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Spatio-Temporal and Power–Energy Scheduling of Mobile Battery Storage for Mitigating Wind and Solar Energy Curtailment in Distribution Networks

Author

Listed:
  • Hedayat Saboori

    (Electrical Engineering Department, Iran University of Science and Technology, Tehran 16846-13114, Iran)

  • Shahram Jadid

    (Electrical Engineering Department, Iran University of Science and Technology, Tehran 16846-13114, Iran)

  • Mehdi Savaghebi

    (Electrical Engineering Section, Department of Mechanical and Electrical Engineering, University of Southern Denmark, Campusvej 55, 5230 Odense, Denmark)

Abstract

Several technical, computational, and economic barriers have caused curtailing a share of renewable-based power generation, especially in systems with higher penetration levels. The Mobile Battery Energy Storage (MBES) can cope with this problem considering the spatial and temporal distribution of the curtailed energy. Accordingly, a new operation model is proposed for optimal scheduling of the MBES in a distribution network with wind and photovoltaic (PV) resources. The network experiences curtailment situations because of bus overvoltage, feeder overload, and power over-generation. The MBES is a truck-mounted battery system compacted in a container. The proposed model seeks to determine the optimal spatio-temporal and power–energy status of the MBES to achieve a minimum curtailment ratio. The model considers transportation time and cost of the MBES efficiently while both active and reactive power exchanges are modeled. The model is linear, without convergence and optimality problems, applicable to real-life large-scale networks, and can be easily integrated into the commercial distribution management software. The implementation results on a test system demonstrate its functionality to recover a considerable share of the curtailed energy for both wind and PV resources at all curtailment patterns and scenarios.

Suggested Citation

  • Hedayat Saboori & Shahram Jadid & Mehdi Savaghebi, 2021. "Spatio-Temporal and Power–Energy Scheduling of Mobile Battery Storage for Mitigating Wind and Solar Energy Curtailment in Distribution Networks," Energies, MDPI, vol. 14(16), pages 1-19, August.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:4853-:d:611035
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    References listed on IDEAS

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    1. Hedayat Saboori & Shahram Jadid & Mehdi Savaghebi, 2021. "Optimal Management of Mobile Battery Energy Storage as a Self-Driving, Self-Powered and Movable Charging Station to Promote Electric Vehicle Adoption," Energies, MDPI, vol. 14(3), pages 1-19, January.
    2. Alex Bunodiere & Han Soo Lee, 2020. "Renewable Energy Curtailment: Prediction Using a Logic-Based Forecasting Method and Mitigation Measures in Kyushu, Japan," Energies, MDPI, vol. 13(18), pages 1-26, September.
    3. Tang, Ningning & Zhang, Yuning & Niu, Yuguang & Du, Xiaoze, 2018. "Solar energy curtailment in China: Status quo, reasons and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 509-528.
    4. Koj, Jan Christian & Wulf, Christina & Zapp, Petra, 2019. "Environmental impacts of power-to-X systems - A review of technological and methodological choices in Life Cycle Assessments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 865-879.
    5. Lund, Peter D. & Lindgren, Juuso & Mikkola, Jani & Salpakari, Jyri, 2015. "Review of energy system flexibility measures to enable high levels of variable renewable electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 785-807.
    6. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
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    1. Yuto Takayama & Hiroaki Yamada, 2021. "Variable DC-Link Voltage Control of Dual Active Bridge Converter in a Standalone Wind Power Generation System for High-Efficiency Battery-Discharging Operation," Energies, MDPI, vol. 14(20), pages 1-17, October.

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