Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.2
3.0
Journals
Energies
Special Issues
Optimal Planning, Integration and Control of Smart Microgrid Systems with...
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

Optimal Planning, Integration and Control of Smart Microgrid Systems with Renewable Energy: 2nd Edition

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

Deadline for manuscript submissions: 15 August 2025 | Viewed by 1251

Special Issue Editors

Dr. Pedro Manuel Soares Moura

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering (DEEC-UC), Institute of Systems and Robotics (ISR-UC), University of Coimbra, Coimbra, Portugal
Interests: energy efficiency; renewable energy; energy storage; smart grids
Special Issues, Collections and Topics in MDPI journals
Dr. Ana Soares

E-Mail Website
Guest Editor
Institute for Systems Engineering and Computers at Coimbra, University of Coimbra, 3030-290 Coimbra, Portugal
Interests: energy efficiency promotion; demand response; flexibility; optimization and smart grids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing penetration of distributed energy resources, such as solar photovoltaic generation and energy storage systems, as well as the integration of electric vehicles, has led to growing interest in the development of electric microgrids. Electric microgrids can work independently from the main utility grid and can be used to promote the installation of distributed energy generation, reduce energy costs, improve local power quality, increase the matching between local renewable generation and demand, and provide auxiliary services to the main grid. The use of electric microgrids is not only important to ensure the effective integration of distributed energy resources in buildings and urban communities, but is also becoming fundamental in providing solutions to applications where highly reliable energy supply service is required, where supply areas are isolated during catastrophic events, or when providing energy to remote locations isolated from the grid.

In such a context, the design, integration, and control of microgrids need to be properly planned and optimized in order to ensure technical and economic benefits for a large variety of stakeholders. This Special Issue aims to publish high-quality research and review papers related to the optimal planning, integration, and control of smart microgrid systems with renewable energy. Topics of interest for publication include, but are not limited to, the following:

  • Microgrids for large buildings;
  • Microgrids for urban communities;
  • Microgrids for energy access in rural areas;
  • The optimal integration of renewable energy resources in microgrids;
  • Transactive energy systems at the microgrid level;
  • Machine learning for the prediction of distributed energy resources;
  • Technical and economic optimization microgrids;
  • Integration of electric vehicles, energy storage systems, and demand response in microgrids.

Dr. Pedro Manuel Soares Moura
Dr. Ana Soares
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
  • renewable energy resources
  • prediction and optimization of microgrids
  • control and implementation of microgrids
  • transactive energy systems
  • electric vehicles
  • energy storage
  • demand response

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue policies can be found here.

Related Special Issue

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

37 pages, 11001 KiB  
Article
Enhancing Port Energy Autonomy Through Hybrid Renewables and Optimized Energy Storage Management
by Dimitrios Cholidis, Nikolaos Sifakis, Nikolaos Savvakis, George Tsinarakis, Avraam Kartalidis and George Arampatzis
Energies 2025, 18(8), 1941; https://doi.org/10.3390/en18081941 - 10 Apr 2025
Viewed by 307
Abstract
Hybrid renewable energy systems (HRESs) are being incorporated and evaluated within seaports to realize efficiencies, reduce dependence on grid electricity, and reduce operating costs. The paper adopts a genetic algorithm (GA)-based optimization framework to assess four energy management scenarios that embed wind turbines [...] Read more.
Hybrid renewable energy systems (HRESs) are being incorporated and evaluated within seaports to realize efficiencies, reduce dependence on grid electricity, and reduce operating costs. The paper adopts a genetic algorithm (GA)-based optimization framework to assess four energy management scenarios that embed wind turbines (WTs), photovoltaic energy (PV), an energy storage system (ESS), and an energy management system (EMS). The scenarios were developed based on different levels of renewable energy integration, energy storage utilization, and grid dependency to optimize cost and sustainability while reflecting the actual port energy scenario as the base case. Integrating HRES, ESS, and EMS reduced the port’s levelized cost of energy (LCOE) by up to 54%, with the most optimized system (Scenario 3) achieving a 53% reduction while enhancing energy stability, minimizing grid reliance, and maximizing renewable energy utilization. The findings show that the HRES configuration provides better cost, sustainability, and resiliency than the conventional grid-tied system. The unique proposed EMS takes it a step further, optimizing not just the energy flow but also the cost, making the overall system more efficient—and less costly—for the user. ESS complements energy storage and keeps it functional and reliable while EMS makes it completely functional by devising ways to reduce costs and enhance efficiency. The study presents the technical and economic viability of HRES as an economic and operational smart port infrastructure through its cost-effective integration of renewable energy sources. The results reinforce the move from conventional to sustainable autonomous port energy systems and lay the groundwork for forthcoming studies of DR-enhanced port energy management schemes. While prior studies have explored renewable energy integration within ports, many lack a unified, empirically validated framework that considers HRES, ESS, and EMS within real-world port operations. This research addresses this gap by developing an optimization-driven approach that assesses the techno-economic feasibility of port energy systems while incorporating real-time data and advanced control strategies. This study was conducted to enhance port infrastructure and evaluate the impact of HRES, ESS, and EMS on port sustainability and autonomy. By bridging the gap between theoretical modeling and practical implementation, it offers a scalable and adaptable solution for improving cost efficiency and energy resilience in port operations. Full article
(This article belongs to the Special Issue Optimal Planning, Integration and Control of Smart Microgrid Systems with Renewable Energy: 2nd Edition)
►▼ Show Figures

Figure 1

29 pages, 5108 KiB  
Article
Consideration of Wind-Solar Uncertainty and V2G Mode of Electric Vehicles in Bi-Level Optimization Scheduling of Microgrids
by Zezhou Chang, Xinyuan Liu, Qian Zhang, Ying Zhang, Ziren Wang, Yuyuan Zhang and Wei Li
Energies 2025, 18(4), 823; https://doi.org/10.3390/en18040823 - 11 Feb 2025
Viewed by 687
Abstract
In recent years, the global electric vehicle (EV) sector has experienced rapid growth, resulting in major load variations in microgrids due to uncontrolled charging behaviors. Simultaneously, the unpredictable nature of distributed energy output complicates effective integration, leading to frequent limitations on wind and [...] Read more.
In recent years, the global electric vehicle (EV) sector has experienced rapid growth, resulting in major load variations in microgrids due to uncontrolled charging behaviors. Simultaneously, the unpredictable nature of distributed energy output complicates effective integration, leading to frequent limitations on wind and solar energy utilization. The combined integration of distributed energy sources with electric vehicles introduces both opportunities and challenges for microgrid scheduling; however, relevant research to inform practical applications is currently insufficient. This paper tackles these issues by first introducing a method for generating typical wind–solar output scenarios through kernel density estimation and a combination strategy using Frank copula functions, accounting for the complementary traits and uncertainties of wind and solar energy. Building on these typical scenarios, a two-level optimization model for a microgrid is created, integrating demand response and vehicle-to-grid (V2G) interactions of electric vehicles. The model’s upper level aims to minimize operational and environmental costs, while the lower level seeks to reduce the total energy expenses of electric vehicles. Simulation results demonstrate that this optimization model improves the economic efficiency of the microgrid system, fosters regulated EV electricity consumption, and mitigates load variations, thus ensuring stable microgrid operation. Full article
(This article belongs to the Special Issue Optimal Planning, Integration and Control of Smart Microgrid Systems with Renewable Energy: 2nd Edition)
►▼ 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