IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i4p1146-d503310.html
   My bibliography  Save this article

Improved Control Strategy for Three-Phase Microgrid Management with Electric Vehicles Using Multi Objective Optimization Algorithm

Author

Listed:
  • Muhammad Shahab

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    Current address: School of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.)

  • Shaorong Wang

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China
    Current address: School of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan 430074, China.)

  • Abdul Khalique Junejo

    (State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

The usage of electric vehicles (EV) have been spreading worldwide, not only as an alternative to achieve a low-carbon future but also to provide ancillary services to improve the power system reliability. A common problem encountered in the existing alternating current (AC) grids is low power factor, which cause several power quality problems and has worsened with the growing application of distributed generation (DG). Therefore, considering the spread of EVs usage for ancillary services and the low power factor issue in current electrical grids, this paper proposes an improved control strategy for power factor correction of a three-phase microgrid management composed of a photovoltaic (PV) array, dynamic loads, and an EV parking lot. This control strategy aims to support power factor issues using the EV charging stations, allowing the full PV generation. Different operation modes are proposed to fulfill the microgrid and the EV users’ requirements, characterizing a Multi Objective Optimization (MOO) approach. In order to achieve these optimization requests, a dynamic programming method is used to charge the vehicle while adjusting the microgrid power factor. The proposed control algorithm is verified in different scenarios, and its results indicate a suitable performance for the microgrid even during conditions of overload and high peak power surplus in generation unit. The microgrid power factor remains above the desired reference during the entire analyzed period, in which the error is approximately 4.5 less than the system without vehicles, as well as obtains an energy price reduction.

Suggested Citation

  • Muhammad Shahab & Shaorong Wang & Abdul Khalique Junejo, 2021. "Improved Control Strategy for Three-Phase Microgrid Management with Electric Vehicles Using Multi Objective Optimization Algorithm," Energies, MDPI, vol. 14(4), pages 1-23, February.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:4:p:1146-:d:503310
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/4/1146/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/4/1146/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chao-Tsung Ma, 2019. "System Planning of Grid-Connected Electric Vehicle Charging Stations and Key Technologies: A Review," Energies, MDPI, vol. 12(21), pages 1-22, November.
    2. Fazel Mohammadi & Gholam-Abbas Nazri & Mehrdad Saif, 2019. "A Bidirectional Power Charging Control Strategy for Plug-in Hybrid Electric Vehicles," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    3. Edivan Laercio Carvalho & Luiz Henrique Meneghetti & Emerson Giovani Carati & Jean Patric da Costa & Carlos Marcelo de Oliveira Stein & Rafael Cardoso, 2020. "Asymmetrical Pulse-Width Modulation Strategy for Current-Fed Dual Active Bridge Bidirectional Isolated Converter Applied to Energy Storage Systems," Energies, MDPI, vol. 13(13), pages 1-22, July.
    4. Fermín Barrero-González & María Isabel Milanés-Montero & Eva González-Romera & Enrique Romero-Cadaval & Carlos Roncero-Clemente, 2019. "Control Strategy for Electric Vehicle Charging Station Power Converters with Active Functions," Energies, MDPI, vol. 12(20), pages 1-18, October.
    5. Morsy Nour & José Pablo Chaves-Ávila & Gaber Magdy & Álvaro Sánchez-Miralles, 2020. "Review of Positive and Negative Impacts of Electric Vehicles Charging on Electric Power Systems," Energies, MDPI, vol. 13(18), pages 1-34, September.
    6. Tawfiq M. Aljohani & Ahmed F. Ebrahim & Osama Mohammed, 2020. "Hybrid Microgrid Energy Management and Control Based on Metaheuristic-Driven Vector-Decoupled Algorithm Considering Intermittent Renewable Sources and Electric Vehicles Charging Lot," Energies, MDPI, vol. 13(13), pages 1-19, July.
    7. Woon-Gyu Lee & Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2018. "Low-Voltage Ride-Through Operation of Grid-Connected Microgrid Using Consensus-Based Distributed Control," Energies, MDPI, vol. 11(11), pages 1-18, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daud Mustafa Minhas & Josef Meiers & Georg Frey, 2022. "Electric Vehicle Battery Storage Concentric Intelligent Home Energy Management System Using Real Life Data Sets," Energies, MDPI, vol. 15(5), pages 1-29, February.
    2. Kaiye Gao & Tianshi Wang & Chenjing Han & Jinhao Xie & Ye Ma & Rui Peng, 2021. "A Review of Optimization of Microgrid Operation," Energies, MDPI, vol. 14(10), pages 1-39, May.
    3. Umar Salman & Khalid Khan & Fahad Alismail & Muhammad Khalid, 2021. "Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    4. Md Masud Rana & Mohamed Atef & Md Rasel Sarkar & Moslem Uddin & GM Shafiullah, 2022. "A Review on Peak Load Shaving in Microgrid—Potential Benefits, Challenges, and Future Trend," Energies, MDPI, vol. 15(6), pages 1-17, March.
    5. Luiz Almeida & Ana Soares & Pedro Moura, 2023. "A Systematic Review of Optimization Approaches for the Integration of Electric Vehicles in Public Buildings," Energies, MDPI, vol. 16(13), pages 1-26, June.
    6. Bingyin Lei & Yue Ren & Huiyu Luan & Ruonan Dong & Xiuyuan Wang & Junli Liao & Shu Fang & Kaiye Gao, 2023. "A Review of Optimization for System Reliability of Microgrid," Mathematics, MDPI, vol. 11(4), pages 1-30, February.
    7. Grzegorz Karoń, 2022. "Energy in Smart Urban Transportation with Systemic Use of Electric Vehicles," Energies, MDPI, vol. 15(15), pages 1-5, August.
    8. Sheeraz Iqbal & Salman Habib & Noor Habib Khan & Muhammad Ali & Muhammad Aurangzeb & Emad M. Ahmed, 2022. "Electric Vehicles Aggregation for Frequency Control of Microgrid under Various Operation Conditions Using an Optimal Coordinated Strategy," Sustainability, MDPI, vol. 14(5), pages 1-25, March.

