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Robust Frequency and Voltage Stability Control Strategy for Standalone AC/DC Hybrid Microgrid

Author

Listed:
  • Furqan Asghar

    (School of Electronics and Information Engineering, Kunsan National University, Kunsan 573-540, Korea)

  • Muhammad Talha

    (School of Electronics and Information Engineering, Kunsan National University, Kunsan 573-540, Korea)

  • Sung Ho Kim

    (Department of Control and Robotics Engineering, Kunsan National University, Kunsan 573-540, Korea)

Abstract

The microgrid (MG) concept is attracting considerable attention as a solution to energy deficiencies, especially in remote areas, but the intermittent nature of renewable sources and varying loads cause many control problems and thereby affect the quality of power within a microgrid operating in standalone mode. This might cause large frequency and voltage deviations in the system due to unpredictable output power fluctuations. Furthermore, without any main grid support, it is more complex to control and manage the system. In past, droop control and various other coordination control strategies have been presented to stabilize the microgrid frequency and voltages, but in order to utilize the available resources up to their maximum capacity in a positive way, new and robust control mechanisms are required. In this paper, a standalone microgrid is presented, which integrates renewable energy-based distributed generations and local loads. A fuzzy logic-based intelligent control technique is proposed to maintain the frequency and DC (direct current)-link voltage stability for sudden changes in load or generation power. Also from a frequency control perspective, a battery energy storage system (BESS) is suggested as a replacement for a synchronous generator to stabilize the nominal system frequency as a synchronous generator is unable to operate at its maximum efficiency while being controlled for stabilization purposes. Likewise, a super capacitor (SC) and BESS is used to stabilize DC bus voltages even though maximum possible energy is being extracted from renewable generated sources using maximum power point tracking. This newly proposed control method proves to be effective by reducing transient time, minimizing the frequency deviations, maintaining voltages even though maximum power point tracking is working and preventing generators from exceeding their power ratings during disturbances. However, due to the BESS limited capacity, load switching (load shedding scheme) as last option is also introduced in this paper. Simulation results prove the effectiveness of the proposed control strategy from both frequency and voltage perspectives.

Suggested Citation

  • Furqan Asghar & Muhammad Talha & Sung Ho Kim, 2017. "Robust Frequency and Voltage Stability Control Strategy for Standalone AC/DC Hybrid Microgrid," Energies, MDPI, vol. 10(6), pages 1-20, May.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:6:p:760-:d:100010
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    References listed on IDEAS

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    1. Eneko Unamuno & Jon Andoni Barrena, 2017. "Equivalence of Primary Control Strategies for AC and DC Microgrids," Energies, MDPI, vol. 10(1), pages 1-13, January.
    2. Hong, Chih-Ming & Ou, Ting-Chia & Lu, Kai-Hung, 2013. "Development of intelligent MPPT (maximum power point tracking) control for a grid-connected hybrid power generation system," Energy, Elsevier, vol. 50(C), pages 270-279.
    3. Ou, Ting-Chia & Hong, Chih-Ming, 2014. "Dynamic operation and control of microgrid hybrid power systems," Energy, Elsevier, vol. 66(C), pages 314-323.
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    Cited by:

    1. Giulio Ferro & Michela Robba & Roberto Sacile, 2020. "A Model Predictive Control Strategy for Distribution Grids: Voltage and Frequency Regulation for Islanded Mode Operation," Energies, MDPI, vol. 13(10), pages 1-27, May.
    2. Abdollah Younesi & Hossein Shayeghi & Pierluigi Siano, 2020. "Assessing the Use of Reinforcement Learning for Integrated Voltage/Frequency Control in AC Microgrids," Energies, MDPI, vol. 13(5), pages 1-22, March.
    3. Mehdi Hosseinzadeh & Farzad Rajaei Salmasi, 2020. "Islanding Fault Detection in Microgrids—A Survey," Energies, MDPI, vol. 13(13), pages 1-28, July.
    4. Faran Asghar & Adnan Zahid & Muhammad Imtiaz Hussain & Furqan Asghar & Waseem Amjad & Jun-Tae Kim, 2022. "A Novel Solution for Optimized Energy Management Systems Comprising an AC/DC Hybrid Microgrid System for Industries," Sustainability, MDPI, vol. 14(14), pages 1-19, July.

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