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Impact of system parameters and geospatial variables on the reliability of residential systems with PV and energy storage

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  • Karngala, Arun Kumar
  • Singh, Chanan

Abstract

A reliable power supply is the foundation of modern society, enabling technologies used to function within a society. Residential systems are places where the end users directly consume power, enabling technologies to sustain life. With the emergence of behind-the-meter resources, the end-users have some control over power supply reliability. The intermittency and variability of these resources impact residential system reliability. In this work, we study the reliability performance of a grid-supplemented residential system with behind-the-meter Distributed Energy Resources(DER) subject to various system parameters and geospatial variables. We propose a multistate reliability model for the behind-the-meter microinverter-based Photo Voltaic (PV) system and integrated inverter-based energy storage (ES) system. A sequential Monte Carlo method is then presented to evaluate the reliability indices for the residential system with behind-the-meter DERs as the main supply and the grid as the backup. The sequential Monte Carlo method is used to analyze the reliability performance of the residential model at the top 100 populous counties of the United States, where actual load and solar irradiance data at the counties is used. In the analysis, the sensitivity of indices to system parameters such as DER size and the sensitivity of the indices to climate zone and gross horizontal irradiation (GHI), which affects the load conditions and the PV output of the residential system, is performed. The analysis results show that the system parameters and the geospatial variables significantly impact the residential system’s reliability. The insights from this analysis will be of immense value to the distribution system planners to provide zone-specific guidelines for DER system sizing and toward the evolution of utility business models. The methodology developed can be used to extend the analysis to other locations.

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  • Karngala, Arun Kumar & Singh, Chanan, 2023. "Impact of system parameters and geospatial variables on the reliability of residential systems with PV and energy storage," Applied Energy, Elsevier, vol. 344(C).
    • Handle: RePEc:eee:appene:v:344:y:2023:i:c:s030626192300630x
    DOI: 10.1016/j.apenergy.2023.121266
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    References listed on IDEAS

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    1. Jose L. López-Prado & Jorge I. Vélez & Guisselle A. Garcia-Llinás, 2020. "Reliability Evaluation in Distribution Networks with Microgrids: Review and Classification of the Literature," Energies, MDPI, vol. 13(23), pages 1-31, November.
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    4. Eduardo Quiles & Carlos Roldán-Blay & Guillermo Escrivá-Escrivá & Carlos Roldán-Porta, 2020. "Accurate Sizing of Residential Stand-Alone Photovoltaic Systems Considering System Reliability," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
    5. Rezaeimozafar, Mostafa & Monaghan, Rory F.D. & Barrett, Enda & Duffy, Maeve, 2022. "A review of behind-the-meter energy storage systems in smart grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 164(C).
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