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Mitigation of the Impact of High Plug-in Electric Vehicle Penetration on Residential Distribution Grid Using Smart Charging Strategies

Author

Listed:
  • Chong Cao

    (Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA)

  • Luting Wang

    (Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USA)

  • Bo Chen

    (Department of Electrical and Computer Engineering, Michigan Technological University, Houghton, MI 49931, USA
    Department of Mechanical Engineering-Engineering Mechanics, Michigan Technological University, Houghton, MI 49931, USA)

Abstract

Vehicle electrification presents a great opportunity to reduce transportation greenhouse gas emissions. The greater use of plug-in electric vehicles (PEVs), however, puts stress on local distribution networks. This paper presents an optimal PEV charging control method integrated with utility demand response (DR) signals to mitigate the impact of PEV charging to several aspects of a grid, including load surge, distribution accumulative voltage deviation, and transformer aging. To build a realistic PEV charging load model, the results of National Household Travel Survey (NHTS) have been analyzed and a stochastic PEV charging model has been defined based on survey results. The residential distribution grid contains 120 houses and is modeled in GridLAB-D. Co-simulation is performed using Matlab and GridLAB-D to enable the optimal control algorithm in Matlab to control PEV charging loads in the residential grid modeled in GridLAB-D. Simulation results demonstrate the effectiveness of the proposed optimal charging control method in mitigating the negative impacts of PEV charging on the residential grid.

Suggested Citation

  • Chong Cao & Luting Wang & Bo Chen, 2016. "Mitigation of the Impact of High Plug-in Electric Vehicle Penetration on Residential Distribution Grid Using Smart Charging Strategies," Energies, MDPI, vol. 9(12), pages 1-19, December.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:12:p:1024-:d:84396
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    Citations

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    Cited by:

    1. Vasileios Boglou & Christos-Spyridon Karavas & Konstantinos Arvanitis & Athanasios Karlis, 2020. "A Fuzzy Energy Management Strategy for the Coordination of Electric Vehicle Charging in Low Voltage Distribution Grids," Energies, MDPI, vol. 13(14), pages 1-34, July.
    2. Yuttana Kongjeen & Krischonme Bhumkittipich, 2018. "Impact of Plug-in Electric Vehicles Integrated into Power Distribution System Based on Voltage-Dependent Power Flow Analysis," Energies, MDPI, vol. 11(6), pages 1-16, June.
    3. Javier Leiva & Rubén Carmona Pardo & José A. Aguado, 2019. "Data Analytics-Based Multi-Objective Particle Swarm Optimization for Determination of Congestion Thresholds in LV Networks," Energies, MDPI, vol. 12(7), pages 1-20, April.
    4. Dongwook Kim & Hongseok Kim & Anfeng Huang & Qiusen He & Hanyu Zhang & Seungyoung Ahn & Yuyu Zhu & Jun Fan, 2019. "Analysis and Introduction of Effective Permeability with Additional Air-Gaps on Wireless Power Transfer Coils for Electric Vehicle Based on SAE J2954 Recommended Practice," Energies, MDPI, vol. 12(24), pages 1-11, December.
    5. Yuping Lin & Kai Zhang & Zuo-Jun Max Shen & Lixin Miao, 2019. "Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    6. Sofana Reka S & Prakash Venugopal & Ravi V & Hassan Haes Alhelou & Amer Al-Hinai & Pierluigi Siano, 2022. "Analysis of Electric Vehicles with an Economic Perspective for the Future Electric Market," Future Internet, MDPI, vol. 14(6), pages 1-17, May.
    7. Rong-Ceng Leou & Jeng-Jiun Hung, 2017. "Optimal Charging Schedule Planning and Economic Analysis for Electric Bus Charging Stations," Energies, MDPI, vol. 10(4), pages 1-17, April.
    8. Chong Cao & Zhouquan Wu & Bo Chen, 2020. "Electric Vehicle–Grid Integration with Voltage Regulation in Radial Distribution Networks," Energies, MDPI, vol. 13(7), pages 1-18, April.
    9. Temitayo O. Olowu & Aditya Sundararajan & Masood Moghaddami & Arif I. Sarwat, 2018. "Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey," Energies, MDPI, vol. 11(7), pages 1-32, July.
    10. Karam Hwang & Jaeyong Cho & Dongwook Kim & Jaehyoung Park & Jong Hwa Kwon & Sang Il Kwak & Hyun Ho Park & Seungyoung Ahn, 2017. "An Autonomous Coil Alignment System for the Dynamic Wireless Charging of Electric Vehicles to Minimize Lateral Misalignment," Energies, MDPI, vol. 10(3), pages 1-20, March.

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