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Energies
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Renewable Energy Sources and Distributed Generation
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Renewable Energy Sources and Distributed Generation

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

Deadline for manuscript submissions: closed (21 August 2024) | Viewed by 6228

Special Issue Editors

Dr. Minh-Chau Dinh

E-Mail Website
Guest Editor
Institute of Mechatronics, Changwon National University, Changwon 51140, Republic of Korea
Interests: power system analysis; FACTS; power electronic applications; wind energy; applications of digital twin
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Hae-Jin Sung

E-Mail Website
Guest Editor
Institute of Mechatronics, Changwon National University, Changwon 51140, Republic of Korea
Interests: modeling & simulation techniques for RES; RESSs for electrical vehicles and components; renewable energy systems and sources (RESSs) as wind energy, solar energy, wave energy, tidal energy, hydrogen & fuel cells; performance analysis of RESs; digital twin for RESSs

Special Issue Information

Dear Colleagues,

As the environmental impacts of fossil fuels have become more apparent over time, the need for sustainable energy provision will become increasingly critical on a worldwide scale over the next years. Distributed electricity generation based on renewable energy technologies (solar, wind, hydro, etc.,) is becoming a more important energy option in future generation systems. In addition to the advantages of clean energy sources and limitless capacity, distributed generation and renewable energy sources still have certain drawbacks, such as high costs, unpredictability (highly reliant on weather conditions), a threat to the stability and reliability of the power system, etc. Therefore, research and industry are collaborating to overcome technical and socio-economic difficulties in support of a future with decarbonized power to further enhance the capabilities of renewable energy and the benefits it provides to communities.

This Special Issue aims to present and disseminate the most recent advances related to renewable energy sources and distributed generation.

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

1) System Studies

  • Renewable energy systems and sources (RESSs) as wind energy, solar energy, wave energy, tidal energy, hydrogen and fuel cells;
  • Energy storage system for RESSs;
  • Integrated renewable energy system;
  • RESSs for electrical vehicles and components;
  • Microgrid/Smart grids and RESSs;
  • Energy management system, VPP (Virtual Power Plant) for RESSs.

2) Modeling, Analysis, and Control

  • Modeling and simulation techniques for renewable energy systems (RESs);
  • Control techniques for RESs;
  • Performance analysis of RESs.

3) Grid Integration and Optimal Operation

  • Grid integration studies for RESs and distributed generation;
  • Decision support systems for RESSs;
  • Reliability and maintenance in RESSs;
  • Artificial intelligence and machine learning studies for RESs and applications;
  • Digital twin for RESSs;
  • Output power forecasting for RESs.

Dr. Minh-Chau Dinh
Prof. Dr. Hae-Jin Sung
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

  • renewable energy systems (RESs)
  • distributed generations (DGs)
  • system studies of RESs and DGs
  • modeling, analysis, and control of RESs and DGs
  • grid connection studies for RESs and DGs
  • optimal operation of RESs and DGs

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Published Papers (4 papers)

