Special Issue "Microgrids/Nanogrids Implementation, Planning, and Operation"

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 15 June 2022.

Special Issue Editors

Prof. Dr. Mohamed Benbouzid
E-Mail Website
Guest Editor
Institut de Recherche Dupuy de Lôme (UMR CNRS 6027 IRDL), University of Brest, 29238 Brest, France
Interests: tidal and wave power; wind power; microgrids; energy management; fault detection and diagnosis; fault-tolerant control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Microgrids can allow a better integration of distributed energy storage capacity and renewable energy sources into the power grid, therefore increasing its efficiency and resilience to natural and man-caused disruptive events. In addition, microgrids and nanogrids are potential solutions for providing a better electrical service to both insufficiently supplied and remote areas. Microgrids networking with an optimal energy management will lead to a sort of smart grid with numerous benefits, such as reduced cost, and enhanced reliability and resiliency.

The objective of this Special Issue is to address and disseminate state-of the-art research and results on the implementation, planning, and operation of microgrids/nanogrids, for which energy management is one of the core issues. Topics of interest include, but are not limited to:

– Implementation of control and optimization techniques in grid-connected and islanded modes;

– Peer-to-peer energy management systems in community microgrid;

– Peer-to-peer energy trading in microgrids;

– Power grid resilience enhancement through microgrid facilities;

– Self-healing strategies for resilience purpose;

– Power quality assessment and improvement;

– Microgrids transformation into virtual power plants;

– Mobility-aware vehicle-to-grid control in microgrids

– Building an (nanogrid-) integrated energy management and monitoring system;

– Maritime applications: shipboard microgrids, offshore platforms, and port electrification;

– Aerospace applications: satellite microgrids, spacecraft power systems, and moon/mars station microgrids;

– Applied IoT architecture and communication technologies for smart microgrids;

– Smart enabling technologies for the effective penetration of microgrids.

Prof. Dr. Mohamed Benbouzid
Prof. S. M. Muyeen
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 papers will be 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. Applied Sciences 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 2000 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.

 

Published Papers (5 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Jump to: Review

Article
Sizing and Sitting of DERs in Active Distribution Networks Incorporating Load Prevailing Uncertainties Using Probabilistic Approaches
Appl. Sci. 2021, 11(9), 4156; https://doi.org/10.3390/app11094156 - 01 May 2021
Cited by 2 | Viewed by 568
Abstract
In this study, a microgrid scheme encompassing photovoltaic panels, an energy storage system, and a diesel generator as a backup supply source is designed, and the optimal placement for installation is suggested. The main purpose of this microgrid is to meet the intrinsic [...] Read more.
In this study, a microgrid scheme encompassing photovoltaic panels, an energy storage system, and a diesel generator as a backup supply source is designed, and the optimal placement for installation is suggested. The main purpose of this microgrid is to meet the intrinsic demand without being supplied by the upstream network. Thus, the main objective in the design of the microgrid is to minimize the operational cost of microgrid’s sources subject to satisfy the loads by these sources. Therefore, the considered problem in this study is to determine the optimal size and placement for generation sources simultaneously for a microgrid with the objectives of minimization of cost of generation resources along with mitigation of power losses. In order to deal with uncertainties of PV generation and load forecasting, the lognormal distribution model and Gaussian process quantile regression (GPQR) approaches are employed. In order to solve the optimization problem, the lightning attachment procedure optimization (LAPO) and artificial bee colony (ABC) methods are employed, and the results are compared. The results imply the more effectiveness and priority of the LAPO approach in comparison with ABC in convergence speed and the accuracy of solution-finding. Full article
(This article belongs to the Special Issue Microgrids/Nanogrids Implementation, Planning, and Operation)
Show Figures

Figure 1

Article
Robust Resonant Controllers for Distributed Energy Resources in Microgrids
Appl. Sci. 2020, 10(24), 8905; https://doi.org/10.3390/app10248905 - 14 Dec 2020
Viewed by 726
Abstract
Motivated by the problem of different types and variations of load in micro-grids, this paper presents robust proportional-resonant controllers with a harmonics compensator based on the internal model principle. These controllers ensure robust tracking of sinusoidal reference signals in distributed energy resource systems [...] Read more.
Motivated by the problem of different types and variations of load in micro-grids, this paper presents robust proportional-resonant controllers with a harmonics compensator based on the internal model principle. These controllers ensure robust tracking of sinusoidal reference signals in distributed energy resource systems subject to load variation with respect to sinusoidal disturbances. The distributed generation resource and the resonant controllers are described using the augmented state system approach, allowing the application of the state feedback technique. In order to minimize the tracking error and ensure robustness against perturbation, a set of linear matrix inequalities (LMIs) are addressed for the synthesizing of controller gains. Finally, results obtained in the simulation for resonant compensators with the distributed energy system are presented, in which the controller is applied to the CC-CA inverter. Full article
(This article belongs to the Special Issue Microgrids/Nanogrids Implementation, Planning, and Operation)
Show Figures

