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Cooperative Energy Management of Hybrid DC Renewable Grid Using Decentralized Control Strategies

Author

Listed:
  • Mehrdad Beykverdi

    (Department of Electrical Engineering, Science and Research Branch, Islamic Azad University, Tehran 15785, Iran)

  • Abolfazl Jalilvand

    (Department of Electrical Engineering, University of Zanjan, Zanjan 45195, Iran)

  • Mehdi Ehsan

    (Department of Electrical Engineering, Sharif University of Technology, Tehran 11155, Iran)

Abstract

This paper attempted to control a hybrid DC microgrid in islanded operation mode using decentralized power management strategies. Proposed adaptive I/V characteristic for hybrid photovoltaic (PV) and battery energy storage system (BESS) and wind turbine generator (WTG) adapts the distributed energy resources (DER) behavior independently in accordance with the load demand. Hence, the PV module can spend its maximum power on load demand and spend the extra power for charging the BESS, which will regulate DC bus voltage and maintain the power balance within the microgrid. When load demand is beyond the maximum generation power of PV unit, WTG will supply the energy shortage. The proposed control system was applied on the DC microgrid in order to achieve control objectives through a decentralized procedure, without telecommunication links. In order to validate the proposed strategies, the control system was implemented on a DC microgrid within MATLAB/SIMULINK, where the simulation results were analyzed and validated.

Suggested Citation

  • Mehrdad Beykverdi & Abolfazl Jalilvand & Mehdi Ehsan, 2016. "Cooperative Energy Management of Hybrid DC Renewable Grid Using Decentralized Control Strategies," Energies, MDPI, vol. 9(11), pages 1-18, October.
  • Handle: RePEc:gam:jeners:v:9:y:2016:i:11:p:859-:d:81288
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    Citations

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    Cited by:

    1. Alfredo Padilla-Medina & Francisco Perez-Pinal & Alonso Jimenez-Garibay & Antonio Vazquez-Lopez & Juan Martinez-Nolasco, 2020. "Design and Implementation of an Energy-Management System for a Grid-Connected Residential DC Microgrid," Energies, MDPI, vol. 13(16), pages 1-30, August.
    2. Kamil Khan & Ahmad Kamal & Abdul Basit & Tanvir Ahmad & Haider Ali & Anwar Ali, 2019. "Economic Load Dispatch of a Grid-Tied DC Microgrid Using the Interior Search Algorithm," Energies, MDPI, vol. 12(4), pages 1-13, February.
    3. Ayman Al-Quraan & Muhannad Al-Qaisi, 2021. "Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System," Energies, MDPI, vol. 14(16), pages 1-23, August.
    4. Dae-Jin Kim & Kyung-Sang Ryu & Hee-Sang Ko & Byungki Kim, 2020. "Optimal Operation Strategy of ESS for EV Charging Infrastructure for Voltage Stabilization in a Secondary Feeder of a Distribution System," Energies, MDPI, vol. 13(1), pages 1-22, January.
    5. Miloud Rezkallah & Sanjeev Singh & Ambrish Chandra & Bhim Singh & Hussein Ibrahim, 2020. "Off-Grid System Configurations for Coordinated Control of Renewable Energy Sources," Energies, MDPI, vol. 13(18), pages 1-25, September.
    6. Iulia Stamatescu & Nicoleta Arghira & Ioana Făgărăşan & Grigore Stamatescu & Sergiu Stelian Iliescu & Vasile Calofir, 2017. "Decision Support System for a Low Voltage Renewable Energy System," Energies, MDPI, vol. 10(1), pages 1-15, January.

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