Optimal Planning, Integration and Control of Smart Microgrid Systems with Renewable Energy

A special issue of Electricity (ISSN 2673-4826).

Deadline for manuscript submissions: closed (20 July 2024) | Viewed by 5504

Special Issue Editors


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Guest Editor
Institute of Systems and Robotics, Department of Electrical and Computer Engineering, University of Coimbra, 3030-290 Coimbra, Portugal
Interests: smart grids; energy planning; demand-side management; demand response; renewable energy; electric vehicles; energy storage
Special Issues, Collections and Topics in MDPI journals
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 order to provide solutions to applications where highly reliable energy supply service is required, supply areas isolated during catastrophic events, or provide energy supply in 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;
  • Microgrid for urban communities;
  • Microgrids for energy access in rural areas;
  • 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.

You may choose our Joint Special Issue in Energies.

Dr. Pedro S. Moura
Dr. Ana Soares
Guest Editors

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Keywords

  • microgrids
  • renewable energy resources
  • prediction and optimization of microgrids
  • control and implementation of microgrids
  • transactive energy systems
  • electric vehicles
  • energy storage
  • demand response

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Published Papers (2 papers)

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Research

29 pages, 2237 KiB  
Article
Average Modeling of High Frequency AC Link Three-Port DC/DC/DC Converters
by Eduardo Vasquez Mayen and Emmanuel De Jaeger
Electricity 2024, 5(2), 397-425; https://doi.org/10.3390/electricity5020021 - 17 Jun 2024
Viewed by 1303
Abstract
The current transition towards renewable energies has led to an increased utilization of Photovoltaic (PV) sources and battery energy storage systems to complement the PV panels. To facilitate energy transfer among PVs, batteries, and loads, multiple converters are required. Thus, this transformation in [...] Read more.
The current transition towards renewable energies has led to an increased utilization of Photovoltaic (PV) sources and battery energy storage systems to complement the PV panels. To facilitate energy transfer among PVs, batteries, and loads, multiple converters are required. Thus, this transformation in the energy system has resulted in an increase in converter-interfaced elements. Within this context, three-port converters allow for replacing multiple converters with a single one. These three-port converters use a high-frequency AC resonant link for the bidirectional transfer of energy across the different ports. This architecture uses multiple switches and has a variable operating frequency. These characteristics make the simulation of these converters computationally heavy. Thus, averaged models are required, especially for simulating multiple converters connected in parallel or composing a microgrid. In this paper, an averaged model for this type of converter is developed. The methodology is first demonstrated and applied to a two-port DC/DC converter, and subsequently extended to the three-port DC/DC/DC version. Afterwards, control strategies for three-port DC/DC/DC converters are proposed based on the elements connected to their ports. The developed model for three-port DC/DC/DC converters is then implemented in an islanded DC microgrid to demonstrate their parallel operation. The proposed developed averaged models and the test DC microgrid are implemented in MATLAB/Simulink. Full article
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16 pages, 1063 KiB  
Article
Maximizing Decarbonization Benefits of Transportation Electrification in the U.S.
by Pedro Moura, Anand Mohan, Sophia Lau and Javad Mohammadi
Electricity 2023, 4(1), 46-61; https://doi.org/10.3390/electricity4010004 - 1 Feb 2023
Cited by 2 | Viewed by 3032
Abstract
Transportation electrification can significantly reduce carbon footprint and accelerate the modernization of aging electric infrastructure. In the U.S., the growing adoption of electric vehicles (EVs) will significantly impact the electrical grid and associated greenhouse gas emissions, but with significant differences between the balancing [...] Read more.
Transportation electrification can significantly reduce carbon footprint and accelerate the modernization of aging electric infrastructure. In the U.S., the growing adoption of electric vehicles (EVs) will significantly impact the electrical grid and associated greenhouse gas emissions, but with significant differences between the balancing regions due to the diverse characteristics of their electrical grids. This work assesses the impacts associated with the increasing penetration of EVs in the U.S., considering the characteristics of the grid in the different regions, in order to discuss the needed strategies to maximize the future decarbonization benefits. The assessment considers the variation in generation mix profiles during the day in each region, as well as different charging profiles associated with home, work, and public charging. The results show that more ambitious policies for the increasing share of carbon-free generation in the regions with the highest emissions are needed, emphasizing incentives for the use of work and public charging, and ensuring effective management of the charging flexibility. Full article
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