Figure 1

Article
Development and Implementation of a Novel Optimization Algorithm for Reliable and Economic Grid-Independent Hybrid Power System
Appl. Sci. 2020, 10(18), 6604; https://doi.org/10.3390/app10186604 - 21 Sep 2020
Cited by 8 | Viewed by 1185
Abstract
Recently, fast uptake of renewable energy sources (RES) in the world has introduced new difficulties and challenges; one of the most important challenges is providing economic energy with high efficiency and good quality. To reach this goal, many traditional and smart algorithms have [...] Read more.
Recently, fast uptake of renewable energy sources (RES) in the world has introduced new difficulties and challenges; one of the most important challenges is providing economic energy with high efficiency and good quality. To reach this goal, many traditional and smart algorithms have been proposed and demonstrated their feasibility in obtaining the optimal solution. Therefore, this paper introduces an improved version of Bonobo Optimizer (BO) based on a quasi-oppositional method to solve the problem of designing a hybrid microgrid system including RES (photovoltaic (PV) panels, wind turbines (WT), and batteries) with diesel generators. A comparison between traditional BO, the Quasi-Oppositional BO (QOBO), and other optimization techniques called Harris Hawks Optimization (HHO), Artificial Electric Field Algorithm (AEFA) and Invasive Weed Optimization (IWO) is carried out to check the efficiency of the proposed QOBO. The QOBO is applied to a stand-alone hybrid microgrid system located in Aswan, Egypt. The results show the effectiveness of the QOBO algorithm to solve the optimal economic design problem for hybrid microgrid power systems. Full article
(This article belongs to the Special Issue Microgrids/Nanogrids Implementation, Planning, and Operation)
Show Figures

Figure 1

Article
Long-Term Forecasting Potential of Photo-Voltaic Electricity Generation and Demand Using R
Appl. Sci. 2020, 10(13), 4462; https://doi.org/10.3390/app10134462 - 28 Jun 2020
Cited by 3 | Viewed by 610
Abstract
For micro-grid cost-benefit analyses, both energy production and demand must be estimated on the long-term of one year. However, there remains a scarcity of studies predicting energy production and demand simultaneously and in the long-term. By means of programming in R and applying [...] Read more.
For micro-grid cost-benefit analyses, both energy production and demand must be estimated on the long-term of one year. However, there remains a scarcity of studies predicting energy production and demand simultaneously and in the long-term. By means of programming in R and applying linear, non-linear, and support vector regression, we show the in depth analysis of the data of a micro-grid on solar power generation and building energy demand and its potential to be modeled simultaneously on the term of one year, in relation to electricity costs. We found solar power generation is linearly related to solar irradiance, but the effect of temperature on total output was less pronounced than anticipated. Building energy demand was found to be related to multiple parameters of both time and weather, and could be estimated through a quadratic function in relation to temperature. Models for both solar power generation and building energy demand could predict electricity costs within 8% of actual costs, which is not yet the ideal accuracy, but shows potential for future studies. These results provide important statistics for future studies where building energy consumption of any building type is correlated in detail to various time and weather parameters. Full article
(This article belongs to the Special Issue Microgrids/Nanogrids Implementation, Planning, and Operation)
Show Figures

Figure 1

Review

Jump to: Research

Review
A Comprehensive Motivation of Multilayer Control Levels for Microgrids: Synchronization, Voltage and Frequency Restoration Perspective
Appl. Sci. 2020, 10(23), 8355; https://doi.org/10.3390/app10238355 - 24 Nov 2020
Cited by 2 | Viewed by 832
Abstract
The current paradigm in integrating intermittent renewable energy sources into microgrids presents various technical challenges in terms of reliable operation and control. This paper performs a comprehensive justification of microgrid trends in dominant control strategies. It covers multilayer hierarchical control schemes, which are [...] Read more.
The current paradigm in integrating intermittent renewable energy sources into microgrids presents various technical challenges in terms of reliable operation and control. This paper performs a comprehensive justification of microgrid trends in dominant control strategies. It covers multilayer hierarchical control schemes, which are able to integrate seamlessly with coordinated control strategies. A general overview of the hierarchical control family that includes primary, secondary, tertiary controls is presented. For power sharing accuracy and capability, droop and non-droop-based controllers are comprehensively studied to address further development. The voltage and frequency restoration techniques are discussed thoroughly based on centralized and decentralized method in order to highlights the differences for better comprehend. The comprehensive studies of grid synchronization strategies also overviewed and analyzed under balanced and unbalanced grid conditions. The details studies for each control level are displayed to highlight the benefits and shortcomings of each control method. A future prediction from the authors’ point of view is also provided to acknowledge which control is adequate to be adopted in proportion to their products applications and a possibility technique for self-synchronization is given in this paper. Full article
(This article belongs to the Special Issue Microgrids/Nanogrids Implementation, Planning, and Operation)
Show Figures

Figure 1

Back to TopTop