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Microgrids for E-mobility: Electrical Machines and Drives, Power Conversion and Energy Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Energy Sustainability".

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 8562

Special Issue Editors


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Guest Editor
Department of Engineering, University of Campania “Luigi Vanvitelli” , Via Roma 29, 81031 Aversa, CE, Italy
Interests: power electronic converters; electrical machines and drives
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Engineering, University of Cassino and South Lazio, Via Di Biasio 43, 03043 Cassino (Frosinone), Italy
Interests: power electronic converters; electrical machines and drives

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Guest Editor
Department of Astronautical, Electrical and Energy Engineering, Sapienza University of Rome, Via Delle Sette Sale 12/B, 00184 Rome, Italy
Interests: energy conversion; power systems; power electronic converters; electrical machines and drives
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite you to contribute to this Special Issue with your latest research on microgrids for e-mobility.

Pollution reduction is one of the biggest challenges of this century, since the energy growing demand affects the increase of the use of petroleum and carbon fossil fuel. A socially widespread prosperity is sustainable only by reducing the energy waste or by increasing the efficiency of each link of the supply chain from production to the user. In recent years, microgrids have been considered as the solution for e-mobility and also for civil energy production, since they allow optimizing the power density and efficiency of electrical devices, thus limiting their peak power and consequently optimizing their storage use. Several commercial realizations confirm that the field covers both the interests of the research community and the industry. The scope of the proposed Special Issue is to define the state-of-the-art for e-mobility microgrids, in order to give to readers the opportunity to select the best solution for their own applications.

This Special Issue invites original papers on but not limited to:

1) Microgrid and subsystem modeling;

2) Hardware in the loop methods with physical validation and tests;

3) Electrical generators, motor and drive design and testing;

4) Power electronic converter modeling and testing;

5) Energy management strategies and techniques;

6) Microgrid reliability and availability;

7) Fault detection.

Prof. Dr. Luigi Rubino
Dr. Paolo Conti
Dr. Guido Rubino
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. Sustainability 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 2400 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
  • smart grids
  • power converters and control
  • electrical machines
  • modeling
  • simulations of power electronic systems
  • electrical drives
  • protection systems
  • energy management
  • electric vehicles
  • charging stations
  • distributed power generation
  • power system protection
  • fault diagnosis and location
  • renewable energy sources
  • fault diagnosis in electrical machines
  • power supplies
  • converters in microgrid applications
  • power electronics in a smart grid
  • electric/hybrid vehicle converters
  • power system optimization
  • artificial intelligence for power systems
  • renewable energy
  • innovative control strategies for battery energy storage systems (BESS): electromobility and stationary applications
  • monitoring, control, and management
  • modeling and stability analysis
  • coordination and control of power electronic converters
  • networked and autonomous power management
  • efficiency and reliability
  • interfacing of renewable energy resources and energy storage
  • weak grid integration
  • integration and control schemes of distributed energy resources in power systems
  • advanced energy management system for power system
  • electric AC and DC drives
  • power converters
  • fault detection and tolerance
  • estimation and filtering

Published Papers (3 papers)

