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Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (31 December 2024) | Viewed by 9445

Special Issue Editor

Dr. Luka Strezoski

E-Mail Website
Guest Editor
Department for Power, Electronics, and Telecommunications, Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
Interests: renewable energy integration; distribution system protection and management; ADMS; DERMS; microgrid protection and management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, ‘Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources’, aims to focus on the critical challenges and innovative solutions related to the integration of distributed energy resources (DERs) into distribution systems as well as their active management. With a growing emphasis on sustainability and renewable energy sources, distribution systems are experiencing a rapid influx of DERs, such as solar panels, wind turbines, electric vehicles, and energy storage. To effectively manage these resources, two key technologies take center stage: Advanced Distribution Management Systems (ADMS) and Distributed Energy Resource Management Systems (DERMS).

ADMS serves as the epicenter of modern distribution grids. It combines real-time monitoring, control, and analytics to optimize grid operations, ensure reliability, and enhance grid resilience. This Special Issue seeks to explore the latest developments in ADMS, including advanced data analytics, grid automation, and predictive maintenance techniques, all aimed at accommodating DERs seamlessly.

In parallel, DERMS plays a pivotal role in the integration and active management of DERs and microgrids within distribution networks. DERMS offers utilities with the tools to harness the full potential of DERs, enabling grid operators to manage distributed energy generation, storage, and demand efficient response. This Special Issue invites papers that address topics such as DER aggregation, demand-side management, microgrids, and grid-edge intelligence.

Together, ADMS and DERMS are indispensable for utilities seeking to balance supply and demand, reduce losses, and optimize grid performance while accommodating the complexities of high DER penetration. Therefore, this Special Issue aims to collate cutting-edge research and insights from researchers and practitioners in these fields, shedding light on the evolving landscape of power and energy management in distribution systems, thereby fostering sustainable and resilient energy infrastructure for the future.

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

  • Integration of high penetration of DERs, such as distributed generation (DG), electrical vehicles (EV), and energy storage technologies;
  • Active management of distribution grids with high amounts of dispersed DERs;
  • Non-wire alternatives (NWAs);
  • Advancements in ADMS, DERMS, and microgrid management technologies;
  • Harnessing the potential of behind-the-meter DERs;
  • Electrical vehicles as flexibility resources for distribution operations;
  • AC and DC microgrid control, protection, and management.

Dr. Luka Strezoski
Guest Editor

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
  • distributed generation, electrical vehicles, energy storage
  • distributed energy resource management system (DERMS)
  • advanced distribution management system (ADMS)
  • active network management
  • non-wires alternatives
  • microgrids

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Related Special Issue

Published Papers (8 papers)

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Editorial

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3 pages, 110 KiB  
Editorial
Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources
by Luka Strezoski
Energies 2025, 18(3), 723; https://doi.org/10.3390/en18030723 - 5 Feb 2025
Viewed by 545
Abstract
This Special Issue is dedicated to exploring cutting-edge methodologies and innovative solutions pertaining to the integration of distributed energy resources (DERs) into modern distribution systems, as well as the active control and management of these evolving electrical networks [...] Full article
(This article belongs to the Special Issue Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources)

