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Reliability Analysis of Distribution Systems with Photovoltaic Generation Using a Power Flow Simulator and a Parallel Monte Carlo Approach

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  • Juan A. Martinez-Velasco

    (Universitat Politècnica de Catalunya, Barcelona 08028, Spain)

  • Gerardo Guerra

    (Universitat Politècnica de Catalunya, Barcelona 08028, Spain)

Abstract

This paper presents a Monte Carlo approach for reliability assessment of distribution systems with distributed generation using parallel computing. The calculations are carried out with a royalty-free power flow simulator, OpenDSS (Open Distribution System Simulator). The procedure has been implemented in an environment in which OpenDSS is driven from MATLAB. The test system is an overhead distribution system represented by means of a three-phase model that includes protective devices. The paper details the implemented procedure, which can be applied to systems with or without distributed generation, includes an illustrative case study and summarizes the results derived from the analysis of the test system during one year. The goal is to evaluate the test system performance considering different scenarios with different level of system automation and reconfiguration, and assess the impact that distributed photovoltaic generation can have on that performance. Several reliability indices, including those related to the impact of distributed generation, are obtained for every scenario.

Suggested Citation

  • Juan A. Martinez-Velasco & Gerardo Guerra, 2016. "Reliability Analysis of Distribution Systems with Photovoltaic Generation Using a Power Flow Simulator and a Parallel Monte Carlo Approach," Energies, MDPI, vol. 9(7), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:537-:d:73833
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    References listed on IDEAS

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    1. Eltawil, Mohamed A. & Zhao, Zhengming, 2010. "Grid-connected photovoltaic power systems: Technical and potential problems--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(1), pages 112-129, January.
    2. Borges, Carmen Lucia Tancredo, 2012. "An overview of reliability models and methods for distribution systems with renewable energy distributed generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4008-4015.
    3. Zhang, Peng & Li, Wenyuan & Li, Sherwin & Wang, Yang & Xiao, Weidong, 2013. "Reliability assessment of photovoltaic power systems: Review of current status and future perspectives," Applied Energy, Elsevier, vol. 104(C), pages 822-833.
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    Cited by:

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    5. Ziad M. Ali & Martin Calasan & Shady H. E. Abdel Aleem & Francisco Jurado & Foad H. Gandoman, 2023. "Applications of Energy Storage Systems in Enhancing Energy Management and Access in Microgrids: A Review," Energies, MDPI, vol. 16(16), pages 1-41, August.
    6. Cheng Lu & Yun-Wen Feng & Cheng-Wei Fei, 2019. "Weighted Regression-Based Extremum Response Surface Method for Structural Dynamic Fuzzy Reliability Analysis," Energies, MDPI, vol. 12(9), pages 1-16, April.
    7. Yih-Der Lee & Jheng-Lun Jiang & Yuan-Hsiang Ho & Wei-Chen Lin & Hsin-Ching Chih & Wei-Tzer Huang, 2020. "Neutral Current Reduction in Three-Phase Four-Wire Distribution Feeders by Optimal Phase Arrangement Based on a Full-Scale Net Load Model Derived from the FTU Data," Energies, MDPI, vol. 13(7), pages 1-20, April.
    8. Miroslaw Parol & Jacek Wasilewski & Tomasz Wojtowicz & Bartlomiej Arendarski & Przemyslaw Komarnicki, 2022. "Reliability Analysis of MV Electric Distribution Networks Including Distributed Generation and ICT Infrastructure," Energies, MDPI, vol. 15(14), pages 1-34, July.
    9. Mimica, Marko & Giménez de Urtasun, Laura & Krajačić, Goran, 2022. "A robust risk assessment method for energy planning scenarios on smart islands under the demand uncertainty," Energy, Elsevier, vol. 240(C).

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