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Research

18 pages, 11030 KiB  
Article
A di/dt Detection Circuit for DC Unidirectional Breaker Based on Inductor Transient Behaviour
by Jeziel Vázquez, Elias J. J. Rodriguez, Jaime Arau and Nimrod Vázquez
Sustainability 2021, 13(16), 9466; https://doi.org/10.3390/su13169466 - 23 Aug 2021
Viewed by 2651
Abstract
In this paper, a di/dt detection circuit for DC breaker applications is proposed to provide faster short-circuit and overcurrent fault detection, where DC breakers are required to be designed for unidirectional fault current conditions, which is a challenge regarding DC microgrid applications due [...] Read more.
In this paper, a di/dt detection circuit for DC breaker applications is proposed to provide faster short-circuit and overcurrent fault detection, where DC breakers are required to be designed for unidirectional fault current conditions, which is a challenge regarding DC microgrid applications due to some associated problems such as long periods of fault interruption, complex circuit structure, and low reliability. The proposal, which is based on measurement of di/dt, can detect fault current conditions for different distances from the point of failure, and is suitable to operation in both islanding and grid-connected conditions. The proposed circuit was studied theoretically and experimentally in steady state, as well as under load changes and short circuit conditions to ensure proper operation, making this solution a fast current fault detection solution, which is a significant advantage and requirement in DC microgrid applications. Full article
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17 pages, 2087 KiB  
Article
Design of a Power System Supervisory Control with Linear Optimization for Electrical Load Management in an Aircraft On-Board DC Microgrid
by Luigi Rubino, Guido Rubino and Paolo Conti
Sustainability 2021, 13(15), 8580; https://doi.org/10.3390/su13158580 - 31 Jul 2021
Cited by 1 | Viewed by 2059
Abstract
In modern aircraft, energy supply management has become a critical matter, since many aboard electrical loads have to be supplied, especially those related to flight safety. However, at the same time, the size and weight of electrical generators must be limited because of [...] Read more.
In modern aircraft, energy supply management has become a critical matter, since many aboard electrical loads have to be supplied, especially those related to flight safety. However, at the same time, the size and weight of electrical generators must be limited because of their on-board installation. In this paper, the Mixed Integrated Linear Programming (MILP) methodology has been used to formulate the Supervisor definition of the direct current (DC) microgrid (MG) on-board system with an extension for the programmable loads. Due to the problem of dimension increase, two methods have been presented and tested to perform optimal energy management (EM) aboard an aircraft: the Branch and Bound (B&B) and the Linear Regression Approximation (LRA). Finally, numerical simulations and results have been provided to validate the proposed optimization methodologies, according to the dimensions and the complexity of the problem. Full article
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24 pages, 2045 KiB  
Article
Optimal Scheduling of Dynamic Pricing Based V2G and G2V Operation in Microgrid Using Improved Elephant Herding Optimization
by Vinay Kumar Jadoun, Nipun Sharma, Piyush Jha, Jayalakshmi N. S., Hasmat Malik and Fausto Pedro Garcia Márquez
Sustainability 2021, 13(14), 7551; https://doi.org/10.3390/su13147551 - 06 Jul 2021
Cited by 19 | Viewed by 2805
Abstract
The unpredictable nature of the loads and non-linearity of the components of microgrid systems make optimal scheduling more complex. In this paper, a deterministic optimal load-scheduling problem is developed for microgrids operating in both islanding and grid-connected mode under different energy scenarios. Various [...] Read more.
The unpredictable nature of the loads and non-linearity of the components of microgrid systems make optimal scheduling more complex. In this paper, a deterministic optimal load-scheduling problem is developed for microgrids operating in both islanding and grid-connected mode under different energy scenarios. Various cases are considered in this research, based on the interaction and dynamic behavior of the microgrid, considering electric vehicles (EVs) in the scenario. The aim of this research is to minimize the overall cost of microgrid operations. The concept of dynamic pricing has also been introduced in order to optimize the energy cost for the consumers. For ensuring the stability of the microgrids, a load variance index has been considered, and the fuzzy-based approach has been used for cost and load variance minimization to reduce the operation cost without compromising the stability of the microgrid. The grid-to-vehicle (G2V) and vehicle-to-grid (V2G) operations of EVs are integrated into the microgrid, which would help in valley filling and peak shaving of the loads during the off-peak and peak hours, respectively. In order to solve the proposed complex combinatorial optimization problem, elephant herding optimization (EHO) is modified and implemented. The performance of the proposed improved EHO (IEHO) is first tested on the latest CEC test functions. The results obtained by IEHO after 100 different trials are compared with the latest published methods and are found to be better based on the average value and the standard deviation for different CEC test functions. In addition, the simulation results obtained by particle swarm optimization (PSO), EHO, and proposed IEHO on a microgrid test system for different scenarios with all cases reveal that the proposed model with a mix of energy resources in the dynamic load dispatch environment bring the maximum benefits of microgrid systems. Furthermore, the results obtained from the simulation verifies that if free trade of power is allowed between the microgrids and the main grid, the process of power generation can be more economical, and further introduction of dynamic pricing into the scenario proves to be even cheaper. The implementation of the G2V and V2G operations of EVs operations in the proposed scenario not only helped in cost minimization but also helped in stabilizing the grid. Full article
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