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Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility

Author

Listed:
  • Dam Kim

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Hungyu Kwon

    (Raon Friends, 267 Simin-daero, Dongan-gu, Anyang 14054, Korea)

  • Mun-Kyeom Kim

    (Department of Energy System Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea)

  • Jong-Keun Park

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

  • Hyeongon Park

    (Department of Statistics, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Korea)

Abstract

A high penetration level of renewable energy in a power system increases variability and uncertainty, which can lead to ramping capability shortage. This makes the stable operation of a power system difficult. However, appropriate management of electric vehicles (EVs) can overcome such difficulties. In this study, EVs were applied as a flexible ramping product (FRP), and a method was developed to increase the system ramping capability. When increasing the FRP to the amount required for the system, the effect on transmission lines cannot be neglected. Thus, the required FRP considering transmission constraints is calculated separately for each zone to secure deliverability. To make adjustment possible, the zonal available capacity is calculated by considering the probabilities of the location and the plugged and charged states of EVs. The applicability of EVs as an FRP resource is examined, and the results showed that they can be used at a more significant level considering the transmission constraints.

Suggested Citation

  • Dam Kim & Hungyu Kwon & Mun-Kyeom Kim & Jong-Keun Park & Hyeongon Park, 2017. "Determining the Flexible Ramping Capacity of Electric Vehicles to Enhance Locational Flexibility," Energies, MDPI, vol. 10(12), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2028-:d:121124
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    References listed on IDEAS

    as
    1. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2015. "Value of flexible electric vehicles in providing spinning reserve services," Applied Energy, Elsevier, vol. 157(C), pages 60-74.
    2. Hannes Kunz & Nathan John Hagens & Stephen B. Balogh, 2014. "The Influence of Output Variability from Renewable Electricity Generation on Net Energy Calculations," Energies, MDPI, vol. 7(1), pages 1-23, January.
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    Cited by:

    1. Longjian Piao & Laurens de Vries & Mathijs de Weerdt & Neil Yorke-Smith, 2019. "Electricity Markets for DC Distribution Systems: Design Options," Energies, MDPI, vol. 12(14), pages 1-16, July.
    2. Crampes, Claude & Renault, Jérôme, 2019. "How many markets for wholesale electricity when supply ispartially flexible?," Energy Economics, Elsevier, vol. 81(C), pages 465-478.
    3. Sunwoong Kim & Dam Kim & Yong Tae Yoon, 2019. "Short-Term Operation Scheduling of a Microgrid under Variability Contracts to Preserve Grid Flexibility," Energies, MDPI, vol. 12(18), pages 1-16, September.
    4. Sreekumar, Sreenu & Yamujala, Sumanth & Sharma, Kailash Chand & Bhakar, Rohit & Simon, Sishaj P. & Rana, Ankur Singh, 2022. "Flexible Ramp Products: A solution to enhance power system flexibility," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).

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