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New Insights into Distributed Energy Systems

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

Deadline for manuscript submissions: 25 June 2024 | Viewed by 2631

Special Issue Editor


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Guest Editor
Department of Electrical and Information Engineering, Seoul National University of Science and Technology, Seoul 01811, Republic of Korea
Interests: power electronics and AC machine drive systems; AC/DC microgrid; renewable energy; distributed generation system; wind power generation system; design of DSP-based digital controllers; power conversion system and quality robust control; sensorless drive systems for AC machines
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Special Issue Information

Dear Colleagues,

As energy demand and environmental problems due to conventional fossil fuel are growing fast, distributed generations/energy using renewable energy sources such as wind turbines or photovoltaic systems are considered promising alternatives in electrical power generation systems. Indeed, the increase in demanded and consumed energy are making the environmental pollution and energy crisis problem a more serious issue, which triggers the research and development of distributed generation systems. Recently, several renewable energy sources such as wind and photovoltaic systems have been connected into electrical power systems as distributed generators. In general, power from renewable energy sources often fluctuates from time to time since renewable energy is highly dependent on natural conditions. To overcome such an output fluctuation, an energy storage system is usually adopted in electrical power systems. Since the direct interconnection of energy storage systems and distributed generation systems in utility grid leads to several control issues, the microgrid concept has been introduced as an effective and flexible way of integrating distributed generation power units. In microgrid, the AC grid, distributed generations, energy storage systems, and loads are interconnected through a power electronics converter as an interface among electrical power systems.

This Special Issue will focus on distributed generation systems, utilization of renewable energy sources, power system integration, energy storage systems, AC/DC microgrid, power electronics converter control, electric vehicles, and power system optimization. Both theoretical and experimental works are welcomed. Topics of interest for publication include but are not limited to:

  • Distributed energy systems
  • Renewable energy
  • Wind power generation systems
  • Photovoltaic generation systems
  • AC/DC microgrid
  • Power electronics interface
  • Power converter control design
  • Power conversion system and quality
  • Robust control

Prof. Dr. Kyeong-Hwa Kim
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 systems
  • renewable energy 
  • AC/DC microgrid 
  • power electronics interface

Published Papers (3 papers)

