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Participation of Aggregated Electric Vehicles in Demand Response Programs

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Electric Vehicles in Energy Systems

Abstract

In this chapter, the penetration of electric vehicle (EV) in demand response programs is presented. Firstly, EVs as an essential candidate for demand response program implementation are explained. In this way, both vehicle to grid (V2G) and grid to vehicle (G2V) capability of EVs are described. Actually, by using the pricing mechanism that encourages consumers to shift the EV charging load, the tradeoff between the shift able loads and the incentive cost investigated. Then, the optimization problem in a parking lot (PL) and smart distribution system (SDS) is formulated, and their constraints and uncertainties are displayed. Performance of each demand response programs (DRPs) is analyzed, and the optimum implementation extracted. Next, by considering the fact that all the EVs in parking lots cannot be charged at the same time, charging schedule presented to achieve optimal operation of the parking lot.

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Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering, K. N. Toosi University of Technology, Tehran, Iran

    Maedeh Yazdandoust & Masoud Aliakbar Golkar

Authors
  1. Maedeh Yazdandoust
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  2. Masoud Aliakbar Golkar
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Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Bonab, Bonab, Iran

    Ali Ahmadian

  2. Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran

    Behnam Mohammadi-ivatloo

  3. University of Waterloo, Department of Chemical Engineering, College of Engineering, Khalifa University of Science and Technology, The Petroleum Institute Abu Dhabi, UAE, Waterloo, ON, Canada

    Ali Elkamel

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Yazdandoust, M., Golkar, M.A. (2020). Participation of Aggregated Electric Vehicles in Demand Response Programs. In: Ahmadian, A., Mohammadi-ivatloo, B., Elkamel, A. (eds) Electric Vehicles in Energy Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-34448-1_14

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  • DOI: https://doi.org/10.1007/978-3-030-34448-1_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34447-4

  • Online ISBN: 978-3-030-34448-1

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