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Impact of electric-drive vehicles on power system reliability

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  • Božič, Dušan
  • Pantoš, Miloš

Abstract

The paper assesses the impact of electric-drive vehicles (EDVs) on power system reliability. For this purpose, it introduces direct optimization of reliability indices LOLE (Loss of Load Expectation) and EENS (Expected Energy Not Served). The analysis is performed by the proposed optimization model applied in different strategies of charging/discharging of EDV batteries. In general, it is observed that numerous EDVs increase the system loading resulting in weakening of the system reliability. However, the paper comes to the conclusion that EDVs could support the system to some extent, depending on the penetration level of EDVs, if an appropriate charging/discharging strategy is applied. Besides this technical question the paper also addresses the costs of the system reserve provision required for the system reliability support. A system operator could engage additional power plants in order to maintain the system reliability or, if this is more cost effective, the support could be provided by EDVs applying the appropriate charging/discharging strategy. The paper proposes a new approach for the techno-economic assessment of possible solutions that are ranked by its price-performance ratio.

Suggested Citation

  • Božič, Dušan & Pantoš, Miloš, 2015. "Impact of electric-drive vehicles on power system reliability," Energy, Elsevier, vol. 83(C), pages 511-520.
    • Handle: RePEc:eee:energy:v:83:y:2015:i:c:p:511-520
    DOI: 10.1016/j.energy.2015.02.055
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    3. Dongnyok Shim & Seung Wan Kim & Jörn Altmann & Yong Tae Yoon & Jin Gyo Kim, 2018. "Key Features of Electric Vehicle Diffusion and Its Impact on the Korean Power Market," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
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    5. Fathabadi, Hassan, 2015. "Utilization of electric vehicles and renewable energy sources used as distributed generators for improving characteristics of electric power distribution systems," Energy, Elsevier, vol. 90(P1), pages 1100-1110.
    6. Nunes, Pedro & Brito, M.C., 2017. "Displacing natural gas with electric vehicles for grid stabilization," Energy, Elsevier, vol. 141(C), pages 87-96.
    7. Pavić, Ivan & Capuder, Tomislav & Kuzle, Igor, 2016. "Low carbon technologies as providers of operational flexibility in future power systems," Applied Energy, Elsevier, vol. 168(C), pages 724-738.
    8. Jian Chen & Fangyi Li & Ranran Yang & Dawei Ma, 2020. "Impacts of Increasing Private Charging Piles on Electric Vehicles’ Charging Profiles: A Case Study in Hefei City, China," Energies, MDPI, vol. 13(17), pages 1-17, August.
    9. Khodakarami, Alireza & Farahani, Hassan Feshki & Aghaei, Jamshid, 2017. "Stochastic characterization of electricity energy markets including plug-in electric vehicles," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 112-122.
    10. Soares, João & Borges, Nuno & Fotouhi Ghazvini, Mohammad Ali & Vale, Zita & de Moura Oliveira, P.B., 2016. "Scenario generation for electric vehicles' uncertain behavior in a smart city environment," Energy, Elsevier, vol. 111(C), pages 664-675.
    11. Zeng, Bo & Feng, Jiahuan & Zhang, Jianhua & Liu, Zongqi, 2017. "An optimal integrated planning method for supporting growing penetration of electric vehicles in distribution systems," Energy, Elsevier, vol. 126(C), pages 273-284.
    12. Davidov, Sreten & Pantoš, Miloš, 2019. "Optimization model for charging infrastructure planning with electric power system reliability check," Energy, Elsevier, vol. 166(C), pages 886-894.
    13. Abdulaziz Almutairi, 2022. "Impact Assessment of Diverse EV Charging Infrastructures on Overall Service Reliability," Sustainability, MDPI, vol. 14(20), pages 1-16, October.
    14. Zeng, Bo & Sun, Bo & Wei, Xuan & Gong, Dunwei & Zhao, Dongbo & Singh, Chanan, 2020. "Capacity value estimation of plug-in electric vehicle parking-lots in urban power systems: A physical-social coupling perspective," Applied Energy, Elsevier, vol. 265(C).

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