A valley filling solution for electric two-wheeler charging stations considering uncertainties

https://doi.org/10.31130/ud-jst.2025.475

Abstract: 234 | PDF: 146

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Author

  • Van Nguyen Ngoc
    Electric Power University, Hanoi, Vietnam
    Duc Nguyen Huu
    Electric Power University, Hanoi, Vietnam

Keywords:

Electric two-wheelers
charging stations
solar energy
valley filling

Abstract

Studies show that calculating charging plans for electric vehicle charging stations as well as two-wheeled electric vehicle charging stations, often involves constrained problems aiming at optimal technical or economic goals. When considering this problem, the diversity in charging demands of individual vehicle and the uncertainty in charging behavior such as arrival times, departure times, and initial state-of-charges, are practical issues that require charging plans to be estimated to respond real-time events dynamically. This study proposes and simulates a solution for estimating charging plans for two-wheeled electric vehicle charging stations, taking into account uncertainties relating to charging behavior, charging demand, and initial energy levels. The research results show that, solving the optimization problem in the RHC framework can effectively achieve optimal charging plans while addressing the uncertainty in charging behavior.

References

    [1] N. Huu and V. N. Ngoc, “Analysis Study of Current Transportation Status in Vietnam’s Urban Traffic and the Transition to Electric Two-Wheelers Mobility”, Sustainability, vol. 13, no. 10, p. 5577, May 2021, doi: 10.3390/su13105577.
    [2] N. Huu and V. N. Ngoc, “A Research on the Trend of Transport Electrification in Vietnam and the Feasibility of PV-Integrated Charging Station for Electric Two-wheelers at Electric Power University”, in 2021 11th International Conference on Power, Energy and Electrical Engineering (CPEEE), Shiga, Japan: IEEE, Feb. 2021, pp. 255–260. doi: 10.1109/CPEEE51686.2021.9383333.
    [3] K. B. Ponnam and K. Swarnasri, “Multi-Objective Optimal Allocation of Electric Vehicle Charging Stations and Distributed Generators in Radial Distribution Systems using Metaheuristic Optimization Algorithms”, Eng. Technol. Appl. Sci. Res., vol. 10, no. 3, pp. 5837–5844, Jun. 2020, doi: 10.48084/etasr.3517.
    [4] Ma, D. Callaway, and I. Hiskens, “Decentralized charging control for large populations of plug-in electric vehicles: Application of the Nash certainty equivalence principle”, in 2010 IEEE International Conference on Control Applications, Yokohama, Japan: IEEE, Sep. 2010, pp. 191–195. doi: 10.1109/CCA.2010.5611184.
    [5] Kapoor, V. S. Patel, A. Sharma, and A. Mohapatra, “Centralized and Decentralized Pricing Strategies for Optimal Scheduling of Electric Vehicles”, IEEE Trans. Smart Grid, vol. 13, no. 3, pp. 2234–2244, May 2022, doi: 10.1109/TSG.2022.3141261.
    [6] Zhang, F. Jabbari, T. Brown, and S. Samuelsen, “Coordinating plug-in electric vehicle charging with electric grid: Valley filling and target load following”, Journal of Power Sources, vol. 267, pp. 584–597, Dec. 2014, doi: 10.1016/j.jpowsour.2014.04.078.
    [7] N. Huu and V. N. Ngoc, “A Three-Stage of Charging Power Allocation for Electric Two-Wheeler Charging Stations”, IEEE Access, vol. 10, pp. 61080–61093, 2022, doi: 10.1109/ACCESS.2022.3181731.
    [8] N. Huu and V. N. Ngoc, “A Two-Level Desired Load Profile Tracking Algorithm for Electric Two-Wheeler Charging Stations”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 6, pp. 7814–7823, Dec. 2021, doi: 10.48084/etasr.4552.
