Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.5
3.2
Journals
Energies
Special Issues
Renewable Energy Sources and Distributed Generation
energies-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

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: 21 August 2024 | Viewed by 2385

Special Issue Editors

Dr. Minh-Chau Dinh

E-Mail Website
Guest Editor
Institute of Mechatronics, Changwon National University, Changwon 51140, Republic of Korea
Interests: electrical system modeling & analysis; realtime simulation; FACTS devices applied power system; renewable energy systems & sources; digital twin
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

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

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
Viewed by 789
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)
►▼ Show Figures

Figure 1

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 1 | Viewed by 1022
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)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop