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Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components

Author

Listed:
  • Hirotaka Takano

    (Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan)

  • Ryosuke Hayashi

    (Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan)

  • Hiroshi Asano

    (Department of Electrical, Electronic and Computer Engineering, Gifu University, Gifu 501-1193, Japan
    Central Research Institute of Electric Power Industry, 2-6-1 Nagasaka, Yokosuka-shi 240-0196, Japan)

  • Tadahiro Goda

    (Aichi Institute of Technology, Toyota 470-0392, Japan)

Abstract

Battery energy storage systems (BESSs) are key components in efficiently managing the electric power supply and demand in microgrids. However, the BESSs have issues in their investment costs and operating lifetime, and thus, the optimal sizing of the BESSs is one of the crucial requirements in design and management of the microgrids. This paper presents a problem framework and its solution method that calculates the optimal size of the BESSs in a microgrid, considering their cooperative operations with the other components. The proposed framework is formulated as a bi-level optimization problem; however, based on the Karush–Kuhn–Tucker approach, it is regarded as a type of operation scheduling problem. As a result, the techniques developed for determining the operation schedule become applicable. In this paper, a combined algorithm of binary particle swarm optimization and quadratic programming is selected as the basis of the solution method. The validity of the authors’ proposal is verified through numerical simulations and discussion of their results.

Suggested Citation

  • Hirotaka Takano & Ryosuke Hayashi & Hiroshi Asano & Tadahiro Goda, 2021. "Optimal Sizing of Battery Energy Storage Systems Considering Cooperative Operation with Microgrid Components," Energies, MDPI, vol. 14(21), pages 1-13, November.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:21:p:7442-:d:674682
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    References listed on IDEAS

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    1. Stein, Oliver & Still, Georg, 2002. "On generalized semi-infinite optimization and bilevel optimization," European Journal of Operational Research, Elsevier, vol. 142(3), pages 444-462, November.
    2. Benoît Colson & Patrice Marcotte & Gilles Savard, 2007. "An overview of bilevel optimization," Annals of Operations Research, Springer, vol. 153(1), pages 235-256, September.
    3. Morais, Hugo & Kádár, Péter & Faria, Pedro & Vale, Zita A. & Khodr, H.M., 2010. "Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programming," Renewable Energy, Elsevier, vol. 35(1), pages 151-156.
    4. Hirotaka Takano & Ryota Goto & Thin Zar Soe & Nguyen Duc Tuyen & Hiroshi Asano, 2019. "Operation Scheduling Optimization for Microgrids Considering Coordination of Their Components," Future Internet, MDPI, vol. 11(11), pages 1-11, October.
    5. Hirotaka Takano & Ryota Goto & Ryosuke Hayashi & Hiroshi Asano, 2021. "Optimization Method for Operation Schedule of Microgrids Considering Uncertainty in Available Data," Energies, MDPI, vol. 14(9), pages 1-13, April.
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    Cited by:

    1. Hajra Khan & Imran Fareed Nizami & Saeed Mian Qaisar & Asad Waqar & Moez Krichen & Abdulaziz Turki Almaktoom, 2022. "Analyzing Optimal Battery Sizing in Microgrids Based on the Feature Selection and Machine Learning Approaches," Energies, MDPI, vol. 15(21), pages 1-22, October.
    2. Md. Mahamudul Hasan & Boris Berseneff & Tim Meulenbroeks & Igor Cantero & Sajib Chakraborty & Thomas Geury & Omar Hegazy, 2022. "A Multi-Objective Co-Design Optimization Framework for Grid-Connected Hybrid Battery Energy Storage Systems: Optimal Sizing and Selection of Technology," Energies, MDPI, vol. 15(15), pages 1-21, July.
    3. Khairul Eahsun Fahim & Liyanage C. De Silva & Fayaz Hussain & Hayati Yassin, 2023. "A State-of-the-Art Review on Optimization Methods and Techniques for Economic Load Dispatch with Photovoltaic Systems: Progress, Challenges, and Recommendations," Sustainability, MDPI, vol. 15(15), pages 1-29, August.
    4. Haipeng Wang & Xuewei Wu & Kai Sun & Xiaodong Du & Yuling He & Kaiwen Li, 2023. "Economic Dispatch Optimization of a Microgrid with Wind–Photovoltaic-Load-Storage in Multiple Scenarios," Energies, MDPI, vol. 16(9), pages 1-16, May.
    5. Irina Picioroaga & Madalina Luca & Andrei Tudose & Dorian Sidea & Mircea Eremia & Constantin Bulac, 2023. "Resilience-Driven Optimal Sizing of Energy Storage Systems in Remote Microgrids," Sustainability, MDPI, vol. 15(22), pages 1-16, November.

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