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Research

39 pages, 18434 KiB  
Article
Current Controller Design of Grid-Connected Inverter with Incomplete Observation Considering L-/LC-Type Grid Impedance
by Sung-Dong Kim, Thuy Vi Tran, Seung-Jin Yoon and Kyeong-Hwa Kim
Energies 2024, 17(8), 1855; https://doi.org/10.3390/en17081855 - 12 Apr 2024
Viewed by 267
Abstract
This paper presents a current control design for stabilizing an inductive-capacitive-inductive (LCL)-filtered grid-connected inverter (GCI) system under uncertain grid impedance and distorted grid environment. To deal with the negative impact of grid impedance, LC-type grid impedance is considered in both the system model [...] Read more.
This paper presents a current control design for stabilizing an inductive-capacitive-inductive (LCL)-filtered grid-connected inverter (GCI) system under uncertain grid impedance and distorted grid environment. To deal with the negative impact of grid impedance, LC-type grid impedance is considered in both the system model derivation and controller design process of an LCL-filtered GCI system. In addition, the integral and resonant control terms are also augmented into the system model in the synchronous reference frame to guarantee the reference tracking of zero steady-state error and good harmonic disturbance compensation of the grid-injected currents from GCI. By considering the effect of grid impedance on the control design process, an incomplete state feedback controller will be designed based on the linear-quadratic regulator (LQR) without damaging the asymptotic stabilization and robustness of the GCI system under uncertain grid impedance. By means of the closed-loop pole map evaluation, the asymptotic stability, robustness, and resonance-damping capability of the proposed current control scheme are confirmed even when all the system states are not available. In order to reduce the number of required sensors for the realization of the controller, a discrete-time current-type full-state observer is employed in this paper to estimate the system state variables with high precision. The feasibility and effectiveness of the proposed control scheme are demonstrated by the PSIM simulations and experiments by using a three-phase GCI prototype system under adverse grid conditions. The comprehensive evaluation results show that the designed control scheme maintains the stability and robustness of the LCL-filtered GCI when connecting to unexpected grids, such as harmonic distortion and L-type and LC-type grid impedances. As a result, the proposed control scheme successfully stabilizes the entire GCI system with high-quality grid-injected currents even when the GCI faces severe grid distortions and an extra grid dynamic caused by the L-type or LC-type grid impedance. Furthermore, low-order distortion harmonics come from the background grid voltages and are maintained as acceptable limits according to the IEEE Std. 1547-2003. Comparative test result with the conventional one also confirms the effectiveness of the proposed control scheme under LC-type grid impedance thanks to the consideration of LC grid impedance in the design process. Full article
(This article belongs to the Special Issue New Insights into Distributed Energy Systems)
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17 pages, 2748 KiB  
Article
Performance Evaluation of Multiple Machine Learning Models in Predicting Power Generation for a Grid-Connected 300 MW Solar Farm
by Obaid Aldosari, Salem Batiyah, Murtada Elbashir, Waleed Alhosaini and Kanagaraj Nallaiyagounder
Energies 2024, 17(2), 525; https://doi.org/10.3390/en17020525 - 22 Jan 2024
Cited by 1 | Viewed by 654
Abstract
Integrating renewable energy sources (RES), such as photovoltaic (PV) systems, into power system networks increases uncertainty, leading to practical challenges. Therefore, an accurate photovoltaic (PV) power prediction model is required to provide essential data that supports smooth power system operation. Hence, the work [...] Read more.
Integrating renewable energy sources (RES), such as photovoltaic (PV) systems, into power system networks increases uncertainty, leading to practical challenges. Therefore, an accurate photovoltaic (PV) power prediction model is required to provide essential data that supports smooth power system operation. Hence, the work presented in this paper compares and discusses the results of different machine learning (ML) techniques in predicting the power produced by the 300 MW Sakaka PV Power Plant in the north of Saudi Arabia. The validation of the presented work is performed using real-world operational data obtained from the specified solar farm. Several performance measures, including accuracy, precision, recall, F1 Score, and mean square error (MSE), are used in this work to evaluate the performance of the different ML approaches and determine the most precise prediction model. The obtained results show that the Support Vector Machine (SVM) with a Radial basis function (RBF) is the most effective approach for optimizing solar power prediction in large-scale solar farms. Full article
(This article belongs to the Special Issue New Insights into Distributed Energy Systems)
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19 pages, 5549 KiB  
Article
Grid-Tied Single-Phase Integrated Zeta Inverter for Photovoltaic Applications
by Anderson Aparecido Dionizio, Leonardo Poltronieri Sampaio, Sérgio Augusto Oliveira da Silva and Sebastián de Jesús Manrique Machado
Energies 2023, 16(9), 3622; https://doi.org/10.3390/en16093622 - 22 Apr 2023
Cited by 1 | Viewed by 1170
Abstract
Recently, the development of integrated inverters for photovoltaic systems has been widely performed to reduce overall system size, costs, and losses. Thus, integrated inverters have emerged as a prominent solution for replacing two-stage power conversion composed of a step-up converter and a voltage [...] Read more.
Recently, the development of integrated inverters for photovoltaic systems has been widely performed to reduce overall system size, costs, and losses. Thus, integrated inverters have emerged as a prominent solution for replacing two-stage power conversion composed of a step-up converter and a voltage source inverter. Thereby, this paper proposes an integrated inverter topology for single-phase grid-tied photovoltaic systems. The proposed power converter, called a Single-Phase Integrated Zeta Inverter (SP-IZI), can boost the input voltage and inject a sinusoidal and regulated current into the mains with low harmonic distortion. The SP-IZI is based on integrating modified DC-DC Zeta converters, designed and controlled to operate in a discontinuous conduction mode, and presents similarities with the Modified Zeta Inverter (MZI). In this way, this paper compares the main parameters of both topologies and provides a complete study of the SP-IZI, involving both quantitative and qualitative studies as well as a small signals analysis. The feasibility and functionality of the proposed SP-IZI inverter are presented and evaluated through experimental results, which demonstrate that the SP-IZI presents the following advantages compared to the MZI: (i) the voltage in coupling capacitors is 13% lower; (ii) voltage stresses in switches and diodes are 40% lower; and (iii) static gain is similar to the traditional Zeta converter. Full article
(This article belongs to the Special Issue New Insights into Distributed Energy Systems)
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