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Decentralized Optimal Control of a Microgrid with Solar PV, BESS and Thermostatically Controlled Loads

Author

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  • Wenhao Zhuo

    (School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW 2052, Australia)

  • Andrey V. Savkin

    (School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW 2052, Australia)

  • Ke Meng

    (School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW 2052, Australia)

Abstract

Constructing microgrids with renewable energy systems could be one feasible solution to increase the penetration of renewable energy. With proper control of the battery energy storage system (BESS) and thermostatically controlled loads (TCLs) in such microgrids, the variable and intermittent energy can be smoothed and utilized without the interference of the main power grid. In this paper, a decentralized control strategy for a microgrid consisting of a distributed generator (DG), a battery energy storage system, a solar photovoltaic (PV) system and thermostatically controlled loads is proposed. The control objective is to maintain the desired temperature in local buildings at a minimum cost. Decentralized control algorithm involving variable structure controller and dynamic programming is used to determine suitable control inputs of the distributed generator and the battery energy storage system. The model predictive control approach is utilized for long-term operation with predicted data on solar power and outdoor temperature updated at each control step.

Suggested Citation

  • Wenhao Zhuo & Andrey V. Savkin & Ke Meng, 2019. "Decentralized Optimal Control of a Microgrid with Solar PV, BESS and Thermostatically Controlled Loads," Energies, MDPI, vol. 12(11), pages 1-15, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:11:p:2111-:d:236554
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Wenhao Zhuo & Andrey V. Savkin, 2019. "Profit Maximizing Control of a Microgrid with Renewable Generation and BESS Based on a Battery Cycle Life Model and Energy Price Forecasting," Energies, MDPI, vol. 12(15), pages 1-17, July.
    3. Ibrahim Alotaibi & Mohammed A. Abido & Muhammad Khalid & Andrey V. Savkin, 2020. "A Comprehensive Review of Recent Advances in Smart Grids: A Sustainable Future with Renewable Energy Resources," Energies, MDPI, vol. 13(23), pages 1-41, November.
    4. Meysam Shamshiri & Chin Kim Gan & Junainah Sardi & Mau Teng Au & Wei Hown Tee, 2020. "Design of Battery Storage System for Malaysia Low Voltage Distribution Network with the Presence of Residential Solar Photovoltaic System," Energies, MDPI, vol. 13(18), pages 1-20, September.
    5. Maryam Khanbaghi & Aleksandar Zecevic, 2020. "Jump Linear Quadratic Control for Microgrids with Commercial Loads," Energies, MDPI, vol. 13(19), pages 1-21, September.

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