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
Power System Planning and Resource Management in Microgrids
energies-logo
Submit to Energies Review for Energies Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Power System Planning and Resource Management in Microgrids

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "F: Electrical Engineering".

Deadline for manuscript submissions: closed (31 August 2021) | Viewed by 4778

Special Issue Editors

Dr. Abdollah Ahmadi

E-Mail Website
Guest Editor
School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia
Interests: renewable energy systems; smart grids; electricity markets; power system operation and restructuring
Dr. Foad Heidari Gandoman

E-Mail Website
Guest Editor
MOBI Research Group, Department ETEC, Vrije Universiteit Brussel, Pleinlaan 2, 1050, Brussels, Belgium
Interests: renewable energies; reliability and safety; energy storage/batteries; electric vehicles
Special Issues, Collections and Topics in MDPI journals
Dr. Shady H. E. Abdel Aleem

E-Mail Website
Guest Editor
Department of Electrical Engineering, Valley Higher Institute of Engineering and Technology, Science Valley Academy, Qalyubia 44971, Egypt
Interests: power quality; optimization; renewable energy; smart grids
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Microgrids are local energy providers that improve the power distribution network’s performance and reduce gas emissions and energy consumption through distributed energy resources (DERs). They comprise different types of DERs, energy storage systems, and electrical loads. They can operate either with the grid (grid-connected mode) or without it (islanded mode) to create an efficient and more economical system with enhanced power quality and reliability, increased energy efficiency, and reduced environmental pollution. However, some challenges have been presented in the design, control, and efficient use of microgrids and nanogrids in modern electric networks. Furthermore, increasing on-demand electricity and the number of local DGs, electric vehicles, local stationary batteries, and fast charging points with high-power distribution networks have challenged infrastructure.  Therefore, DG placement and the online and offline management of the microgrids need to be optimized. In this Special Issue, we are calling for original contributions that cover the challenges emerging in microgrid studies due to the large-scale integration of renewable energy sources. This includes problem descriptions, the application of new optimization methodologies in power-system planning, resource management, enhancing microgrid performance, uncertainty/sensitivity calculations, case studies, applications, and enhancement technologies.

Dr. Abdollah Ahmadi
Dr. Foad Heidari Gandoman
Dr. Shady H.E. Abdel Aleem
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

  • Power system planning
  • Renewable energy integration
  • Micro- and nanogrids
  • Resource management
  • Reliability
  • Uncertainty
  • Optimization
  • Decision making
  • Distributed generation
  • Electricity markets
  • Energy storage
  • Power quality
  • Electric vehicles.

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

25 pages, 10441 KiB  
Article
Optimal Allocation and Planning of Distributed Power Generation Resources in a Smart Distribution Network Using the Manta Ray Foraging Optimization Algorithm
by Masoud Zahedi Vahid, Ziad M. Ali, Ebrahim Seifi Najmi, Abdollah Ahmadi, Foad H. Gandoman and Shady H. E. Abdel Aleem
Energies 2021, 14(16), 4856; https://0-doi-org.brum.beds.ac.uk/10.3390/en14164856 - 09 Aug 2021
Cited by 6 | Viewed by 1591
Abstract
In this study, optimal allocation and planning of power generation resources as distributed generation with scheduling capability (DGSC) is presented in a smart environment with the objective of reducing losses and considering enhancing the voltage profile is performed using the manta ray foraging [...] Read more.
In this study, optimal allocation and planning of power generation resources as distributed generation with scheduling capability (DGSC) is presented in a smart environment with the objective of reducing losses and considering enhancing the voltage profile is performed using the manta ray foraging optimization (MRFO) algorithm. The DGSC refers to resources that can be scheduled and their generation can be determined based on network requirements. The main purpose of this study is to schedule and intelligent distribution of the DGSCs in the smart and conventional distribution network to enhance its operation. First, allocation of the DGSCs is done based on weighted coefficient method and then the scheduling of the DGSCs is implemented in the 69-bus distribution network. In this study, the effect of smart network by providing real load in minimizing daily energy losses is compared with the network includes conventional load (estimated load as three-level load). The simulation results cleared that optimal allocation and planning of the DGSCs can be improved the distribution network operation with reducing the power losses and also enhancing the voltage profile. The obtained results confirmed superiority of the MRFO compared with well-known particle swarm optimization (PSO) in the DGSCs allocation. The results also showed that increasing the number of DGSCs reduces more losses and improves more the network voltage profile. The achieved results demonstrated that the energy loss in smart network is less than the network with conventional load. In other words, any error in forecasting load demand leads to non-optimal operating point and more energy losses. Full article
(This article belongs to the Special Issue Power System Planning and Resource Management in Microgrids)
►▼ Show Figures

Figure 1

24 pages, 3889 KiB  
Article
Energy Saving Maximization of Balanced and Unbalanced Distribution Power Systems via Network Reconfiguration and Optimum Capacitor Allocation Using a Hybrid Metaheuristic Algorithm
by Mohamed Abd-El-Hakeem Mohamed, Ziad M. Ali, Mahrous Ahmed and Saad F. Al-Gahtani
Energies 2021, 14(11), 3205; https://0-doi-org.brum.beds.ac.uk/10.3390/en14113205 - 30 May 2021
Cited by 12 | Viewed by 2180
Abstract
The main aim of this work was the maximization of the energy saving of balanced and unbalanced distribution power systems via system reconfiguration and the optimum capacitor’s bank choice, which were estimated by using a new algorithm: modified Tabu search and Harper sphere [...] Read more.
The main aim of this work was the maximization of the energy saving of balanced and unbalanced distribution power systems via system reconfiguration and the optimum capacitor’s bank choice, which were estimated by using a new algorithm: modified Tabu search and Harper sphere search (MTS-HSSA). The results demonstrated that the proposed method is appropriate for energy saving and improving performance compared with other methods reported in the literature for IEEE 33-bus adopted systems, including large scale systems such as IEEE 119 and the IEEE 123 unbalanced distribution system. Moreover, it can be used for unbalanced distribution systems distributed generators (DGs). The results demonstrated that the proposed method (the optimal choice of shunt capacitor (SC) banks and the optimal reconfiguration via the proposed algorithm) is appropriate for energy saving compared with different strategies for energy saving, which included distributed generation (DG) at different cost levels. Full article
(This article belongs to the Special Issue Power System Planning and Resource Management in Microgrids)
►▼ 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