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Renewable Sources and Storage: Grid Impact, Modeling, and Integration Strategies

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A: Sustainable Energy".

Deadline for manuscript submissions: 20 June 2025 | Viewed by 1400

Special Issue Editors


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Guest Editor
Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia
Interests: modeling and optimization; energy efficiency; power electronics; photovoltaic systems; renewable energy sources
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Guest Editor
Faculty of Energy Technology, University of Maribor, Hočevarjev trg 1, 8270 Krško, Slovenia
Interests: modeling and optimization; energy efficiency; power electronics; photovoltaic systems; renewable energy sources

Special Issue Information

Dear Colleagues,

As the integration of renewable energy sources and energy storage systems becomes increasingly crucial for the sustainability and resilience of modern electrical networks, understanding and optimizing their penetration is essential. This transition towards a more sustainable energy system presents significant challenges, as well as opportunities, in modeling, analysis, and the effective management of these resources within electrical networks.

This Special Issue aims to present and disseminate the latest research findings and advancements related to the modeling and analysis of the penetration of renewable energy sources and storage systems in electrical networks. We seek contributions that explore innovative approaches, methodologies, and technologies, incorporating renewable energy and storage solutions, to enhance the efficiency, reliability, and stability of electrical networks.

Topics of interest for publication include, but are not limited to, the following:

  • Modeling techniques for renewable energy integration in electrical networks;
  • Analysis of the impact of renewable energy sources on grid stability and reliability;
  • The role of storage systems in alleviating the demand on electrical networks;
  • Smart grid technologies for renewable energy and storage management;
  • Grid modernization to accommodate high levels of renewable penetration;
  • Techniques for optimizing renewable energy systems for low-voltage network usage;
  • Economic and environmental impacts of renewable energy and storage systems;
  • Electricity management systems in the low-voltage network (domestic use);
  • Policy and regulatory aspects of renewable energy and storage penetration;
  • Market impacts on the integration of renewable energy sources.

Prof. Dr. Sebastijan Seme
Dr. Klemen Sredenšek
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • renewable energy sources
  • electrical network
  • energy storage systems
  • modeling and analysis
  • optimization

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Published Papers (3 papers)

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Research

19 pages, 3253 KiB  
Article
Research on the Modelling and Analysis of the Penetration of Renewable Sources and Storage into Electrical Networks
by Eva Simonič, Sebastijan Seme and Klemen Sredenšek
Energies 2025, 18(9), 2263; https://doi.org/10.3390/en18092263 - 29 Apr 2025
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 [...] Read more.
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. Full article
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12 pages, 2367 KiB  
Article
The Electricity Generation Landscape of Bioenergy in Germany
by Reinhold Lehneis
Energies 2025, 18(6), 1497; https://doi.org/10.3390/en18061497 - 18 Mar 2025
Viewed by 302
Abstract
Disaggregated data on electricity generation from bioenergy are very helpful for investigating the economic and technical effects of this form of renewable energy on the German power sector with a high temporal and spatial resolution. But the lack of high-resolution feed-in data for [...] Read more.
Disaggregated data on electricity generation from bioenergy are very helpful for investigating the economic and technical effects of this form of renewable energy on the German power sector with a high temporal and spatial resolution. But the lack of high-resolution feed-in data for Germany makes it necessary to apply numerical simulations to determine the electricity generation from biomass power plants for a time period and geographic region of interest. This article presents how such a simulation model can be developed using public power plant data as well as open information from German TSOs as input data. The physical model is applied to an ensemble of 20,863 biomass power plants, most of which are in continuous operation, to simulate their electricity generation in Germany for the year 2020. For this period, the spatially aggregated simulation results correlate well with the official electricity feed-in from bioenergy. The disaggregated time series can be used to analyze the electricity generation at any spatial scale, as each power plant is simulated with its technical parameters and geographical location. Furthermore, this article introduces the electricity generation landscape of bioenergy as a high-resolution map and at the federal state level with meaningful energy figures, enabling comprehensive assessments of this form of renewable energy for different regions of Germany. Full article
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13 pages, 5072 KiB  
Article
The Impact of Financial Support Mechanisms and Geopolitical Factors on the Profitability of Investments in Solar Power Plants in Slovenia
by Iztok Gornjak, Filip Kokalj and Niko Samec
Energies 2024, 17(22), 5714; https://doi.org/10.3390/en17225714 - 15 Nov 2024
Cited by 1 | Viewed by 774
Abstract
This article examines the impact of financial support mechanisms and geopolitical factors on the profitability of investments in solar power plants within Slovenia. The European Union’s energy policy prioritizes increases in renewable energy sources, aiming to reduce dependency on unstable and volatile fossil [...] Read more.
This article examines the impact of financial support mechanisms and geopolitical factors on the profitability of investments in solar power plants within Slovenia. The European Union’s energy policy prioritizes increases in renewable energy sources, aiming to reduce dependency on unstable and volatile fossil fuel markets. Solar power plants play a vital role in this transition. The energy policy framework also includes mechanisms and support systems to operate such facilities. This article analyzes electricity price trends over the past decade and addresses which support type—guaranteed purchase or operational support—has proven more profitable for investments in solar power plants up to 50 kW in Slovenia, considering economic and geopolitical influences on the electricity market. Although the global energy market has been affected by various significant events in recent years, it was found that the COVID-19 pandemic had minimal impact on the electricity market. In contrast, the onset of the conflict in Ukraine has contributed to rising electricity prices and has influenced the support dynamics essential for the development and sustainability of renewable energy systems. Analyses from the past decade indicate a higher return on investment in solar power plants when operational support mechanisms are chosen over guaranteed purchase support. Full article
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