Research

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20 pages, 3136 KiB  
Article
Generalized Distribution Network Data-Gathering Procedure for ADMS Deployment
by Duško Bekut, Goran Švenda, Sonja Kanjuh and Verica Koturević
Energies 2024, 17(23), 6020; https://doi.org/10.3390/en17236020 - 29 Nov 2024
Cited by 1 | Viewed by 679
Abstract
The implementation of advanced distribution management systems (ADMS) in today’s distribution networks (DNs) is critical for efficient operation. However, ADMS deployment poses significant challenges, particularly in gathering the extensive and diverse data required to model DNs. This paper presents a generalized, systematic, and [...] Read more.
The implementation of advanced distribution management systems (ADMS) in today’s distribution networks (DNs) is critical for efficient operation. However, ADMS deployment poses significant challenges, particularly in gathering the extensive and diverse data required to model DNs. This paper presents a generalized, systematic, and algorithm-driven procedure for optimizing the missing data-gathering process during ADMS deployment. The procedure identifies the required DN model data by layers, considers distribution power utility (DPU) data sources, identifies missing data, and evaluates methods and the missing data-gathering ways, considering cost, duration, and specific constraints for data gathering. The developed approach provides DPUs with a clear, structured, and proactive approach to data gathering, significantly reducing complexity and enhancing efficiency. The practical application of this procedure is demonstrated using a real-world unbalanced DN example from a North American DPU, showcasing its potential to streamline ADMS deployment and deliver tangible operational benefits. Full article
(This article belongs to the Special Issue Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources)
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14 pages, 2216 KiB  
Article
Autoencoder-Driven Training Data Selection Based on Hidden Features for Improved Accuracy of ANN Short-Term Load Forecasting in ADMS
by Zoran Pajić, Zoran Janković and Aleksandar Selakov
Energies 2024, 17(20), 5183; https://doi.org/10.3390/en17205183 - 17 Oct 2024
Cited by 2 | Viewed by 1215
Abstract
This paper presents a novel methodology for short-term load forecasting in the context of significant shifts in the daily load curve due to the rapid and extensive adoption of Distributed Energy Resources (DERs). The proposed solution, built upon the Similar Days Method (SDM) [...] Read more.
This paper presents a novel methodology for short-term load forecasting in the context of significant shifts in the daily load curve due to the rapid and extensive adoption of Distributed Energy Resources (DERs). The proposed solution, built upon the Similar Days Method (SDM) and Artificial Neural Network (ANN), introduces several novelties: (1) selection of similar days based on hidden representations of day data using Autoencoder (AE); (2) enhancement of model generalization by utilizing a broader set of training examples; (3) incorporating the relative importance of training examples derived from the similarity measure during training; and (4) mitigation of the influence of outliers by applying an ensemble of ANN models trained with different data splits. The presented AE configuration and procedure for selecting similar days generated a higher-quality training dataset, which led to more robust predictions by the ANN model for days with unexpected deviations. Experiments were conducted on actual load data from a Serbian electrical power system, and the results were compared to predictions obtained by the field-proven STLF tool. The experiments demonstrated an improved performance of the presented solution on test days when the existing STLF tool had poor predictions over the past year. Full article
(This article belongs to the Special Issue Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources)
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16 pages, 3922 KiB  
Article
Model Quality and Measurement Density Impact on Volt/Volt Ampere Reactive Optimization Performance
by Ismael Mendoza, Annabelle Pratt, Harsha Vardhana Padullaparti, Soumya Tiwari and Murali Baggu
Energies 2024, 17(15), 3707; https://doi.org/10.3390/en17153707 - 27 Jul 2024
Cited by 1 | Viewed by 895
Abstract
The operation of the utility grid is being reshaped by the continuous addition of distributed energy resources and advanced metering infrastructure, which challenge existing grid control strategies. Some utilities deploy advanced distribution management systems (ADMS) to assist with the consolidation of various applications [...] Read more.
The operation of the utility grid is being reshaped by the continuous addition of distributed energy resources and advanced metering infrastructure, which challenge existing grid control strategies. Some utilities deploy advanced distribution management systems (ADMS) to assist with the consolidation of various applications and to augment situational awareness in response to the new power delivery dynamics. An ADMS is an integrated software platform that provides utilities with a way to enhance their reliability, control, and optimization with advanced applications, such as volt/VAR optimization (VVO). A VVO application could serve as a vehicle to deliver cost savings by providing the utility with a method to reduce rates by controlling the voltage and decreasing the energy usage in their service territory. Some utilities are reluctant to integrate an ADMS, because it is a significant investment that requires approval from the public regulatory commission and/or their customers. This paper evaluates the impact on VVO performance when using a lower-quality network model supplemented with additional measurements, which could provide an implementation for cost savings. The results show that a better model quality would provide the highest energy savings; however, some level of telemetry is necessary in all scenarios to prevent voltage exceedances. Full article
(This article belongs to the Special Issue Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources)
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20 pages, 603 KiB  
Article
Interval Assessment Method for Distribution Network Hosting Capacity of Renewable Distributed Generation
by Dai Wan, Simin Peng, Haochong Zhang, Hanbin Diao, Peiqiang Li and Chunming Tu
Energies 2024, 17(13), 3271; https://doi.org/10.3390/en17133271 - 3 Jul 2024
Cited by 1 | Viewed by 1039
Abstract
The traditional fixed value assessment of the renewable distributed energy hosting capacity of a distribution network cannot accurately and comprehensively reflect the change in hosting capacity; therefore, we propose the interval assessment method for the renewable distributed energy hosting capacity of a distribution [...] Read more.
The traditional fixed value assessment of the renewable distributed energy hosting capacity of a distribution network cannot accurately and comprehensively reflect the change in hosting capacity; therefore, we propose the interval assessment method for the renewable distributed energy hosting capacity of a distribution network. The renewable distributed energy hosting capacity interval consists of an optimistic upper boundary and a pessimistic lower boundary. First, the optimistic upper bound is described by a deterministic model that takes into account the constraints of safe system operation. Second, the pessimistic lower bound is portrayed by a two-layer robust assessment model that accounts for the DG temporal uncertainty, DG spatial uncertainty, and active distribution network flexible resource dispatch uncertainty. Each pessimistic sub-model was constructed in turn, and then the model was solved by linear simplification using pairwise transformation, as well as McCormick relaxation. Finally, simulations were carried out in the IEEE 135 system, and the results validated the effectiveness and practicality of the proposed method. Full article
(This article belongs to the Special Issue Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources)
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16 pages, 6391 KiB  
Article
Integrated Transmission and Distribution Co-Simulation Platform for Demonstration of Bulk Grid Services Using Distributed Energy Resources
by Venkateswara Reddy Motakatla, Weijia Liu, Jun Hao, Harsha Vardhana Padullaparti, Utkarsh Kumar, Seong Lok Choi and Ismael Mendoza
Energies 2024, 17(13), 3215; https://doi.org/10.3390/en17133215 - 29 Jun 2024
Cited by 3 | Viewed by 1276
Abstract
In September 2020, the Federal Energy Regulatory Commission (FERC) released Order 2222, which opens wholesale markets to small-capacity distributed energy resources (DERs), recognizing their potential in improving operational efficiency by providing bulk grid services. Therefore, a co-simulation capability that can connect transmission and [...] Read more.
In September 2020, the Federal Energy Regulatory Commission (FERC) released Order 2222, which opens wholesale markets to small-capacity distributed energy resources (DERs), recognizing their potential in improving operational efficiency by providing bulk grid services. Therefore, a co-simulation capability that can connect transmission and distribution (T&D) simulations and evaluate the impacts of DER provision of bulk grid services is needed. In this paper, we present a new integrated T&D co-simulation platform that incorporates T&D system simulators, DER aggregator/group strategies, and a co-simulation coordinator. Industry-standard communication protocols are employed to mimic real-world conditions. Secondary frequency regulation is selected as the representative bulk grid service, and we simulate the responses of DERs to the frequency regulation signals. The simulation results for a solar-rich distribution feeder in Colorado, USA, demonstrate how the T&D co-simulation setup is used to evaluate the contributions of DERs to minimize the bulk grid frequency deviation. Full article
(This article belongs to the Special Issue Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources)
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17 pages, 6412 KiB  
Article
Evaluation of Different Methodologies for Wave Energy Conversion Systems Integration into the Power Grid Using Power Hardware-in-Loop Emulation
by Barbara Vujkov, Mile Dragić, Matej Žnidarec, Bane Popadić, Damir Šljivac and Boris Dumnić
Energies 2024, 17(12), 2826; https://doi.org/10.3390/en17122826 - 8 Jun 2024
Cited by 1 | Viewed by 1398
Abstract
The ocean energy resources hold the promise of a sustainable solution within global efforts to diversify energy sources and mitigate climate change. Wave energy conversion (WEC) systems, as emerging technologies, offer adaptability and the potential to harness predictable wave energy. However, integration of [...] Read more.
The ocean energy resources hold the promise of a sustainable solution within global efforts to diversify energy sources and mitigate climate change. Wave energy conversion (WEC) systems, as emerging technologies, offer adaptability and the potential to harness predictable wave energy. However, integration of WEC systems into a power grid brings challenges for system operators due to their nature of operation. Addressing these demands is a multilayered process that involves highly efficient power electronic devices, control systems, and efficient energy storage solutions. This paper specifically focuses on the methodologies of the grid integration of a specific wave energy conversion system—a point absorber developed by the company Sigma Energy. Proposed methodologies are experimentally tested using power hardware-in-loop (PHIL) emulation of a fully monitored and controlled small-scale microgrid equipped with a battery energy storage system (BESS), different emulators of loads, and distributed generators (DG). Full article
(This article belongs to the Special Issue Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources)
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Review

