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Enhanced Intelligent Energy Management System for a Renewable Energy-Based AC Microgrid

Author

Listed:
  • Mehdi Dhifli

    (Research Unite of Processing and Analysis of Electrical and Energetic Systems, University Tunis El-Manar, Tunis 2092, Tunisia)

  • Abderezak Lashab

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

  • Josep M. Guerrero

    (Center for Research on Microgrids (CROM), Department of Energy Technology, Aalborg University, 9220 Aalborg East, Denmark)

  • Abdullah Abusorrah

    (Center of Research Excellence in Renewable Energy and Power Systems, Department of Electrical and Computer Engineering, Faculty of Engineering, K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Yusuf A. Al-Turki

    (Center of Research Excellence in Renewable Energy and Power Systems, Department of Electrical and Computer Engineering, Faculty of Engineering, K. A. CARE Energy Research and Innovation Center, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Adnane Cherif

    (Research Unite of Processing and Analysis of Electrical and Energetic Systems, University Tunis El-Manar, Tunis 2092, Tunisia)

Abstract

This paper proposes an enhanced energy management system (EEMS) for a residential AC microgrid. The renewable energy-based AC microgrid with hybrid energy storage is broken down into three distinct parts: a photovoltaic (PV) array as a green energy source, a battery (BT) and a supercapacitor (SC) as a hybrid energy storage system (HESS), and apartments and electric vehicles, given that the system is for residential areas. The developed EEMS ensures the optimal use of the PV arrays’ production, aiming to decrease electricity bills while reducing fast power changes in the battery, which increases the reliability of the system, since the battery undergoes fewer charging/discharging cycles. The proposed EEMS is a hybrid control strategy, which is composed of two stages: a state machine (SM) control to ensure the optimal operation of the battery, and an operating mode (OM) for the best operation of the SC. The obtained results show that the EEMS successfully involves SC during fast load and PV generation changes by decreasing the number of BT charging/discharging cycles, which significantly increases the system’s life span. Moreover, power loss is decreased during passing clouds phases by decreasing the power error between the extracted power by the sources and the required equivalent; the improvement in efficiency reaches 9.5%.

Suggested Citation

  • Mehdi Dhifli & Abderezak Lashab & Josep M. Guerrero & Abdullah Abusorrah & Yusuf A. Al-Turki & Adnane Cherif, 2020. "Enhanced Intelligent Energy Management System for a Renewable Energy-Based AC Microgrid," Energies, MDPI, vol. 13(12), pages 1-18, June.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:12:p:3268-:d:375782
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    References listed on IDEAS

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    2. Amrutha Raju Battula & Sandeep Vuddanti & Surender Reddy Salkuti, 2021. "Review of Energy Management System Approaches in Microgrids," Energies, MDPI, vol. 14(17), pages 1-32, September.

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