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Comparison of the Location and Rating of Energy Storage for Renewables Integration in Residential Low Voltage Networks with Overvoltage Constraints

Author

Listed:
  • Andrew F. Crossland

    (Infratec, Te Aro, Wellington 6011, New Zealand)

  • Darren Jones

    (Electricity North West Limited, Warrington WA3 6XG, UK)

  • Neal S. Wade

    (School of Electrical and Electronic Engineering, Newcastle University, Newcastle NE1 7RU, UK)

  • Sara L. Walker

    (School of Electrical and Electronic Engineering, Newcastle University, Newcastle NE1 7RU, UK)

Abstract

Expansion of photovoltaic (PV) generation is increasing the challenge for network operators to keep voltages within operational limits. Voltage rise occurs in low voltage (LV) networks when distributed generators export, particularly at times of low demand. However, there is little work quantifying the scale of voltage issues and subsequently potential solutions across large numbers of real networks. In this paper, a method is presented to analyse a large quantity of geographically and topographically varying distribution networks. The impact of PV on voltages in 9163 real LV distribution networks is then quantified. One potential mitigation measure is increased network demand to reduce voltages. In this work, location algorithms are used to identify where increased demand, through energy storage, has the greatest effect on overvoltage. The study explores the impact on overvoltage of two modes of storage installation reflecting differing routes to adoption: purchase of storage by homeowners and purchase by network operators. These scenarios are compared with traditional re-conductoring in the 9163 networks. It is shown that to avoid violation of absolute voltage limits, storage should be installed at strategically important locations. Storage in homes reduces overvoltage, offering clear benefits to the network operator, but very wide deployment is required to completely remove the need for reinforcement.

Suggested Citation

  • Andrew F. Crossland & Darren Jones & Neal S. Wade & Sara L. Walker, 2018. "Comparison of the Location and Rating of Energy Storage for Renewables Integration in Residential Low Voltage Networks with Overvoltage Constraints," Energies, MDPI, vol. 11(8), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2041-:d:162234
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    References listed on IDEAS

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    Cited by:

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    2. Berg, Kjersti & Rana, Rubi & Farahmand, Hossein, 2023. "Quantifying the benefits of shared battery in a DSO-energy community cooperation," Applied Energy, Elsevier, vol. 343(C).
    3. Javier Huertas Tato & Miguel Centeno Brito, 2018. "Using Smart Persistence and Random Forests to Predict Photovoltaic Energy Production," Energies, MDPI, vol. 12(1), pages 1-12, December.
    4. Izzah Afandi & Ashish P. Agalgaonkar & Sarath Perera, 2022. "Integrated Volt/Var Control Method for Voltage Regulation and Voltage Unbalance Reduction in Active Distribution Networks," Energies, MDPI, vol. 15(6), pages 1-21, March.
    5. Gjorgievski, Vladimir Z. & Cundeva, Snezana & Georghiou, George E., 2021. "Social arrangements, technical designs and impacts of energy communities: A review," Renewable Energy, Elsevier, vol. 169(C), pages 1138-1156.
    6. Mehdi Tavakkoli & Jafar Adabi & Sasan Zabihi & Radu Godina & Edris Pouresmaeil, 2018. "Reserve Allocation of Photovoltaic Systems to Improve Frequency Stability in Hybrid Power Systems," Energies, MDPI, vol. 11(10), pages 1-19, September.
    7. Susan Isaya Sun & Andrew Frederick Crossland & Andrew John Chipperfield & Richard George Andrew Wills, 2019. "An Emissions Arbitrage Algorithm to Improve the Environmental Performance of Domestic PV-Battery Systems," Energies, MDPI, vol. 12(3), pages 1-19, February.

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