    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. Ali Jawad Alrubaie & Mohamed Salem & Khalid Yahya & Mahmoud Mohamed & Mohamad Kamarol, 2023. "A Comprehensive Review of Electric Vehicle Charging Stations with Solar Photovoltaic System Considering Market, Technical Requirements, Network Implications, and Future Challenges," Sustainability, MDPI, vol. 15(10), pages 1-26, May.
    2. Natascia Andrenacci & Roberto Ragona & Antonino Genovese, 2020. "Evaluation of the Instantaneous Power Demand of an Electric Charging Station in an Urban Scenario," Energies, MDPI, vol. 13(11), pages 1-19, May.
    3. Elutunji Buraimoh & Anuoluwapo O. Aluko & Oluwafemi E. Oni & Innocent E. Davidson, 2022. "Decentralized Virtual Impedance- Conventional Droop Control for Power Sharing for Inverter-Based Distributed Energy Resources of a Microgrid," Energies, MDPI, vol. 15(12), pages 1-16, June.
    4. Chaiyan Jettanasen & Atthapol Ngaopitakkul, 2019. "The Conducted Emission Attenuation of Micro-Inverters for Nanogrid Systems," Sustainability, MDPI, vol. 12(1), pages 1-31, December.
    5. Younes Zahraoui & Ibrahim Alhamrouni & Saad Mekhilef & M. Reyasudin Basir Khan & Mehdi Seyedmahmoudian & Alex Stojcevski & Ben Horan, 2021. "Energy Management System in Microgrids: A Comprehensive Review," Sustainability, MDPI, vol. 13(19), pages 1-33, September.
    6. Georg Göhler & Anna-Lena Klingler & Florian Klausmann & Dieter Spath, 2021. "Integrated Modelling of Decentralised Energy Supply in Combination with Electric Vehicle Charging in a Real-Life Case Study," Energies, MDPI, vol. 14(21), pages 1-19, October.
    7. Lucas V. Bellinaso & Edivan L. Carvalho & Rafael Cardoso & Leandro Michels, 2021. "Price-Response Matrices Design Methodology for Electrical Energy Management Systems Based on DC Bus Signalling," Energies, MDPI, vol. 14(6), pages 1-19, March.
    8. Hyun Shin & Sang Heon Chae & Eel-Hwan Kim, 2020. "Design of Microgrid Protection Schemes Using PSCAD/EMTDC and ETAP Programs," Energies, MDPI, vol. 13(21), pages 1-19, November.
    9. Arash Moradzadeh & Sahar Zakeri & Maryam Shoaran & Behnam Mohammadi-Ivatloo & Fazel Mohammadi, 2020. "Short-Term Load Forecasting of Microgrid via Hybrid Support Vector Regression and Long Short-Term Memory Algorithms," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    10. Despoina Kothona & Aggelos S. Bouhouras, 2022. "A Two-Stage EV Charging Planning and Network Reconfiguration Methodology towards Power Loss Minimization in Low and Medium Voltage Distribution Networks," Energies, MDPI, vol. 15(10), pages 1-17, May.