    [9] N. Ngoc and D. N. Huu, “Optimal Valley-Filling Algorithm for Electric Two-wheeler Charging Stations”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 1, pp. 13072–13077, Feb. 2024, doi: 10.48084/etasr.6569.
    [10] Soares, M. A. Fotouhi Ghazvini, Z. Vale, and P. B. De Moura Oliveira, “A multi-objective model for the day-ahead energy resource scheduling of a smart grid with high penetration of sensitive loads”, Applied Energy, vol. 162, pp. 1074–1088, Jan. 2016, doi: 10.1016/j.apenergy.2015.10.181.
    [11] F. Shaaban, A. A. Eajal, and E. F. El-Saadany, “Coordinated charging of plug-in hybrid electric vehicles in smart hybrid AC/DC distribution systems”, Renewable Energy, vol. 82, pp. 92–99, Oct. 2015, doi: 10.1016/j.renene.2014.08.012.
    [12] H. Einaddin and A. S. Yazdankhah, “A novel approach for multi-objective optimal scheduling of large-scale EV fleets in a smart distribution grid considering realistic and stochastic modeling framework”, International Journal of Electrical Power & Energy Systems, vol. 117, p. 105617, May 2020, doi: 10.1016/j.ijepes.2019.105617.
    [13] Hussain, M. A. Ahmed, K.-B. Lee, and Y.-C. Kim, “Fuzzy Logic Weight Based Charging Scheme for Optimal Distribution of Charging Power among Electric Vehicles in a Parking Lot”, Energies, vol. 13, no. 12, p. 3119, Jun. 2020, doi: 10.3390/en13123119.
    [14] Jian, X. Zhu, Z. Shao, S. Niu, and C. C. Chan, “A scenario of vehicle-to-grid implementation and its double-layer optimal charging strategy for minimizing load variance within regional smart grids”, Energy Conversion and Management, vol. 78, pp. 508–517, Feb. 2014, doi: 10.1016/j.enconman.2013.11.007.
    [15] B. Irshad and S. Rafique, “Stochastic Modelling of Electric Vehicle’s Charging Behaviour in Parking Lots”, in 2020 IEEE Transportation Electrification Conference & Expo (ITEC), Chicago, IL, USA: IEEE, Jun. 2020, pp. 748–752. doi: 10.1109/ITEC48692.2020.9161566.
    [16] Wang and S. Wang, “Grid Power Peak Shaving and Valley Filling Using Vehicle-to-Grid Systems”, IEEE Trans. Power Delivery, vol. 28, no. 3, pp. 1822–1829, Jul. 2013, doi: 10.1109/TPWRD.2013.2264497.
    [17] Fieltsch, H. Flämig, and K. Rosenberger, “Analysis of charging behavior when using battery electric vehicles in commercial transport”, Transportation Research Procedia, vol. 46, pp. 181–188, 2020, doi: 10.1016/j.trpro.2020.03.179.
    [18] Guo, K. Zhu, C. Chen, and X. Xiao, “Characteristics and effect laws of the large-scale electric Vehicle’s charging load”, eTransportation, vol. 3, p. 100049, Feb. 2020, doi: 10.1016/j.etran.2020.100049.
    [19] Guo, Z. Bao, and W. Yan, “Stochastic Model Predictive Control Based Scheduling Optimization of Multi-Energy System Considering Hybrid CHPs and EVs”, Applied Sciences, vol. 9, no. 2, p. 356, Jan. 2019, doi: 10.3390/app9020356.
    [20] F. Angizeh, “Dataset on Hourly Load Profiles for a Set of 24 Facilities from Industrial, Commercial, and Residential End-use Sectors”, Mendeley, Aug. 21, 2020. doi: 10.17632/RFNP2D3KJP.1
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Published

May 31, 2025
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How to Cite
Văn, N. N., and N. H. Đức. “A Valley Filling Solution for Electric Two-Wheeler Charging Stations Considering Uncertainties”. The University of Danang - Journal of Science and Technology, vol. 23, no. 5A, May 2025, pp. 13-18, doi:10.31130/ud-jst.2025.475.

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