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Design of an advanced energy management system for microgrid control using a state machine

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  • Wang, Jing
  • Zhao, Changhong
  • Pratt, Annabelle
  • Baggu, Murali

Abstract

A state machine is proposed as the solution for an automated microgrid energy management system (EMS) to improve transient performance during transition operations. It characterizes microgrid operation by seven states that cover all the operating modes: two for steady-state operation (grid-connected and islanded), four for transition operation (preparing for disconnection, transitioning to islanding, preparing for reconnection, and transitioning to grid-connected), and one for emergency operation (black-start operation). A unique dispatch algorithm is developed for each state to achieve the control objective, and the transition function is implemented in the state machine as control logics to transition the system from one state to the next. The feasibility and effectiveness of the developed state machine is validated by simulation in MATLAB with an example microgrid, and the test results show excellent performance of the state machine to achieve the target control objective in each state and to improve the system’s transient performance during transition operation.

Suggested Citation

  • Wang, Jing & Zhao, Changhong & Pratt, Annabelle & Baggu, Murali, 2018. "Design of an advanced energy management system for microgrid control using a state machine," Applied Energy, Elsevier, vol. 228(C), pages 2407-2421.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:2407-2421
    DOI: 10.1016/j.apenergy.2018.07.034
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    References listed on IDEAS

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    Cited by:

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    4. Restrepo, Mauricio & Cañizares, Claudio A. & Simpson-Porco, John W. & Su, Peter & Taruc, John, 2021. "Optimization- and Rule-based Energy Management Systems at the Canadian Renewable Energy Laboratory microgrid facility," Applied Energy, Elsevier, vol. 290(C).
    5. Danny Espín-Sarzosa & Rodrigo Palma-Behnke & Oscar Núñez-Mata, 2020. "Energy Management Systems for Microgrids: Main Existing Trends in Centralized Control Architectures," Energies, MDPI, vol. 13(3), pages 1-32, January.
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    7. Jing Wang & Harsha Padullaparti & Fei Ding & Murali Baggu & Martha Symko-Davies, 2021. "Voltage Regulation Performance Evaluation of Distributed Energy Resource Management via Advanced Hardware-in-the-Loop Simulation," Energies, MDPI, vol. 14(20), pages 1-26, October.
    8. Luis Santiago Azuara-Grande & Santiago Arnaltes & Jaime Alonso-Martinez & Jose Luis Rodriguez-Amenedo, 2021. "Comparison of Two Energy Management System Strategies for Real-Time Operation of Isolated Hybrid Microgrids," Energies, MDPI, vol. 14(20), pages 1-15, October.
    9. Aissa Benhammou & Hamza Tedjini & Mohammed Amine Hartani & Rania M. Ghoniem & Ali Alahmer, 2023. "Accurate and Efficient Energy Management System of Fuel Cell/Battery/Supercapacitor/AC and DC Generators Hybrid Electric Vehicles," Sustainability, MDPI, vol. 15(13), pages 1-27, June.
    10. Younes Zahraoui & Ibrahim Alhamrouni & Saad Mekhilef & M. Reyasudin Basir Khan & Mehdi Seyedmahmoudian & Alex Stojcevski & Ben Horan, 2021. "Energy Management System in Microgrids: A Comprehensive Review," Sustainability, MDPI, vol. 13(19), pages 1-33, September.
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