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Research

15 pages, 1528 KiB  
Article
Comparative Policy Analysis of Renewable Energy Expansion in Mongolia and Other Relevant Countries
by Otgonpurev Nergui, Soojin Park and Kang-wook Cho
Energies 2024, 17(20), 5131; https://doi.org/10.3390/en17205131 - 15 Oct 2024
Viewed by 1004
Abstract
The study aims to conduct a comparative analysis of policies governing the expansion of renewable energy in Mongolia and selected countries. Against the backdrop of global energy transitions and Mongolia’s recent energy challenges, this research aims to identify and evaluate policy frameworks that [...] Read more.
The study aims to conduct a comparative analysis of policies governing the expansion of renewable energy in Mongolia and selected countries. Against the backdrop of global energy transitions and Mongolia’s recent energy challenges, this research aims to identify and evaluate policy frameworks that facilitate the sustainable growth of renewable energy sources. The study delves into the unique socio-economic and geopolitical context of Mongolia, emphasizing the nation’s energy dependence on Russia. The findings of this comparative analysis provide valuable insights for Mongolian policymakers, offering recommendations for enhancing domestic policies that encourage the diversification of energy sources and attract foreign investment. By drawing on successful practices from some countries, this paper aims to contribute to the formulation of effective and context-specific strategies for Mongolia to achieve a more sustainable and resilient energy landscape. Full article
(This article belongs to the Special Issue Renewable Energy Sources and Distributed Generation)
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21 pages, 4145 KiB  
Article
Ultra-Short-Term Wind Power Prediction Based on the ZS-DT-PatchTST Combined Model
by Yanlong Gao, Feng Xing, Lipeng Kang, Mingming Zhang and Caiyan Qin
Energies 2024, 17(17), 4332; https://doi.org/10.3390/en17174332 - 29 Aug 2024
Cited by 1 | Viewed by 922
Abstract
When using point-by-point data input with former series models for wind power prediction, the prediction accuracy decreases due to data distribution shifts and the inability to extract local information. To address these issues, this paper proposes an ultra-short-term wind power prediction model based [...] Read more.
When using point-by-point data input with former series models for wind power prediction, the prediction accuracy decreases due to data distribution shifts and the inability to extract local information. To address these issues, this paper proposes an ultra-short-term wind power prediction model based on the Z-score (ZS), Dish-TS (DT), and Patch time series Transformer (PatchTST). Firstly, to reduce the impact of data distribution shift on prediction accuracy, ZS standardization is applied to both training and testing datasets. Additionally, the DT algorithm, which can self-learn the mean and variance, is introduced for window data standardization. Secondly, the PatchTST model is employed to convert point input data into local-level input data. Feature extraction is then performed using the multi-head attention mechanism in the Encoder layer and a feed-forward network composed of one-dimensional convolution to obtain the prediction results. These results are subsequently de-standardized using DT and ZS to restore the original data amplitude. Finally, experimental analysis is conducted, comparing the proposed ZS-DT-PatchTST model with various prediction models. The proposed model achieves the highest prediction accuracy, with a mean absolute error of 5.95 MW, a mean squared error of 10.89 MW, and a coefficient of determination of 97.38%. Full article
(This article belongs to the Special Issue Renewable Energy Sources and Distributed Generation)
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18 pages, 4394 KiB  
Article
Design of an Improved Remaining Useful Life Prediction Model Based on Vibration Signals of Wind Turbine Rotating Components
by Thi-Tinh Le, Seok-Ju Lee, Minh-Chau Dinh and Minwon Park
Energies 2024, 17(1), 19; https://doi.org/10.3390/en17010019 - 19 Dec 2023
Cited by 1 | Viewed by 1495
Abstract
Faults in wind turbine rotating components contribute significantly to malfunctions and downtime. A prevalent strategy to reduce the Cost of Energy (CoE) in wind energy production focuses on minimizing maintenance expenses associated with these turbine components. An accurate Remaining Useful Life (RUL) diagnosis [...] Read more.
Faults in wind turbine rotating components contribute significantly to malfunctions and downtime. A prevalent strategy to reduce the Cost of Energy (CoE) in wind energy production focuses on minimizing maintenance expenses associated with these turbine components. An accurate Remaining Useful Life (RUL) diagnosis of these components is crucial for maintenance planning, ensuring uninterrupted energy quality and cost-efficiency. This paper introduces a refined method for RUL prediction of wind turbine rotating components using a Health Index (HI) derived from vibration signals. Performing HI construction by extracting all features from the vibration signal and selecting the best features to build HIs using on Principal Component Analysis (PCA) and some abnormal areas that deviate from the bearing damage trend can be eliminated. After constructing a HI use the similarity model and degradation models to predict RUL. Research results show that this degradation method can provide a reliable means to predict the RUL of wind turbine rotating components based on vibration signals. More importantly, predicting RUL in this way can significantly reduce operating and maintenance costs by providing wind turbine rotating operators with sufficient advance notice to plan repairs or replacements before any component failure occurs. Full article
(This article belongs to the Special Issue Renewable Energy Sources and Distributed Generation)
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14 pages, 1358 KiB  
Article
Analysis of the Implementation of Virtual Power Plants and Their Impacts on Electrical Systems
by Matheus Sabino Viana, Dorel Soares Ramos, Giovanni Manassero Junior and Miguel Edgar Morales Udaeta
Energies 2023, 16(22), 7682; https://doi.org/10.3390/en16227682 - 20 Nov 2023
Cited by 2 | Viewed by 1881
Abstract
The increasing penetration of Distributed Energy Resources (DERs) in Distribution Systems (DSs) has motivated studies on Virtual Power Plants (VPPs). However, few studies have jointly assessed the sizing and economic attractiveness of VPPs from the entrepreneur’s perspective and the potential benefits and impacts [...] Read more.
The increasing penetration of Distributed Energy Resources (DERs) in Distribution Systems (DSs) has motivated studies on Virtual Power Plants (VPPs). However, few studies have jointly assessed the sizing and economic attractiveness of VPPs from the entrepreneur’s perspective and the potential benefits and impacts on power systems while maintaining the scope to DSs. This study proposes a methodology for sizing VPPs and simulating their economic optimal dispatch and economic attractiveness with a focus on the entrepreneur’s viewpoint. In addition, it also evaluates VPPs’ potential benefits and impacts on a DS or Transmission System (TS) while considering the interface between the Distribution System Operator (DSO) and the Transmission System Operator (TSO). The methodology employs optimization to minimize the Net Present Cost (NPC) of the project, in relation to sizing the DERs, and to obtain the economic optimal dispatch of the BESSs that comprise the VPP. Moreover, a power flow analysis and probabilistic reliability assessment are used to evaluate the benefits and impacts on the power system. The methodology was applied to a case study involving Photovoltaic (PV) systems and Battery Energy Storage Systems (BESSs) used by aggregated medium voltage consumers, which configure Technical Virtual Power Plants (TVPPs) participating in Demand Response (DR) via incentives, with a network model of the Brazilian National Interconnected System (SIN) adapted from the 2030 Ten-Year Energy Expansion Plan (PDE) of the Energy Research Office (EPE), along with data from the Geographic Database of the Distribution Utility (BDGD). The results indicate the economic attractiveness of DERs according to the premises adopted and indicate improvements in TS reliability indexes with the possibility of TVPPs’ dispatch after transmission contingencies. Full article
(This article belongs to the Special Issue Renewable Energy Sources and Distributed Generation)
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