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The rapid development of electric vehicles (EVs) is strengthening the bi-directional interactions between electric power networks (EPNs) and transportation networks (TNs) while providing opportunities to enhance the resilience of power systems towards extreme events. To quantify the temporal and spatial flexibility of EVs for charging and discharging, a novel dynamic traffic assignment (DTA) problem is proposed. The DTA problem is based on a link transmission model (LTM) with extended charging links, depicting the interaction between EVs and power systems. It models the charging rates as continuous variables by an energy boundary model. To consider the evacuation requirements of TNs and the uncertainties of traffic conditions, the DTA problem is extended to a two-stage distributionally robust version. It is further incorporated into a two-stage distributionally robust unit commitment problem to balance the enhancement of EPNs and the performance of TNs. The problem is reformulated into a mixed-integer linear programming problem and solved by off-the-shelf commercial solvers. Case studies are performed on two test networks. The effectiveness is verified by the numerical results, e.g., reducing the load shedding amount without increasing the unmet traffic demand.
IEA, "Global ev outlook 2022," International Energy Agency, May 2022.
W. Wei, L. Wu, J. H. Wang, and S. W. Mei, "Network equilibrium of coupled transportation and power distribution systems," IEEE Transactions on Smart Grid, vol. 9, no. 6, pp. 6764–6779, Jul. 2017.
Y. Y. Sun, Z. Q. Chen, Z. Y. Li, W. Tian, and M. Shahidehpour, "EV charging schedule in coupled constrained networks of transportation and power system," IEEE Transactions on Smart Grid, vol. 10, no. 5, pp. 4706–4716, Sep. 2019.
Y. Y. Sun, P. F. Zhao, L. W. Wang, and S. M. Malik, "Spatial and temporal modelling of coupled power and transportation systems: A comprehensive review," Energy Conversion and Economics, vol. 2, no. 2, pp. 55–66, May 2021.
Z. Zhou, X. Zhang, Q. L. Guo, and H. B. Sun, "Analyzing power and dynamic traffic flows in coupled power and transportation networks," Renewable and Sustainable Energy Reviews, vol. 135, p. 110083, Jan. 2021.
H. P. Wang, Y. P. Fang, and E. Zio, "Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems," Reliability Engineering & System Safety, vol. 222, pp. 108408, Jun. 2022.
W. Gan, M. Shahidehpour, J. B. Guo, W. Yao, S. Pandey, E. A. Paaso, A. Vukojevic, and J. Y. Wen, "A tri-level planning approach to resilient expansion and hardening of coupled power distribution and transportation systems," IEEE Transactions on Power Systems, vol. 37, no. 2, pp. 1495–1507, Mar. 2021.
A. K. Erenoǧlu and O. Erdinç, "Post-event restoration strategy for coupled distribution-transportation system utilizing spatiotemporal flexibility of mobile emergency generator and mobile energy storage system," Electric Power Systems Research, vol. 199, pp. 107432, Oct. 2021.
J. Fitzgibbons and C. L. Mitchell, "Just urban futures? Exploring equity in "100 resilient cities"," World Development, vol. 122, pp. 648–659, Oct. 2019.
Q. W. Li, S. Soleimaniamiri, and X. P. Li, "Optimal mass evacuation planning for electric vehicles before natural disasters," Transportation Research Part D: Transport and Environment, vol. 107, pp. 103292, Jun. 2022.
D. L. Donaldson, M. S. Alvarez-Alvarado, and D. Jayaweera, "Integration of electric vehicle evacuation in power system resilience assessment," IEEE Transactions on Power Systems, vol. 38, no. 4, pp. 3085–3096, Jul. 2023.
N. Bhusal, M. Abdelmalak, M. Kamruzzaman, and M. Benidris, "Power system resilience: Current practices, challenges, and future directions," IEEE Access, vol. 8, pp. 18064–18086, 2020.
Q. F. Wang, J. P. Watson, and Y. P. Guan, "Two-stage robust optimization for N-K contingency-constrained unit commitment," IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 2366–2375, Aug. 2013.
T. Y. Zhao, H. J. Zhang, X. C. Liu, S. H. Yao, and P. Wang, "Resilient unit commitment for day-ahead market considering probabilistic impacts of hurricanes," IEEE Transactions on Power Systems, vol. 36, no. 2, pp. 1082–1094, Mar. 2020.
L. A. P. J. Gonçalves and P. J. G. Ribeiro, "Resilience of urban transportation systems. concept, characteristics, and methods," Journal of Transport Geography, vol. 85, pp. 102727, May 2020.
P. Murray-Tuite and B. Wolshon, "Evacuation transportation modeling: An overview of research, development, and practice," Transportation Research Part C: Emerging Technologies, vol. 27, pp. 25–45, Feb. 2013.
T. Yao, S. R. Mandala, and B. D. Chung, "Evacuation transportation planning under uncertainty: a robust optimization approach," Networks and Spatial Economics, vol. 9, no. 2, pp. 171–189, May 2009.
A. Yazici and K. Ozbay, "Evacuation network modeling via dynamic traffic assignment with probabilistic demand and capacity constraints," Transportation Research Record: Journal of the Transportation Research Board, vol. 2196, no. 1, pp. 11–20, Jan. 2010.
H. S. Na and A. Banerjee, "Agent-based discrete-event simulation model for no-notice natural disaster evacuation planning," Computers & Industrial Engineering, vol. 129, pp. 44–55, Mar. 2019.
A. Hussain and P. Musilek, "Resilience enhancement strategies for and through electric vehicles," Sustainable Cities and Society, vol. 2196, pp. 103788, May 2022.
M. Nazemi, P. Dehghanian, X. N. Lu, and C. Chen, "Uncertainty-aware deployment of mobile energy storage systems for distribution grid resilience," IEEE Transactions on Smart Grid, vol. 12, no. 4, pp. 3200–3214, Jul. 2021.
S. H. Yao, P. Wang, X. C. Liu, H. J. Zhang, and T. Y. Zhao, "Rolling optimization of mobile energy storage fleets for resilient service restoration," IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1030–1043, Mar. 2019.
B. D. Li, Y. Chen, W. Wei, S. W. Huang, and S. W. Mei, "Resilient restoration of distribution systems in coordination with electric bus scheduling," IEEE Transactions on Smart Grid, vol. 12, no. 4, pp. 3314–3325, Jul. 2021.
Z. W. Xu, D. S. Callaway, Z. C. Hu, and Y. H. Song, "Hierarchical coordination of heterogeneous flexible loads," IEEE Transactions on Power Systems, vol. 31, no. 6, pp. 4206–4216, Nov. 2016.
H. C. Zhang, Z. C. Hu, Z. W. Xu, and Y. H. Song, "Evaluation of achievable vehicle- to-grid capacity using aggregate pev model," IEEE Transactions on Power Systems, vol. 32, no. 1, pp. 784–794, Jan. 2017.
G. Y. Hou and S. R. Chen, "Probabilistic modeling of disrupted infrastructures due to fallen trees subjected to extreme winds in urban community," Natural Hazards, vol. 102, no. 3, pp. 1323–1350, May 2020.
G. F. Newell, "A simplified theory of kinematic waves in highway traffic, part Ⅰ: General theory," Transportation Research Part B: Methodological, vol. 27, no. 4, pp. 281–287, Aug. 1993.
G.F. Newell, "A simplified theory of kinematic waves in highway trafic, part Ⅱ: Queueing at freeway bottlenecks," Transportation Research Part B: Methodological, vol. 27, no. 4, pp. 289–303, Aug.1993.
F. Rossi, R. Iglesias, M. Alizadeh, and M. Pavone, "On the interaction between autonomous mobility-on-demand systems and the power network: Models and coordination algorithms," IEEE Transactions on Control of Network Systems, vol. 7, no. 1, pp. 384–397, Mar. 2020.
Y. Wang, W. Y. Szeto, K. Han, and T. L. Friesz, "Dynamic traffic assignment: A review of the methodological advances for environmentally sustainable road transportation applications," Transportation Research Part B: Methodological, vol. 111, pp. 370–394, May 2018.
D. K. Merchant and G. L. Nemhauser, "A model and an algorithm for the dynamic traffic assignment problems," Transportation science, vol. 12, no. 3, pp. 183–199, Aug. 1978.
A. K. Ziliaskopoulos, "A linear programming model for the single destination system optimum dynamic traffic assignment problem," Transportation science, vol. 34, no. 1, pp. 37–49, Feb. 2000.
H. J. Zhang, L. Cheng, S. H. Yao, T. Y. Zhao, and P. Wang, "Spatial–temporal reliability and damage assessment of transmission networks under hurricanes," IEEE Transactions on Smart Grid, vol. 11, no. 2, pp. 1044–1054, Mar. 2020.
R. P. Huang, S. J. Qu, Z. W. Gong, M. Goh, and Y. Ji, "Data-driven two-stage distributionally robust optimization with risk aversion," Applied Soft Computing, vol. 87, p. 105978, Feb. 2020.
Y. W. Chen, Q. L. Guo, H. B. Sun, Z. S. Li, W. C. Wu, and Z. H. Li, "A distributionally robust optimization model for unit commitment based on kullback–leibler divergence," IEEE Transactions on Power Systems, vol. 33, no. 5, pp. 5147–5160, Sep. 2018.
B. Zeng and L. Zhao, "Solving two-stage robust optimization problems using a column-and-constraint generation method," Operations Research Letters, vol. 41, no. 5, pp. 457–461, Sep. 2013.
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