    11. Rajanand Patnaik Narasipuram & Subbarao Mopidevi, 2023. "A Novel Hybrid Control Strategy and Dynamic Performance Enhancement of a 3.3 kW GaN–HEMT-Based iL 2 C Resonant Full-Bridge DC–DC Power Converter Methodology for Electric Vehicle Charging Systems," Energies, MDPI, vol. 16(15), pages 1-22, August.
    12. Mauro Zucca & Vincenzo Cirimele & Jorge Bruna & Davide Signorino & Erika Laporta & Jacopo Colussi & Miguel Angel Alonso Tejedor & Federico Fissore & Umberto Pogliano, 2021. "Assessment of the Overall Efficiency in WPT Stations for Electric Vehicles," Sustainability, MDPI, vol. 13(5), pages 1-19, February.
    13. Jelena Loncarski & Vito Giuseppe Monopoli & Giuseppe Leonardo Cascella & Francesco Cupertino, 2020. "SiC-MOSFET and Si-IGBT-Based dc-dc Interleaved Converters for EV Chargers: Approach for Efficiency Comparison with Minimum Switching Losses Based on Complete Parasitic Modeling," Energies, MDPI, vol. 13(17), pages 1-20, September.
    14. Qun Niu & Kecheng Jiang & Zhile Yang, 2019. "An Improved, Negatively Correlated Search for Solving the Unit Commitment Problem’s Integration with Electric Vehicles," Sustainability, MDPI, vol. 11(24), pages 1-21, December.
    15. Sanchari Deb & Xiao-Zhi Gao, 2022. "Prediction of Charging Demand of Electric City Buses of Helsinki, Finland by Random Forest," Energies, MDPI, vol. 15(10), pages 1-18, May.
    16. Mowry, Andrew M. & Mallapragada, Dharik S., 2021. "Grid impacts of highway electric vehicle charging and role for mitigation via energy storage," Energy Policy, Elsevier, vol. 157(C).
    17. Hong Li & Yang Liu & Jianfeng Yang, 2021. "A Novel FCS-MPC Method of Multi-Level APF Is Proposed to Improve the Power Quality in Renewable Energy Generation Connected to the Grid," Sustainability, MDPI, vol. 13(8), pages 1-14, April.
    18. Miguel Carrión & Rafael Zárate-Miñano & Ruth Domínguez, 2020. "Integration of Electric Vehicles in Low-Voltage Distribution Networks Considering Voltage Management," Energies, MDPI, vol. 13(16), pages 1-23, August.
    19. Yuri Bulatov & Andrey Kryukov & Konstantin Suslov, 2022. "Simulation of Power Router-Based DC Distribution Systems with Distributed Generation and Energy Storage Units," Energies, MDPI, vol. 16(1), pages 1-16, December.
    20. Andrea Mazza & Giorgio Benedetto & Ettore Bompard & Claudia Nobile & Enrico Pons & Paolo Tosco & Marco Zampolli & Rémi Jaboeuf, 2023. "Interaction among Multiple Electric Vehicle Chargers: Measurements on Harmonics and Power Quality Issues," Energies, MDPI, vol. 16(20), pages 1-17, October.

    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:14:y:2021:i:4:p:1146-:d:503310. 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.