IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v18y2025i11p2876-d1668864.html
   My bibliography  Save this article

Improvement of Power Quality of Grid-Connected EV Charging Station Using Grid-Component Based Harmonic Mitigation Technique

Author

Listed:
  • Anum Mehmood

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

  • Fan Yang

    (School of Electrical Engineering, Chongqing University, Chongqing 400044, China)

Abstract

Conventional approaches for designing distribution grids are often time-consuming and computationally expensive. To minimize power harmonics in a low-voltage network, there is a dire need of in-depth mathematical and technical calculations for each electrical equipment involved in the modeling of a distribution grid. In this study, a time- and resource-efficient distribution grid model is proposed, which is capable of improving power-quality impact of electric vehicle charging infrastructure. The proposed method uses mathematical equations, field measurement, data from equipment manufacturers, and distribution network operators to develop precise distribution grid model for the integration of bidirectional electric vehicle charging infrastructure. To prove the effectiveness of the proposed model, power-quality analysis of electric vehicle charging stations is conducted in the MATLAB/Simulink environment. As a result, the grid voltage THD has improved to 0.05% while the grid-connected current THD obtained is 0.88%. This signifies that by varying selection of technical parameters of electrical components of a distribution grid, power losses resulting in the form of harmonics can be improved.

Suggested Citation

  • Anum Mehmood & Fan Yang, 2025. "Improvement of Power Quality of Grid-Connected EV Charging Station Using Grid-Component Based Harmonic Mitigation Technique," Energies, MDPI, vol. 18(11), pages 1-27, May.
    • Handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2876-:d:1668864
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/18/11/2876/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/18/11/2876/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Joanna Baraniak & Jacek Starzyński, 2020. "Modeling the Impact of Electric Vehicle Charging Systems on Electric Power Quality," Energies, MDPI, vol. 13(15), pages 1-13, August.
    2. Tuballa, Maria Lorena & Abundo, Michael Lochinvar, 2016. "A review of the development of Smart Grid technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 710-725.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bossink, Bart A.G., 2017. "Demonstrating sustainable energy: A review based model of sustainable energy demonstration projects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1349-1362.
    2. MHD Nour Hindia & Faizan Qamar & Mohammad B. Majed & Tharek Abd Rahman & Iraj S. Amiri, 2019. "Enabling remote-control for the power sub-stations over LTE-A networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 70(1), pages 37-53, January.
    3. Zhang, Yang & Yang, Qingyu & Li, Donghe & An, Dou, 2022. "A reinforcement and imitation learning method for pricing strategy of electricity retailer with customers’ flexibility," Applied Energy, Elsevier, vol. 323(C).
    4. Choi, Kwang Hun & Kwon, Gyu Hyun, 2023. "Strategies for sensing innovation opportunities in smart grids: In the perspective of interactive relationships between science, technology, and business," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    5. Chen, Yuxin & Sun, Yongjun & Yang, Jinling & Tan, Jiaqi & Liu, Yang & Gao, Dian-ce, 2024. "Demand response with PCM-based pipe-embedded wall in commercial buildings: Combined passive and active energy storage in envelopes," Energy, Elsevier, vol. 308(C).
    6. Lefeng, Shi & Shengnan, Lv & Chunxiu, Liu & Yue, Zhou & Cipcigan, Liana & Acker, Thomas L., 2020. "A framework for electric vehicle power supply chain development," Utilities Policy, Elsevier, vol. 64(C).
    7. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
    8. Israa T. Aziz & Hai Jin & Ihsan H. Abdulqadder & Sabah M. Alturfi & Wisam H. Alobaidi & Firas M.F. Flaih, 2019. "T 2 S 2 G: A Novel Two-Tier Secure Smart Grid Architecture to Protect Network Measurements," Energies, MDPI, vol. 12(13), pages 1-24, July.
    9. Kaiss, Mateus & Wan, Yihao & Gebbran, Daniel & Vila, Clodomiro Unsihuay & Dragičević, Tomislav, 2025. "Review on Virtual Power Plants/Virtual Aggregators: Concepts, applications, prospects and operation strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 211(C).
    10. Wang, Linyuan & Zhao, Lin & Mao, Guozhu & Zuo, Jian & Du, Huibin, 2017. "Way to accomplish low carbon development transformation: A bibliometric analysis during 1995–2014," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 57-69.
    11. Milchram, Christine & Hillerbrand, Rafaela & van de Kaa, Geerten & Doorn, Neelke & Künneke, Rolf, 2018. "Energy Justice and Smart Grid Systems: Evidence from the Netherlands and the United Kingdom," Applied Energy, Elsevier, vol. 229(C), pages 1244-1259.
    12. Radecke, Julia & Hefele, Joseph & Hirth, Lion, 2019. "Markets for Local Flexibility in Distribution Networks," EconStor Preprints 204559, ZBW - Leibniz Information Centre for Economics.
    13. Tu, Chunming & He, Xi & Shuai, Zhikang & Jiang, Fei, 2017. "Big data issues in smart grid – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1099-1107.
    14. Kris Scicluna & Brian Azzopardi & Kurt Spiteri, 2023. "Power Quality Analysis for Light-Duty Electric Vehicles: A Case Study in Malta," Energies, MDPI, vol. 16(15), pages 1-13, July.
    15. Matthew Gough & Sérgio F. Santos & Mohammed Javadi & Rui Castro & João P. S. Catalão, 2020. "Prosumer Flexibility: A Comprehensive State-of-the-Art Review and Scientometric Analysis," Energies, MDPI, vol. 13(11), pages 1-32, May.
    16. Zhou, Mengyu & Liu, Xingwen & Hu, Qi & Shu, Feng, 2025. "Analysis and control of demand response in smart grids: An evolutionary game method," Applied Mathematics and Computation, Elsevier, vol. 488(C).
    17. Ajlan, Abdullah & Tan, Chee Wei & Abdilahi, Abdirahman Mohamed, 2017. "Assessment of environmental and economic perspectives for renewable-based hybrid power system in Yemen," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 559-570.
    18. Mihai Horia Zaharia, 2017. "A Multiagent Approach to Database Migration for Big Data Systems," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 159-180, July.
    19. Connor, P.M. & Axon, C.J. & Xenias, D. & Balta-Ozkan, N., 2018. "Sources of risk and uncertainty in UK smart grid deployment: An expert stakeholder analysis," Energy, Elsevier, vol. 161(C), pages 1-9.
    20. Syed Ali Abbas Kazmi & Muhammad Khuram Shahzad & Akif Zia Khan & Dong Ryeol Shin, 2017. "Smart Distribution Networks: A Review of Modern Distribution Concepts from a Planning Perspective," Energies, MDPI, vol. 10(4), pages 1-47, April.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:18:y:2025:i:11:p:2876-:d:1668864. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.