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An Energy Management System-Based Control Strategy for DC Microgrids with Dual Energy Storage Systems

Author

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  • Subarto Kumar Ghosh

    (Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh)

  • Tushar Kanti Roy

    (Department of Electronics & Telecommunication Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh)

  • Md Abu Hanif Pramanik

    (Department of Electrical & Computer Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh)

  • Ajay Krishno Sarkar

    (Department of Electrical & Electronic Engineering, Rajshahi University of Engineering & Technology, Rajshahi 6204, Bangladesh)

  • Md. Apel Mahmud

    (School of Engineering, Deakin University, Geelong, VIC 3216, Australia)

Abstract

In this work, a control strategy is developed for different components in DC microgrids where set points for all controllers are determined from an energy management system (EMS). The proposed EMS-based control scheme is developed for DC microgrids with solar photovoltaic (PV) systems as the primary generation units along with energy storage systems. In this work, the concept of dual energy storage systems (DESSs) is used, which includes a battery energy storage system (BESS) and supercapacitor (SC). The main feature of this DESS is to improve the dynamic performance of DC microgrids during severe transients appearing from changes in load demands as well as in the output power from solar PV units. Furthermore, the proposed EMS-based control scheme aims to enhance the lifetime of the BESS in DC microgrids with DESSs and voltage stability as compared to the same without SCs. The proposed EMS-based control strategy uses proportional-integral (PI) controllers to regulate the switching control actions for different converters within the DC microgrid based on the decision obtained from the EMS in order to achieve the desired control objectives. The performance of the proposed scheme was analyzed through simulation results in terms of improving the voltage stability, maintaining the power balance, and enhancing the lifetime of BESSs within a DC microgrid framework incorporated with the DESS. The simulations are carried out in the MATLAB/SIMULINK simulation platform and compared with a similar approach having only a single energy storage system, i.e., the BESS.

Suggested Citation

  • Subarto Kumar Ghosh & Tushar Kanti Roy & Md Abu Hanif Pramanik & Ajay Krishno Sarkar & Md. Apel Mahmud, 2020. "An Energy Management System-Based Control Strategy for DC Microgrids with Dual Energy Storage Systems," Energies, MDPI, vol. 13(11), pages 1-16, June.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:11:p:2992-:d:369679
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    References listed on IDEAS

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    1. Stephen Whaite & Brandon Grainger & Alexis Kwasinski, 2015. "Power Quality in DC Power Distribution Systems and Microgrids," Energies, MDPI, vol. 8(5), pages 1-22, May.
    2. Chul-Sang Hwang & Eung-Sang Kim & Yun-Su Kim, 2016. "A Decentralized Control Method for Distributed Generations in an Islanded DC Microgrid Considering Voltage Drop Compensation and Durable State of Charge," Energies, MDPI, vol. 9(12), pages 1-13, December.
    3. Most Nahida Akter & Md Apel Mahmud & Amanullah Maung Than Oo, 2017. "A Hierarchical Transactive Energy Management System for Energy Sharing in Residential Microgrids," Energies, MDPI, vol. 10(12), pages 1-27, December.
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    Cited by:

    1. Gustavo Navarro & Jorge Torres & Marcos Blanco & Jorge Nájera & Miguel Santos-Herran & Marcos Lafoz, 2021. "Present and Future of Supercapacitor Technology Applied to Powertrains, Renewable Generation and Grid Connection Applications," Energies, MDPI, vol. 14(11), pages 1-29, May.
    2. Sabrina Yeasmin & Tushar Kanti Roy & Subarto Kumar Ghosh, 2022. "Design of Robust Integral Terminal Sliding Mode Controllers with Exponential Reaching Laws for Solar PV and BESS-Based DC Microgrids with Uncertainties," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    3. Tanqi Xu & Maojie Lei & Wenzhu Liu & Fanying Meng & Dongxiang Lv & Wentao Hu & Liping Zhang & Chuan Li & Zhengxin Liu, 2023. "Energy Balance in a Standalone PV Battery Hybrid Generation System on Solar-Powered Aircraft Using the Model Predictive Control Method," Energies, MDPI, vol. 16(17), pages 1-15, August.
    4. Subarto Kumar Ghosh & Tushar Kanti Roy & Md. Abu Hanif Pramanik & Md. Apel Mahmud, 2021. "Design of Nonlinear Backstepping Double-Integral Sliding Mode Controllers to Stabilize the DC-Bus Voltage for DC–DC Converters Feeding CPLs," Energies, MDPI, vol. 14(20), pages 1-16, October.
    5. Yuri Bulatov & Andrey Kryukov & Konstantin Suslov, 2022. "Simulation of Power Router-Based DC Distribution Systems with Distributed Generation and Energy Storage Units," Energies, MDPI, vol. 16(1), pages 1-16, December.

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