| Title: | Research on the modelling and analysis of the penetration of renewable sources and storage into electrical networks |
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| Authors: | ID Simonič, Eva (Author)
ID Seme, Sebastijan (Author)
ID Sredenšek, Klemen (Author) |
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| Files: |  Simonic_2025_Research_on_the_Modelling_and_Analysis.pdf (3,19 MB)
MD5: 738CF4252E1BB29DED6164F944BB30E0
 https://doi.org/10.3390/en18092263
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | To address the growing integration of renewable energy sources and storage systems into distribution networks, there is a need for effective tools that can assess the impact of these technologies on grid performance. This paper investigates the impact of integrating residential rooftop photovoltaic (PV) systems and battery energy storage systems (BESSs) into low-voltage (LV) distribution networks. A stochastic approach, using the Monte Carlo method, is applied to randomly place PV systems across the network, generating multiple scenarios for power flow simulations in MATLAB Simulink R2024b. The method incorporates real-world consumer load data and grid topology, representing a novel approach in simulating distribution network behaviour accurately. The novelty of this paper lies in its ability to combine stochastic PV placement with real-world load data, providing a more realistic representation of network conditions. The simulation results revealed that widespread PV deployment can lead to overvoltage issues, but the integration of BESSs alongside PV systems mitigates these problems significantly. The findings of this paper offer valuable insights for Distribution Network Operators, aiding in the development of strategies for optimal PV and BESS integration to enhance grid performance. |
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| Keywords: | photovoltaic system, battery energy storage system, low-voltage distribution network, Monte Carlo method, power flow |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 02.04.2025 |
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| Article acceptance date: | 28.04.2025 |
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| Publication date: | 29.04.2025 |
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| Publisher: | MDPI |
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| Year of publishing: | 2025 |
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| Number of pages: | Str. 1-19 |
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| Numbering: | Letn. 18, št. 9, št. članka 2263 |
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| PID: | 20.500.12556/DKUM-93493  |
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| UDC: | 621.383.51 |
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| ISSN on article: | 1996-1073 |
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| COBISS.SI-ID: | 234999811 |
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| DOI: | 10.3390/en18092263 |
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| Publication date in DKUM: | 03.11.2025 |
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| Views: | 190 |
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| Downloads: | 18 |
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| Metadata: |    |
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| Categories: | Misc.
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