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Performance investigation of grid-connected residential PV-battery system focusing on enhancing self-consumption and peak shaving in Kyushu, Japan

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  • Li, Yanxue
  • Gao, Weijun
  • Ruan, Yingjun

Abstract

With increasing PV penetration level, performances of the distributed grid-connected PV system and aggregated effects on public grid need to be identified and analyzed. This paper simulated the techno-economic performances of the grid-connected residential PV-battery system based on simulated PV generations, history household load, technical and economical parameters under the electricity market in Kyushu, Japan. Results indicate that residential PV self-consumption ratios vary significantly between months, it can increase by adding relative battery size, the increasing rate shows obvious variations between months and its value highly depends on features of the customer load and PV generation profiles. Optimal management strategies for private home storage dispatch show a potential in grid peak load shaving. Assumed accumulative generation of home PV-battery system totally shares 2.0% of grid load, analysis indicates that proposed grid-supporting PV-battery systems can participate in 1.1% reduction of peak grid load. The economic feasibility and uptake of battery system highly depend on direct subsidies due to high capacity cost, payback period of PV-battery system is around 18 years without any incentive policies. Increasing electricity pricing, decreasing PV feed-in tariff and falling cost in battery can provide the home PV-battery system more attractiveness.

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  • Li, Yanxue & Gao, Weijun & Ruan, Yingjun, 2018. "Performance investigation of grid-connected residential PV-battery system focusing on enhancing self-consumption and peak shaving in Kyushu, Japan," Renewable Energy, Elsevier, vol. 127(C), pages 514-523.
  • Handle: RePEc:eee:renene:v:127:y:2018:i:c:p:514-523
    DOI: 10.1016/j.renene.2018.04.074
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    7. Duman, A. Can & Güler, Önder, 2020. "Economic analysis of grid-connected residential rooftop PV systems in Turkey," Renewable Energy, Elsevier, vol. 148(C), pages 697-711.
    8. 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.
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    14. Kotowicz, Janusz & Uchman, Wojciech, 2021. "Analysis of the integrated energy system in residential scale: Photovoltaics, micro-cogeneration and electrical energy storage," Energy, Elsevier, vol. 227(C).
    15. Eltoumi, Fouad M. & Becherif, Mohamed & Djerdir, Abdesslem & Ramadan, Haitham.S., 2021. "The key issues of electric vehicle charging via hybrid power sources: Techno-economic viability, analysis, and recommendations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    16. Langenmayr, Uwe & Wang, Weimin & Jochem, Patrick, 2020. "Unit commitment of photovoltaic-battery systems: An advanced approach considering uncertainties from load, electric vehicles, and photovoltaic," Applied Energy, Elsevier, vol. 280(C).
    17. Jahangir, Mohammad Hossein & Fakouriyan, Samaneh & Vaziri Rad, Mohammad Amin & Dehghan, Hassan, 2020. "Feasibility study of on/off grid large-scale PV/WT/WEC hybrid energy system in coastal cities: A case-based research," Renewable Energy, Elsevier, vol. 162(C), pages 2075-2095.
    18. Chaianong, Aksornchan & Bangviwat, Athikom & Menke, Christoph & Breitschopf, Barbara & Eichhammer, Wolfgang, 2020. "Customer economics of residential PV–battery systems in Thailand," Renewable Energy, Elsevier, vol. 146(C), pages 297-308.
    19. Zakeri, Behnam & Cross, Samuel & Dodds, Paul.E. & Gissey, Giorgio Castagneto, 2021. "Policy options for enhancing economic profitability of residential solar photovoltaic with battery energy storage," Applied Energy, Elsevier, vol. 290(C).
    20. Jaszczur, Marek & Hassan, Qusay & Abdulateef, Ammar M. & Abdulateef, Jasim, 2021. "Assessing the temporal load resolution effect on the photovoltaic energy flows and self-consumption," Renewable Energy, Elsevier, vol. 169(C), pages 1077-1090.

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