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The Impact of Distributed Energy Resources (DERs) on Supply Network and Energy Market

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F2: Distributed Energy System".

Deadline for manuscript submissions: 28 November 2025 | Viewed by 1756

Special Issue Editors

Prof. Dr. Ryszard Sroka

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Guest Editor
Department of Measurement and Electronics, AGH University of Krakow, 30-059 Kraków, Poland
Interests: measurements of physical quantities; phase angle measurements; WIM systems and measurement of road traffic parameters; modeling and simulations of measurement systems; signal processing and data fusion in measurement systems; energy harvesting systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Zbigniew Hanzelka

E-Mail Website
Guest Editor
Department of Power Electronics and Automation of Energy Transformation Systems, AGH University of Krakow, 30-059 Kraków, Poland
Interests: power quality; smart grids; distributed energy resources; energy control systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ryszard Klempka

E-Mail Website
Guest Editor
Department of Power Electronics and Automation of Energy Conversion Systems, AGH University of Krakow, 30-059 Kraków, Poland
Interests: power quality; automation; intelligent optimization methods; power theory; modelling and simulation; programming CAD-type systems
Dr. Jerzy Dzieża

E-Mail Website
Guest Editor
Faculty of Applied Mathematics, AGH University of Krakow, 30-059 Kraków, Poland
Interests: fixed income securities; exotic options; energy and commodity derivatives; risk management; real options

Special Issue Information

Dear Colleagues,

In liberalized energy markets, a conflict of interests between owners/investors of distributed energy resources (DERs) and distribution system operators (DSOs) has emerged. The former expect increasing numbers and capacity of DERs without restrictions, while network operators fear problems related to their excessive dissemination due to the technical limitations of networks and the rationalization of their operating costs. To resolve this conflict, knowledge and tools are needed that will allow for the analysis of the impact of DERs on the network, make decisions on the acceptance or rejection of applications for the connection of another energy source, and use effective methods of increasing hosting capacity.

DERs are also elements of the energy markets in which they operate and are thus affected by existing legislation. They also influence the shapes of these markets, both locally and globally.

The purpose of the proposed Special Issue is to present various technical aspects of cooperation of DERs with supply networks and the impacts of DERs on energy markets and applicable legislation. The Editors are particularly (but not exclusively) interested in submissions on the following topics:

  • The integration of distributed generation and transmission in a power system: modelling and field measurements, the study of penetration scenarios, flexible interconnection frameworks and case studies, energy management in distribution systems;
  • Aspects of cooperation of various types of energy sources and storage in a power system;
  • Energy transformation issues;
  • Energy efficiency optimization;
  • Energy harvesting;
  • Hosting capacity of the power grid for renewable electricity production: tools and methods for distribution networks’ hosting capacity calculation, optimal placement and sizing of DERs in distribution networks, the advanced planning of DER distribution networks;
  • DERs versus power quality.

Prof. Dr. Ryszard Sroka
Prof. Dr. Zbigniew Hanzelka
Prof. Dr. Ryszard Klempka
Dr. Jerzy Dzieża
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • distributed energy resources (DERs)
  • renewable/citizen energy communities
  • power quality
  • DER integration
  • energy harvesting systems
  • powering of autonomous IoT nodes

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Related Special Issue

Published Papers (2 papers)

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Research

15 pages, 767 KB  
Article
Optimal Sensor Placement for Contactless Medium- or High-Voltage Measurement
by Andrzej Bień, Szymon Barczentewicz and Andrzej Wetula
Energies 2025, 18(18), 4982; https://doi.org/10.3390/en18184982 - 19 Sep 2025
Viewed by 267
Abstract
The paper presents a method for selecting the locations of field sensors under a medium- or high-voltage line or substation busbars, in a contactless voltage measurement system. The proposed method uses the condition number of a distance matrix, correlated with the capacitance matrix [...] Read more.
The paper presents a method for selecting the locations of field sensors under a medium- or high-voltage line or substation busbars, in a contactless voltage measurement system. The proposed method uses the condition number of a distance matrix, correlated with the capacitance matrix of a system, as an optimization criterion. As a robust optimization algorithm was expected to be necessary for this task, genetic algorithm and particle swarm optimization algorithm have been tested, both in regular and hybrid versions. The proposed method was tested in simulations, using four power line geometries based on real-life pylons. Optimization results were juxtaposed with reference values coming from a sensor placement that would most probably be selected by a human operator when not using optimization. The proposed method offers significantly better (although still not good) conditioning of a system equation compared to reference placements. The results also provide an interesting insight into the influence of popular line geometries on numerical properties (and thus one component of uncertainty) of a contactless measurement system. Full article
(This article belongs to the Special Issue The Impact of Distributed Energy Resources (DERs) on Supply Network and Energy Market)
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27 pages, 3320 KB  
Article
Forecasting Power Quality Parameters Using Decision Tree and KNN Algorithms in a Small-Scale Off-Grid Platform
by Ibrahim Jahan, Vojtech Blazek, Wojciech Walendziuk, Vaclav Snasel, Lukas Prokop and Stanislav Misak
Energies 2025, 18(17), 4611; https://doi.org/10.3390/en18174611 - 30 Aug 2025
Viewed by 1150
Abstract
This article presents the results of a performance comparison of four forecasting methods for prediction of electric power quality parameters (PQPs) in small-scale off-grid environments. Forecasting PQPs is crucial in supporting smart grid control and planning strategies by enabling better management, enhancing system [...] Read more.
This article presents the results of a performance comparison of four forecasting methods for prediction of electric power quality parameters (PQPs) in small-scale off-grid environments. Forecasting PQPs is crucial in supporting smart grid control and planning strategies by enabling better management, enhancing system reliability, and optimizing the integration of distributed energy resources. The following methods were compared: Bagging Decision Tree (BGDT), Boosting Decision Tree (BODT), and the K-Nearest Neighbor (KNN) algorithm with k−5 and k−10 nearest neighbors considered by the algorithm when making a prediction. The main goal of this study is to find a relation between the input variables (weather conditions, first and second back steps of PQPs, and consumed power of home appliances) and the power quality parameters as target outputs. The studied PQPs are the amplitude of power voltage (U), Voltage Total Harmonic Distortion (THDu), Current Total Harmonic Distortion (THDi), Power Factor (PF), and Power Load (PL). The Root Mean Square Error (RMSE) was used to evaluate the forecasting results. BGDT accomplished better forecasting results for THDu, THDi, and PF. Only BODT obtained a good forecasting result for PL. The KNN (k = 5) algorithm obtained a good result for PF prediction. The KNN (k = 10) algorithm predicted acceptable results for U and PF. The computation time was considered, and the KNN algorithm took a shorter time than ensemble decision trees. Full article
(This article belongs to the Special Issue The Impact of Distributed Energy Resources (DERs) on Supply Network and Energy Market)
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