generator system for distribution system with electric vehicle.” Trans. China Electrotechnical Soc. 30 (11): 127–137. https://doi.org/10.3390/en8021216.
Brian, M. N., H. Ignacio, L. Ran, G. Chenghong, and P. D. Antonio. 2021. “Model order reduction for reliability assessment of flexible power networks.” Int. J. Electr. Power Energy Syst. 127 (May): 106623. https://doi.org/10.1016/J.IJEPES.2020.106623.
Cai, C., Z. J. Xie, H. F. Chen, J. Han, A. J. Fan, and N. Wang. 2021. “Study on reliability assessment of distribution networks containing distributed power supplies.” J. Phys. Conf. Ser. 2030 (1): 012053. https://doi.org/10.1088/1742-6596/2030/1/012053.
Chuong, T. T., N. Hung, and N. H. Nam. 2019. “Assessment of wind turbine generators on reliability of distribution network.” J. Electr. Eng. Technol. 14 (6): 2217–2224. https://doi.org/10.1007/s42835-019-00244-4.
de Oliveira, R., and C. L. Borges. 2021. “Influence of photovoltaic generation model and time resolution on the reliability evaluation of distribution systems.” Int. J. Energy Res. 45 (1): 864–878. https://doi.org/10.1002/ER.5971.
Guan, Y. G., W. C. Xu, Y. Tang, Q. Wang, Z. Q. Wang, S. T. Zhang, and T. Niu. 2019. “Reliability evaluation of distribution network with electric vehicles based on digraph and sequential Monte Carlo method.” Power Syst. Clean Energy 35 (3): 49–57.
Guo, X. C., D. P. Yan, and T. Wang. 2023. “Reliability assessment of distribution network considering multi-information factor interference and DG access.” Adv. Technol. Electr. Eng. Energy 42 (3): 55–65. https://doi.org/10.12067/ATEEE2203048.
He, Y. L., X. W. Wu, K. Sun, X. D. Du, H. P. Wang, and J. L. Zhao. 2023. “Economic optimization scheduling based on load demand in microgrids considering source network load storage.” Electronics 12 (12): 2721. https://doi.org/10.3390/electronics12122721.
Huang, Y. H., J. Ding, C. L. Ma, X. L. Chen, B. Fu, and W. S. Ling. 2020. “Reliability evaluation of active distribution network considering various active adjustment means.” J. Eng. 2020 (9): 768. https://doi.org/10.1049/joe.2019.0980.
Jia, L., Z. C. Hu, Y. H. Song, and H. J. Ding. 2017. “Joint planning of distribution networks with distributed energy storage systems and electric vehicle charging stations.” Proc. CSEE 37 (1): 73–84. https://doi.org/10.13334/j.0258-8013.pcsee.160818.
Kebede, F. S., J. C. Olivier, S. Bourguet, and M. Machmoum. 2021. “Reliability evaluation of renewable power systems through distribution network power outage modelling.” Energies 14 (11): 3225. https://doi.org/10.3390/en14113225.
Kumar, S., K. Sarita, A. S. S. Vardhan, R. M. Elavarasan, R. K. Saket, and N. Das. 2020. “Reliability assessment of wind-solar PV integrated distribution system using electrical loss minimization technique.” Energies 13 (21): 5631. https://doi.org/10.3390/en13215631.
Li, G. F., Y. X. Huang, Z. H. Bie, and T. Ding. 2020. “Machine-learning-based reliability evaluation framework for power distribution networks.” IET Gener. Transm. Distrib. 14 (12): 2282–2291. https://doi.org/10.1049/iet-gtd.2019.1520.
Li, Y. Y., Y. W. Guan, J. Q. Zhao, and Y. Wang. 2023. “Reliability evaluation method of active distribution network based on optimization model.” Proc. CSEE 43 (8): 2931–2940. https://doi.org/10.13334/j.02588013.pcsee.213064.
Liu, W. X., Y. C. Huang, Y. H. Yang, and X. Liu. 2020. “Reliability evaluation and analysis of multi-terminal interconnect power distribution system with flexible multi-state switch.” IET Gener. Transm. Distrib. 14 (21): 4746–4754. https://doi.org/10.1049/iet-gtd.2020.0930.
Liu, W. X., Z. J. Lin, T. Ma, Z. Q. Wang, and Q. Gong. 2019. “Reliability modeling and evaluation of active distribution system considering effect of cyber invalidity.” Autom. Electr. Power Syst. 17 (1): 94–106. https://doi.org/10.1007/s12555-018-0117-7.