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22 pages, 2253 KiB  
Review
Doubly Fed Induction Machine Models for Integration into Grid Management Software for Improved Post Fault Response Calculation Accuracy—A Short Review
by Andrija Mitrovic, Luka Strezoski and Kenneth A. Loparo
Energies 2025, 18(1), 147; https://doi.org/10.3390/en18010147 - 2 Jan 2025
Cited by 2 | Viewed by 725
Abstract
With the escalating proliferation of wind power plants, the imperative focus on system robustness and stability intensifies. Doubly fed induction machines (DFIMs) are extensively employed in land-based wind power plants due to their performance advantages. While the stator windings are directly connected to [...] Read more.
With the escalating proliferation of wind power plants, the imperative focus on system robustness and stability intensifies. Doubly fed induction machines (DFIMs) are extensively employed in land-based wind power plants due to their performance advantages. While the stator windings are directly connected to the power system, the rotor windings are connected via power converters, making these units vulnerable to voltage disturbances. During faults, voltage drops at the stator terminals lead to elevated voltages and currents on the rotor side due to electromagnetic coupling between stator and rotor, potentially damaging rotor insulation and costly power electronics. Historically, wind power plants employing DFIMs were disconnected from the grid during faults—an unsatisfactory solution given the burgeoning number of these installations. Consequently, grid operators and IEEE standard 2800 mandate fault ride-through (FRT) capabilities to maintain system stability during disturbances. This paper provides a short review of the existing techniques for protecting DFIMs during faults, focusing on both passive and active protection methods. Additionally, a simple calculation is presented to compare two different protection strategies, illustrating the differences in their effectiveness. The review emphasizes the necessity for developing models that represent all protection methods for DFIMs, due to the clear differences in the results obtained. Full article
(This article belongs to the Special Issue Advances in Power and Energy Management for Distribution Systems with High Penetration of Distributed Energy Resources)
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