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Energies
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Advanced Control and Operation of Microgrids and Power Distribution Systems
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Advanced Control and Operation of Microgrids and Power Distribution Systems

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 14 August 2024 | Viewed by 2770

Special Issue Editors

Prof. Dr. Il-Yop Chung

E-Mail Website1 Website2
Guest Editor
School of Electrical Engineering, Kookmin University, Seoul 02707, Republic of Korea
Interests: power system control and operation; renewable energy integration to grids; microgrids; power distribution systems; shipboard power systems
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Seon-Ju Ahn

E-Mail Website
Guest Editor
Department of Electrical Engineering, Chonnam National University, Gwangju 61186, Republic of Korea
Interests: distribution system; distributed energy resources; microgrid; smart grid; real-time simulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Lately, there has been a growing emphasis on microgrids and power distribution systems, driven by the widespread adoption of distributed energy resources and distributed power markets. The optimal control and operation of these systems can amplify the utilization of environmentally friendly renewable energy resources and enhance power grid stability by mitigating the unpredictability of renewable energy resources and electric loads. Furthermore, the emergence of machine learning and artificial intelligence technologies is addressing complex control challenges and optimizing diverse operational objectives within microgrids and power distribution systems.

This Special Issue primarily focuses on the latest research concerning state-of-the-art technologies for the control and operation of microgrids and distribution systems. Topics of interest for publication include, but are not limited to:

  • Microgrids;
  • Power distribution systems;
  • Distributed energy resources;
  • Integration of renewable energy resources;
  • Optimization of operation;
  • Energy storage systems;
  • Smart charging and discharging of electric vehicles;
  • Advanced distribution management systems (ADMS);
  • Distributed energy resources management systems (DERMS);
  • Virtual power plants;
  • Demand side management;
  • Distribution system operator (DSO);
  • Machine learning and AI for power systems.

Prof. Dr. Il-Yop Chung
Prof. Dr. Seon-Ju Ahn
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

  • microgrids
  • power distribution systems
  • renewable energy resources
  • control methods
  • optimization techniques
  • energy management systems

Published Papers (4 papers)

