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Performance Enhancement of an Islanded Microgrid with the Support of Electrical Vehicle and STATCOM Systems

Author

Listed:
  • Omar Makram Kamel

    (Electrical and Computer Department, Higher Institute of Engineering and Technology New El Minia, Minia 61111, Egypt)

  • Ahmed A. Zaki Diab

    (Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61517, Egypt)

  • Mohamed Metwally Mahmoud

    (Department of Electrical Engineering, Faculty of Energy Engineering, Aswan University, Aswan 81528, Egypt)

  • Ameena Saad Al-Sumaiti

    (Department of Electrical Engineering and Computer Science, Advanced Power and Energy Center, Khalifa University, Abu Dhabi 127788, United Arab Emirates)

  • Hamdy M. Sultan

    (Department of Electrical Engineering, Faculty of Engineering, Minia University, Minia 61517, Egypt)

Abstract

Modern electrical power systems now require the spread of microgrids (MG), where they would be operating in either islanded mode or grid-connected mode. An inherent mismatch between loads and sources is introduced by changeable high renewable share in an islanded MG system with stochastic load demands. The system frequency is directly impacted by this mismatch, which can be alleviated by incorporating cutting-edge energy storage technologies and FACTS tools. The investigated islanded MG system components are wind farm, solar PV, Electric vehicles (EVs), loads, DSTATCOM, and diesel power generator. An aggregated EVs model is connected to the MG during uncertain periods of the generation of renewable energy (PV and wind) to support the performance of MGs. The ability to support ancillary services from the EVs is checked. DSTATCOM is used to provide voltage stability for the MG during congestion situations. The MG is studied in three scenarios: the first scenario MG without EVs and DSTATCOM, the second scenario MG without DSTATCOM, and the third scenario MG with all components. These scenarios are addressed to show the role of EVs and DSTATCOM, and the results in the third scenario are the best. The system voltage and frequency profile is the best in the last scenario and is entirely satisfactory and under the range of the IEEE standard. The obtained results show that both EVs and DSTATCOM are important units for improving the stability of modern power grids. The Matlab/Simulink program is considered for checking and validating the dynamic performance of the proposed configuration.

Suggested Citation

  • Omar Makram Kamel & Ahmed A. Zaki Diab & Mohamed Metwally Mahmoud & Ameena Saad Al-Sumaiti & Hamdy M. Sultan, 2023. "Performance Enhancement of an Islanded Microgrid with the Support of Electrical Vehicle and STATCOM Systems," Energies, MDPI, vol. 16(4), pages 1-19, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1577-:d:1057951
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    References listed on IDEAS

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    1. Oussama Ouramdane & Elhoussin Elbouchikhi & Yassine Amirat & Ehsan Sedgh Gooya, 2021. "Optimal Sizing and Energy Management of Microgrids with Vehicle-to-Grid Technology: A Critical Review and Future Trends," Energies, MDPI, vol. 14(14), pages 1-45, July.
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    7. Marqusee, Jeffrey & Ericson, Sean & Jenket, Don, 2021. "Impact of emergency diesel generator reliability on microgrids and building-tied systems," Applied Energy, Elsevier, vol. 285(C).
    8. Furat Dawood & GM Shafiullah & Martin Anda, 2020. "Stand-Alone Microgrid with 100% Renewable Energy: A Case Study with Hybrid Solar PV-Battery-Hydrogen," Sustainability, MDPI, vol. 12(5), pages 1-17, March.
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    Cited by:

    1. Zaid Hamid Abdulabbas Al-Tameemi & Tek Tjing Lie & Ramon Zamora & Frede Blaabjerg, 2024. "Enhanced Coordination in the PV–HESS Microgrids Cluster: Introducing a New Distributed Event Consensus Algorithm," Energies, MDPI, vol. 17(2), pages 1-21, January.
    2. Rasha Kassem & Mohamed Metwally Mahmoud & Nagwa F. Ibrahim & Abdulaziz Alkuhayli & Usama Khaled & Abderrahmane Beroual & Hedra Saleeb, 2024. "A Techno-Economic-Environmental Feasibility Study of Residential Solar Photovoltaic/Biomass Power Generation for Rural Electrification: A Real Case Study," Sustainability, MDPI, vol. 16(5), pages 1-24, February.
    3. Shruti Singh & David Wenzhong Gao, 2023. "Comparison amongst Lagrange, Firefly, and ABC Algorithms for Low-Noise Economic Dispatch and Reactive Power Compensation in Islanded Microgrids," Energies, MDPI, vol. 16(13), pages 1-19, July.
    4. Angelos Patsidis & Adam Dyśko & Campbell Booth & Anastasios Oulis Rousis & Polyxeni Kalliga & Dimitrios Tzelepis, 2023. "Digital Architecture for Monitoring and Operational Analytics of Multi-Vector Microgrids Utilizing Cloud Computing, Advanced Virtualization Techniques, and Data Analytics Methods," Energies, MDPI, vol. 16(16), pages 1-19, August.
    5. Hussain A. Alhaiz & Ahmed S. Alsafran & Ali H. Almarhoon, 2023. "Single-Phase Microgrid Power Quality Enhancement Strategies: A Comprehensive Review," Energies, MDPI, vol. 16(14), pages 1-28, July.

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