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Influence of different battery charging strategies on residual grid power flows and self-consumption rates at regional scale

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  • Reimuth, Andrea
  • Prasch, Monika
  • Locherer, Veronika
  • Danner, Martin
  • Mauser, Wolfram

Abstract

Battery storage systems can help to integrate excess Photovoltaic (PV) energy into the local energy systems but also increase the request for higher self-consumption rates of the households. This study uses a spatially resolved approach with hourly time steps to analyze the influence of batteries on the domestic residual loads on a regional scale. A domestic energy component is developed consisting of a PV-system model, the demand component, and a battery storage device. The study area is located in the south of Bavaria and 4906 households with PV-systems between 3 and 10 kWp power were selected assuming a battery capacity of 6.2 kWh in average. Three charging strategies for domestic battery storage systems are assessed: (1) Maximization of self-consumption, (2) Fixed feed-in limit of 70% of the PV-peak power, and (3) Daily dynamic feed-in limit based on ideal forecasts. The best result is obtained through the third strategy with a self-consumption of 78.5% on average and the highest reduction of the grid flows by 20% by damping grid excesses. The influence of the charging strategy rises with increasing size of PV- and battery storage systems and therefore residual loads. Regional variations are further caused by the meteorological conditions, different PV- and battery sizes and parameters and demand profiles on municipal scale. Consequently, a sufficient sample size with different set-ups is recommended for a full evaluation of battery charging strategies.

Suggested Citation

  • Reimuth, Andrea & Prasch, Monika & Locherer, Veronika & Danner, Martin & Mauser, Wolfram, 2019. "Influence of different battery charging strategies on residual grid power flows and self-consumption rates at regional scale," Applied Energy, Elsevier, vol. 238(C), pages 572-581.
    • Handle: RePEc:eee:appene:v:238:y:2019:i:c:p:572-581
    DOI: 10.1016/j.apenergy.2019.01.112
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    References listed on IDEAS

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    Cited by:

    1. Tamara Schröter & André Richter & Jens Götze & André Naumann & Jenny Gronau & Martin Wolter, 2020. "Substation Related Forecasts of Electrical Energy Storage Systems: Transmission System Operator Requirements," Energies, MDPI, vol. 13(23), pages 1-26, November.
    2. Li, Yanxue & Zhang, Xiaoyi & Gao, Weijun & Xu, Wenya & Wang, Zixuan, 2022. "Operational performance and grid-support assessment of distributed flexibility practices among residential prosumers under high PV penetration," Energy, Elsevier, vol. 238(PB).
    3. Andrea Reimuth & Veronika Locherer & Martin Danner & Wolfram Mauser, 2020. "How Does the Rate of Photovoltaic Installations and Coupled Batteries Affect Regional Energy Balancing and Self-Consumption of Residential Buildings?," Energies, MDPI, vol. 13(11), pages 1-18, May.
    4. Qusay Hassan & Bartosz Pawela & Ali Hasan & Marek Jaszczur, 2022. "Optimization of Large-Scale Battery Storage Capacity in Conjunction with Photovoltaic Systems for Maximum Self-Sustainability," Energies, MDPI, vol. 15(10), pages 1-21, May.
    5. Sharma, Vanika & Haque, Mohammed H. & Aziz, Syed Mahfuzul, 2019. "Energy cost minimization for net zero energy homes through optimal sizing of battery storage system," Renewable Energy, Elsevier, vol. 141(C), pages 278-286.
    6. Reimuth, Andrea & Locherer, Veronika & Danner, Martin & Mauser, Wolfram, 2020. "How do changes in climate and consumption loads affect residential PV coupled battery energy systems?," Energy, Elsevier, vol. 198(C).

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