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Research

19 pages, 2543 KiB  
Article
Current Sensorless Pole-Zero Cancellation Output Voltage Control for Uninterruptible Power Supply Systems with a Three-Phase Inverter
by Hosik Lee, Yonghun Kim and Seok-Kyoon Kim
Energies 2024, 17(7), 1738; https://doi.org/10.3390/en17071738 - 04 Apr 2024
Viewed by 406
Abstract
This article presents a proportional–derivative (PD) type output voltage regulator without the current feedback, taking into account system parameter and load variations. The main advantages are given as follows: First, the first-order output voltage derivative observer is developed without the requirement of system [...] Read more.
This article presents a proportional–derivative (PD) type output voltage regulator without the current feedback, taking into account system parameter and load variations. The main advantages are given as follows: First, the first-order output voltage derivative observer is developed without the requirement of system parameter information, which makes it possible to stabilize the system without current sensing. Second, a simple self-tuner implements the feedback-loop adaptation by updating the desired dynamics accordingly. Third, the observer-based active damping injection for the PD-type controller results in the closed-loop system order reduction to 1 by the pole-zero cancellation, including the disturbance observer as a feed-forward term. The prototype uninterruptible power supply system comprised of a 3 kW three-phase inverter, inductors, and capacitors verifies the practical merits of the proposed technique for linear and nonlinear loads. Full article
(This article belongs to the Special Issue Advanced Control and Operation of Microgrids and Power Distribution Systems)
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18 pages, 4289 KiB  
Article
Deep Learning-Based Algorithm for Internal Fault Detection of Power Transformers during Inrush Current at Distribution Substations
by Sopheap Key, Gyu-Won Son and Soon-Ryul Nam
Energies 2024, 17(4), 963; https://doi.org/10.3390/en17040963 - 19 Feb 2024
Viewed by 533
Abstract
The reliability and stability of differential protection in power transformers could be threatened by several types of inferences, including magnetizing inrush currents, current transformer saturation, and overexcitation from external faults. The robustness of deep learning applications employed for power system protection in recent [...] Read more.
The reliability and stability of differential protection in power transformers could be threatened by several types of inferences, including magnetizing inrush currents, current transformer saturation, and overexcitation from external faults. The robustness of deep learning applications employed for power system protection in recent years has offered solutions to deal with several disturbances. This paper presents a method for detecting internal faults in power transformers occurring simultaneously with inrush currents. It involves utilizing a data window (DW) and stacked denoising autoencoders. Unlike the conventional method, the proposed scheme requires no thresholds to discriminate internal faults and inrush currents. The performance of the algorithm was verified using fault data from a typical Korean 154 kV distribution substation. Inrush current variation and internal faults were simulated and generated in PSCAD/EMTDC, considering various parameters that affect an inrush current. The results indicate that the proposed scheme can detect the appearance of internal faults occurring simultaneously with an inrush current. Moreover, it shows promising results compared to the prevailing methods, ensuring the superiority of the proposed method. From sample N–3, the proposed DNN demonstrates accurate discrimination between internal faults and inrush currents, achieving accuracy, sensitivity, and precision values of 100%. Full article
(This article belongs to the Special Issue Advanced Control and Operation of Microgrids and Power Distribution Systems)
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20 pages, 13064 KiB  
Article
Comparative Analysis of PWM Techniques for Interleaved Full Bridge Converter in an AC Battery Application
by Tuan Anh Do, Quang Dich Nguyen, Phuong Vu, Minh Duc Ngo and Seon-Ju Ahn
Energies 2024, 17(2), 375; https://doi.org/10.3390/en17020375 - 12 Jan 2024
Viewed by 714
Abstract
The AC battery utilizing second-life time batteries has gained great interest currently with the advantages of both power solutions and economic benefits. In this system, the power converters play a crucial role in the stable and effective operation of the system. This paper [...] Read more.
The AC battery utilizing second-life time batteries has gained great interest currently with the advantages of both power solutions and economic benefits. In this system, the power converters play a crucial role in the stable and effective operation of the system. This paper focused on the AC/DC stage with the chosen topology being the interleaved full bridge (IFB) converter due to its flexibility and the ability to increase the power rate of the system. For the sake of high-performance operation, various pulse width modulation (PWM) methods for this converter are analyzed. First, based on the theory of the traditional PWM methods for a full bridge inverter in combination with the interleaved technique, this paper proposed three interleaved PWM methods for the IFB converter. Secondly, the proposed methods are theoretically compared in terms of the output current, common-mode voltage, and power losses. Finally, the evaluation is carried out by both the simulation and the experimental prototype, in which the results are in good agreement with the theoretical analysis. Full article
(This article belongs to the Special Issue Advanced Control and Operation of Microgrids and Power Distribution Systems)
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20 pages, 6519 KiB  
Article
Research on the Hybrid Wind–Solar–Energy Storage AC/DC Microgrid System and Its Stability during Smooth State Transitions
by Qiushuo Li, Xinwei Dong, Mengru Yan, Zhao Cheng and Yu Wang
Energies 2023, 16(24), 7930; https://doi.org/10.3390/en16247930 - 06 Dec 2023
Cited by 2 | Viewed by 617
Abstract
The hybrid AC/DC microgrid is an independent and controllable energy system that connects various types of distributed power sources, energy storage, and loads. It offers advantages such as a high power quality, flexibility, and cost effectiveness. The operation states of the microgrid primarily [...] Read more.
The hybrid AC/DC microgrid is an independent and controllable energy system that connects various types of distributed power sources, energy storage, and loads. It offers advantages such as a high power quality, flexibility, and cost effectiveness. The operation states of the microgrid primarily include grid-connected and islanded modes. The smooth switching between these two states is a key technology for ensuring the flexible and efficient operation of the microgrid. In this paper, the typical structure of an AC–DC hybrid microgrid and its coordination control strategy are introduced, and an improved microgrid model is proposed. Secondly, an adaptive current–voltage–frequency integrated control method based on signal compensation is proposed to solve the impulse current and voltage generated during the switching between a grid-connected state and an off-grid state. Finally, in response to unplanned grid-connected scenarios, an improved pre-synchronization control strategy based on BP neural networks is introduced to rapidly restore stable operation. The proposed control strategies enhanced the steady-state and transient stability of the hybrid wind–solar–energy storage AC/DC microgrid, achieving seamless grid-connected and islanded transitions without disturbances. The simulation and experimental results validated the correctness and effectiveness of the proposed theories. Full article
(This article belongs to the Special Issue Advanced Control and Operation of Microgrids and Power Distribution Systems)
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