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A Review of Advanced Control Strategies of Microgrids with Charging Stations

Author

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  • Matej Tkac

    (Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia)

  • Martina Kajanova

    (Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia)

  • Peter Bracinik

    (Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia)

Abstract

In the context of the global drive towards sustainability and rapid integration of renewables, electric vehicles, and charging infrastructure, the need arises for advanced operational strategies that support the grid while managing the intermittent nature of these resources. Microgrids emerge as a solution, operating independently or alongside the main grid to facilitate power flow management among interconnected sources and different loads locally. This review paper aims to offer a comprehensive overview of the different control strategies proposed in the literature to control microgrids with electric vehicle charging stations. The surveyed research is primarily categorized according to the employed control algorithms, although distinctions are also made based on defined microgrid architecture, utilization of specific power sources, and charging stations configurations. Additionally, this paper identifies research gaps in the current research. These gaps encompass the use of oversimplified models for charging stations and/or renewable sources operation, limited simulation time periods, or lack of experimental testing of proposed approaches. In the light of these identified shortcomings, this manuscript presents recommendations for guiding future research.

Suggested Citation

  • Matej Tkac & Martina Kajanova & Peter Bracinik, 2023. "A Review of Advanced Control Strategies of Microgrids with Charging Stations," Energies, MDPI, vol. 16(18), pages 1-25, September.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:18:p:6692-:d:1242617
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    References listed on IDEAS

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    1. Virginia Casella & Daniel Fernandez Valderrama & Giulio Ferro & Riccardo Minciardi & Massimo Paolucci & Luca Parodi & Michela Robba, 2022. "Towards the Integration of Sustainable Transportation and Smart Grids: A Review on Electric Vehicles’ Management," Energies, MDPI, vol. 15(11), pages 1-23, May.
    2. Dominic Savio Abraham & Balaji Chandrasekar & Narayanamoorthi Rajamanickam & Pradeep Vishnuram & Venkatesan Ramakrishnan & Mohit Bajaj & Marian Piecha & Vojtech Blazek & Lukas Prokop, 2023. "Fuzzy-Based Efficient Control of DC Microgrid Configuration for PV-Energized EV Charging Station," Energies, MDPI, vol. 16(6), pages 1-17, March.
    3. Fabrice Locment & Manuela Sechilariu, 2015. "Modeling and Simulation of DC Microgrids for Electric Vehicle Charging Stations," Energies, MDPI, vol. 8(5), pages 1-22, May.
    4. Muhammad Awais & Laiq Khan & Said Ghani Khan & Qasim Awais & Mohsin Jamil, 2023. "Adaptive Neural Network Q-Learning-Based Full Recurrent Adaptive NeuroFuzzy Nonlinear Control Paradigms for Bidirectional-Interlinking Converter in a Grid-Connected Hybrid AC-DC Microgrid," Energies, MDPI, vol. 16(4), pages 1-40, February.
    5. García-Triviño, Pablo & Torreglosa, Juan P. & Fernández-Ramírez, Luis M. & Jurado, Francisco, 2016. "Control and operation of power sources in a medium-voltage direct-current microgrid for an electric vehicle fast charging station with a photovoltaic and a battery energy storage system," Energy, Elsevier, vol. 115(P1), pages 38-48.
    6. Seyfettin Vadi & Sanjeevikumar Padmanaban & Ramazan Bayindir & Frede Blaabjerg & Lucian Mihet-Popa, 2019. "A Review on Optimization and Control Methods Used to Provide Transient Stability in Microgrids," Energies, MDPI, vol. 12(18), pages 1-20, September.
    7. Jiao, Feixiang & Zou, Yuan & Zhang, Xudong & Zhang, Bin, 2022. "Online optimal dispatch based on combined robust and stochastic model predictive control for a microgrid including EV charging station," Energy, Elsevier, vol. 247(C).
    8. Khairy Sayed & Ahmed G. Abo-Khalil & Ali S. Alghamdi, 2019. "Optimum Resilient Operation and Control DC Microgrid Based Electric Vehicles Charging Station Powered by Renewable Energy Sources," Energies, MDPI, vol. 12(22), pages 1-23, November.
    9. Yan, Jie & Menghwar, Mohan & Asghar, Ehtisham & Kumar Panjwani, Manoj & Liu, Yongqian, 2019. "Real-time energy management for a smart-community microgrid with battery swapping and renewables," Applied Energy, Elsevier, vol. 238(C), pages 180-194.
    10. Dominic A. Savio & Vimala A. Juliet & Bharatiraja Chokkalingam & Sanjeevikumar Padmanaban & Jens Bo Holm-Nielsen & Frede Blaabjerg, 2019. "Photovoltaic Integrated Hybrid Microgrid Structured Electric Vehicle Charging Station and Its Energy Management Approach," Energies, MDPI, vol. 12(1), pages 1-28, January.
    11. Wang, Shuoqi & Lu, Languang & Han, Xuebing & Ouyang, Minggao & Feng, Xuning, 2020. "Virtual-battery based droop control and energy storage system size optimization of a DC microgrid for electric vehicle fast charging station," Applied Energy, Elsevier, vol. 259(C).
    12. Luigi Pio di Noia & Fabio Mottola & Daniela Proto & Renato Rizzo, 2022. "Real Time Scheduling of a Microgrid Equipped with Ultra-Fast Charging Stations," Energies, MDPI, vol. 15(3), pages 1-18, January.
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    Cited by:

    1. Farhat Afzah Samoon & Ikhlaq Hussain & Sheikh Javed Iqbal, 2023. "ILA Optimisation Based Control for Enhancing DC Link Voltage with Seamless and Adaptive VSC Control in a PV-BES Based AC Microgrid," Energies, MDPI, vol. 16(21), pages 1-23, October.
    2. Diego Peña & Paul Arevalo & Yadyra Ortiz & Franciso Jurado, 2024. "Survey of Optimization Techniques for Microgrids Using High-Efficiency Converters," Energies, MDPI, vol. 17(15), pages 1-24, July.
    3. Pavel Stanko & Matej Tkac & Martina Kajanova & Marek Roch, 2024. "Impacts of Electric Vehicle Charging Station with Photovoltaic System and Battery Energy Storage System on Power Quality in Microgrid," Energies, MDPI, vol. 17(2), pages 1-22, January.
    4. Alejandro Sanz & Peter Meyer, 2024. "Electrifying the Last-Mile Logistics (LML) in Intensive B2B Operations—An European Perspective on Integrating Innovative Platforms," Logistics, MDPI, vol. 8(2), pages 1-39, April.
    5. Jianhong Hao & Ting Huang & Qiuming Xu & Yi Sun, 2023. "Robust Optimal Scheduling of Microgrid with Electric Vehicles Based on Stackelberg Game," Sustainability, MDPI, vol. 15(24), pages 1-15, December.

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