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Multi-Agent-Based Controller for Voltage Enhancement in AC/DC Hybrid Microgrid Using Energy Storages

Author

Listed:
  • Ahmadali Khatibzadeh

    (Electrical and Electronic Engineering Department, Shahed University, 3319118651 Tehran, Iran)

  • Mohammadreza Besmi

    (Electrical and Electronic Engineering Department, Shahed University, 3319118651 Tehran, Iran)

  • Aminollah Mahabadi

    (Computer Engineering Department, Shahed University, 3319118651 Tehran, Iran)

  • Mahmoud Reza Haghifam

    (Department of Electrical and Computer Engineering, Tarbiat Modares University, 14115-111 Tehran, Iran)

Abstract

Development of renewable energies and DC loads have led microgrids toward the creation of DC networks. The predictions show that the hybrid microgrids will be used widely in the future. This article has studied the voltage stability in the presence of sources of energy storage in AC/DC hybrid networks. However, because the different dynamics of hybrid networks applying centralized and distributed controllers will be faced with different problems, in this study, a multi-agent control for the microgrid has been used. A new structure referred to here as an event-driven microgrid control management (EDMCM) has been developed to control the microgrid. This method increases response speed and accuracy of decision making. Hybrid Network Simulation results confirm the validity of the developed model.

Suggested Citation

  • Ahmadali Khatibzadeh & Mohammadreza Besmi & Aminollah Mahabadi & Mahmoud Reza Haghifam, 2017. "Multi-Agent-Based Controller for Voltage Enhancement in AC/DC Hybrid Microgrid Using Energy Storages," Energies, MDPI, vol. 10(2), pages 1-17, February.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:2:p:169-:d:89302
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    References listed on IDEAS

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    1. Lagorse, Jeremy & Paire, Damien & Miraoui, Abdellatif, 2010. "A multi-agent system for energy management of distributed power sources," Renewable Energy, Elsevier, vol. 35(1), pages 174-182.
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    Cited by:

    1. Silvia Marzal & Raul González-Medina & Robert Salas-Puente & Emilio Figueres & Gabriel Garcerá, 2017. "A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids," Energies, MDPI, vol. 10(9), pages 1-25, August.
    2. Xiao Qi & Yan Bai & Huanhuan Luo & Yiqing Zhang & Guiping Zhou & Zhonghua Wei, 2018. "Novel Distributed Optimal Control of Battery Energy Storage System in an Islanded Microgrid with Fast Frequency Recovery," Energies, MDPI, vol. 11(8), pages 1-18, July.
    3. Óscar Gonzales-Zurita & Jean-Michel Clairand & Elisa Peñalvo-López & Guillermo Escrivá-Escrivá, 2020. "Review on Multi-Objective Control Strategies for Distributed Generation on Inverter-Based Microgrids," Energies, MDPI, vol. 13(13), pages 1-29, July.
    4. Omid Abrishambaf & Pedro Faria & Luis Gomes & João Spínola & Zita Vale & Juan M. Corchado, 2017. "Implementation of a Real-Time Microgrid Simulation Platform Based on Centralized and Distributed Management," Energies, MDPI, vol. 10(6), pages 1-14, June.
    5. Akhtar Hussain & Van-Hai Bui & Hak-Man Kim, 2017. "Impact Analysis of Demand Response Intensity and Energy Storage Size on Operation of Networked Microgrids," Energies, MDPI, vol. 10(7), pages 1-19, June.

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