Ma, Y., G. Wei, Y. Li, M. Li, and S. W. Deng. 2021. “Reliability evaluation of DC distribution network considering islanding source-load uncertainty.” Trans. China Electrotechnical Soc. 36 (22): 4726–4738. https://doi.org/10.19595/j.cnki.1000-6753.tces.201405.
Mehran, M., K. Ali, and H. Hamed. 2022. “Clustering-based reliability assessment of smart grids by fuzzy c-means algorithm considering direct cyber–Physical interdependencies and system uncertainties.” Sustainable Energy Grids Networks 31 (Sep): 100757. https://doi.org/10.1016/J.SEGAN.2022.100757.
Wang, H. P., X. W. Wu, K. Sun, X. D. Du, Y. L. He, and K. W. Li. 2023a. “Economic dispatch optimization of a microgrid with wind–photovoltaic-load-storage in multiple scenarios.” Energies 16 (9): 3955. https://doi.org/10.3390/en16093955.
Wang, H. P., X. W. Wu, K. Sun, and Y. L. He. 2022. “Research on the optimal economic power dispatching of a multi-microgrid cooperative operation.” Energies 15 (21): 8194. https://doi.org/10.3390/en15218194.
Wang, L., M. Y. Yuan, F. Zhang, X. L. Wang, L. Dai, and F. Zhao. 2019. “Risk assessment of distribution networks integrating large-scale distributed photovoltaics.” IEEE Access 7 (28): 59653–59664. https://doi.org/10.1109/ACCESS.2019.2912804.
Wang, S. X., J. Z. Gao, Q. Y. Zhao, and B. J. Zhang. 2023b. “Short-term reliability assessment method of active distribution network considering fault reconfiguration and cyber constraints.” Electr. Power Autom. Equip. 43 (10): 1–12. https://doi.org/10.16081/j.epae.202309008.
Weng, Z. P., J. H. Zhou, and Z. D. Zhan. 2022. “Reliability evaluation of standalone microgrid based on sequential Monte Carlo simulation method.” Energies 15 (18): 6706. https://doi.org/10.3390/en15186706.
Wu, L. H., H. Liu, and Q. H. Zeng. 2020. Reliability analysis and evaluation of power supply in distribution networks user side. Beijing: China Water & Power Press.
Xu, J. Y., J. Y. Ding, D. J. Yang, Y. J. Xiao, J. Yang, and Z. F. Tu. 2021. “Distribution network reliability evaluation method based on graph theory and network equivalence.” J. Electr. Eng. 16 (3): 92–98. https://doi.org/10.11985/2021.03.013.
Xuan, J. Q., J. Y. Zheng, P. J. Shi, J. P. Chen, M. R. Lin, and Z. J. Hu. 2020. “Reliability evaluation of distribution system considering distributed generation correlation.” J. Phys. Conf. Ser. 1585 (1): 012029. https://doi.org/10.1088/1742-6596/1585/1/012029.
Yan, Y. H., W. Bao, S. Gao, and Q. Wang. 2021. “Research on reliability evaluation of complex distribution network considering N-1 verification.” J. Phys. Conf. Ser. 2137 (1): 012014. https://doi.org/10.1088/1742-6596/2137/1/012014.
Yu, L., T. Y. Zhao, Q. F. Chen, and J. H. Zhang. 2015. “Centralized bi-level spatial-temporal coordination charging strategy for area electric vehicles.” CSEE J. Power Energy Syst 1 (4): 74–83. https://doi.org/10.17775/CSEEJPES.2015.00050.
Zhang, S., W. X. Liu, H. Y. Wan, Y. L. Bai, Y. Z. Yang, Y. J. Ma, and Y. Lu. 2023. “Combing data-driven and model-driven methods for high proportion renewable energy distribution network reliability evaluation.” Int. J. Electr. Power Energy Syst. 149 (Jul): 108941. https://doi.org/10.1016/j.ijepes.2022.108941.
Zhao, H. S., and H. Y. Zhao. 2015. “Distribution system reliability analysis considering the elements failure rate changes.” Power Syst. Protect. Control 43 (11): 56–62. https://doi.org/1674-3415(2015)11-0056-07.
Information & Authors
Information
Published In
Journal of Energy Engineering
Volume 150 • Issue 4 • August 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Nov 25, 2023
Accepted: Mar 20, 2024
Published online: Jun 7, 2024
Published in print: Aug 1, 2024
Discussion open until: Nov 7, 2024
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.