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Travel Activity Based Stochastic Modelling of Load and Charging State of Electric Vehicles

Author

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  • Muhammad Naveed Iqbal

    (Department of Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Lauri Kütt

    (Department of Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Matti Lehtonen

    (Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland)

  • Robert John Millar

    (Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland)

  • Verner Püvi

    (Department of Electrical Engineering and Automation, Aalto University, Maarintie 8, 02150 Espoo, Finland)

  • Anton Rassõlkin

    (Department of Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086 Tallinn, Estonia)

  • Galina L. Demidova

    (Faculty of Control Systems and Robotics, ITMO University, 197101 Saint Petersburg, Russia)

Abstract

The uptake of electric vehicles (EV) is increasing every year and will eventually replace the traditional transport system in the near future. This imminent increase is urging stakeholders to plan up-gradation in the electric power system infrastructure. However, for efficient planning to support an additional load, an accurate assessment of the electric vehicle load and power quality indices is required. Although several EV models to estimate the charging profile and additional electrical load are available, but they are not capable of providing a high-resolution evaluation of charging current, especially at a higher frequency. This paper presents a probabilistic approach capable of estimating the time-dependent charging and harmonic currents for the future EV load. The model is based on the detailed travel activities of the existing car owners reported in the travel survey. The probability distribution functions of departure time, distance, arrival time, and time span are calculated. The charging profiles are based on the measurements of several EVs.

Suggested Citation

  • Muhammad Naveed Iqbal & Lauri Kütt & Matti Lehtonen & Robert John Millar & Verner Püvi & Anton Rassõlkin & Galina L. Demidova, 2021. "Travel Activity Based Stochastic Modelling of Load and Charging State of Electric Vehicles," Sustainability, MDPI, vol. 13(3), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1550-:d:491378
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    References listed on IDEAS

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    Cited by:

    1. Piotr Rosik & Sławomir Goliszek & Tomasz Komornicki & Patryk Duma, 2021. "Forecast of the Impact of Electric Car Battery Performance and Infrastructural and Demographic Changes on Cumulative Accessibility for the Five Most Populous Cities in Poland," Energies, MDPI, vol. 14(24), pages 1-12, December.
    2. Anton Rassõlkin & Kari Tammi & Galina Demidova & Hassan HosseinNia, 2022. "Mechatronics Technology and Transportation Sustainability," Sustainability, MDPI, vol. 14(3), pages 1-3, January.
    3. Seppo Borenius & Petri Tuomainen & Jyri Tompuri & Jesse Mansikkamäki & Matti Lehtonen & Heikki Hämmäinen & Raimo Kantola, 2022. "Scenarios on the Impact of Electric Vehicles on Distribution Grids," Energies, MDPI, vol. 15(13), pages 1-30, June.
    4. Kamran Daniel & Lauri Kütt & Muhammad Naveed Iqbal & Noman Shabbir & Ateeq Ur Rehman & Muhammad Shafiq & Habib Hamam, 2022. "Current Harmonic Aggregation Cases for Contemporary Loads," Energies, MDPI, vol. 15(2), pages 1-15, January.
    5. Shubham Mishra & Shrey Verma & Subhankar Chowdhury & Ambar Gaur & Subhashree Mohapatra & Gaurav Dwivedi & Puneet Verma, 2021. "A Comprehensive Review on Developments in Electric Vehicle Charging Station Infrastructure and Present Scenario of India," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    6. Muhammad Ali & Krishneel Prakash & Carlos Macana & Ali Kashif Bashir & Alireza Jolfaei & Awais Bokhari & Jiří Jaromír Klemeš & Hemanshu Pota, 2022. "Modeling Residential Electricity Consumption from Public Demographic Data for Sustainable Cities," Energies, MDPI, vol. 15(6), pages 1-16, March.
    7. Anton Dianov, 2022. "Instant Closing of Permanent Magnet Synchronous Motor Control Systems at Open-Loop Start," Sustainability, MDPI, vol. 14(19), pages 1-17, October.
    8. Muhammad Naveed Iqbal & Lauri Kütt & Kamran Daniel & Bilal Asad & Payam Shams Ghahfarokhi, 2021. "Estimation of Harmonic Emission of Electric Vehicles and Their Impact on Low Voltage Residential Network," Sustainability, MDPI, vol. 13(15), pages 1-17, July.

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