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Optimum Capacity and Placement of Storage Batteries Considering Photovoltaics

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  • Hiroki Aoyagi

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan)

  • Ryota Isomura

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
    These authors contributed equally to this work.)

  • Paras Mandal

    (Department of Electrical and Computer Engineering, Power and Renewable Energy Systems (PRES) Lab, University of Texas at El Paso, El Paso, TX 79968, USA
    These authors contributed equally to this work.)

  • Narayanan Krishna

    (Department of Electrical and Electronics Engineering, SASTRA Deemed University, Thanjavur 613401, India
    These authors contributed equally to this work.)

  • Tomonobu Senjyu

    (Faculty of Engineering, University of the Ryukyus, 1 Senbaru, Nishihara-cho, Nakagami, Okinawa 903-0213, Japan
    These authors contributed equally to this work.)

  • Hiroshi Takahashi

    (Fuji Elctric Co., Ltd., Tokyo 141-0032, Japan
    These authors contributed equally to this work.)

Abstract

In recent years, due to the enforcement of the Feed-in tariff (FIT) scheme for renewable energy, a large number of photovoltaic (PV) has been introduced, which causes fluctuations in the supply-demand balance of a power system. As measures against this, the introduction of large capacity storage batteries and demand response has been carried out, and the balance between supply and demand has been adjusted. However, since the increase in capacity of the storage battery is expensive, it is necessary to optimize the capacity of the storage battery from an economic point of view. Therefore, in the power system to which a large amount of photovoltaic power generation has been introduced, the optimal capacity and optimal arrangement of storage batteries are examined. In this paper, the determination of storage battery placement and capacity considering one year is performed by three-step simulation based on probability density function. Simulations show the effectiveness of storage batteries by considering the introduction of demand response and comparing with multiple cases.

Suggested Citation

  • Hiroki Aoyagi & Ryota Isomura & Paras Mandal & Narayanan Krishna & Tomonobu Senjyu & Hiroshi Takahashi, 2019. "Optimum Capacity and Placement of Storage Batteries Considering Photovoltaics," Sustainability, MDPI, vol. 11(9), pages 1-13, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:9:p:2556-:d:227939
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    References listed on IDEAS

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    1. Dong Gu Choi & Daiki Min & Jong-hyun Ryu, 2018. "Economic Value Assessment and Optimal Sizing of an Energy Storage System in a Grid-Connected Wind Farm," Energies, MDPI, vol. 11(3), pages 1-23, March.
    2. Bucciarelli, Martina & Paoletti, Simone & Vicino, Antonio, 2018. "Optimal sizing of energy storage systems under uncertain demand and generation," Applied Energy, Elsevier, vol. 225(C), pages 611-621.
    3. Das, Choton K. & Bass, Octavian & Kothapalli, Ganesh & Mahmoud, Thair S. & Habibi, Daryoush, 2018. "Overview of energy storage systems in distribution networks: Placement, sizing, operation, and power quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 1205-1230.
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    1. Hameed, Zeenat & Hashemi, Seyedmostafa & Ipsen, Hans Henrik & Træholt, Chresten, 2021. "A business-oriented approach for battery energy storage placement in power systems," Applied Energy, Elsevier, vol. 298(C).
    2. Yuya Tanigawa & Narayanan Krishnan & Eitaro Oomine & Atushi Yona & Hiroshi Takahashi & Tomonobu Senjyu, 2023. "Clustering Method for Load Demand to Shorten the Time of Annual Simulation," Energies, MDPI, vol. 16(5), pages 1-22, February.

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