Special Issue "Development of Energy Management in Distribution Networks with Energy Storage Systems"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Energy Systems".

Deadline for manuscript submissions: 30 September 2021.

Special Issue Editors

Dr. Ehsan Naderi
E-Mail Website
Guest Editor
School of Electrical, Computer, and Biomedical Engineering, Southern Illinois University, Carbondale, IL 62901, USA
Interests: Modern power system operation and planning; Renewable energy resources; Optimization and control
Dr. Mousa Marzband
grade E-Mail Website
Guest Editor
Department: Mathematics, Physics and Electrical Engineering, Northumbria University, Newcastle upon Tyne, Newcastle NE1 8QH, UK
Interests: smart grids; scheduling; active distribution networks
Special Issues and Collections in MDPI journals
Dr. Mahdi Pourakbari-Kasmaei
E-Mail Website
Guest Editor
Department of Electrical Engineering and Automation, Alto University, 02150 Espoo, Finland
Interests: power and energy systems; electric vehicle; high voltage; community energy systems; electricity markets
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Energy management is one of the most important processes in any power system, more specifically in active distribution systems where the dynamic behavior of different generation units and storage devices comes under the spotlight. Since renewable and nonrenewable energy sources along with energy storage systems are inextricably interconnected in modern-day distribution systems, their operation should be studied simultaneously. Nevertheless, such hybrid energy systems are a double-edged sword, and their pros and cons are tightly interwoven. As a case in point, the distributed generation units established in such systems have changed the dynamics of power networks and imposed a new category of challenges, such as operational time-hierarchy as well as real-time operation and control issues. Thus, it is crucial to precisely model the dynamic behavior of hybrid renewable energy systems and enhance their operation at the presence of storage units and electric vehicles. The main objectives of implementing distributed renewable resources in power systems can be itemized under the following categories.

  • Decreasing power losses,
  • Reducing operational costs
  • Increasing profit,
  • Enhancing the reliability of the system as well as the social welfare

Nowadays, security of the power systems is stressed more than ever, which is due to a higher involvement of different infrastructures such as electricity, gas, and information/communication technology. This results in a higher vulnerability of modern-day power grids, especially smart distribution systems to different types of cybersecurity issues, above all false data injection (FDI) attacks. Therefore, introducing comprehensive frameworks comprising both the assessing the impacts of cyberattacks and recovering the targeted system after such attacks is a must.

Accordingly, the primary aim of this Special Issue is to act as an interface between research and development for state-of-the-art application of intellectual processes in the development of energy management mechanisms in modern-day distribution networks integrated with renewable energy sources and storage devices. Toward this end, researchers from academia, industry, and government are invited to submit their original and unpublished work to this Special Issue. The topics covered in this issue comprise but are not limited to the following items.

  • Modeling and analyzing of active distribution networks at the presence of renewables and energy storage systems;
  • Harnessing the uncertainties imposed by renewable energy resources and controlling of power grids integrated with such resources
  • Optimization problems in modern-day hybrid renewable energy systems such as smart and microgrids
  • Modeling, detecting, and effective reacting to cyberattacks targeted different sectors of power systems
  • Implementing artificial intelligence in addressing energy management issues in modern-day power networks
  • Analyzing the performance of smart homes with demand response programs

Dr. Ehsan Naderi
Dr. Mousa Marzband
Dr. Mahdi Pourakbari-Kasmaei
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. Processes is an international peer-reviewed open access monthly 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.

Keywords

  • Renewable energy integration
  • Smart grid & microgrid
  • Energy storage system
  • Cybersecurity
  • Power market
  • Optimization algorithms

Published Papers (1 paper)

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Review

Review
State-of-the-Art of Optimal Active and Reactive Power Flow: A Comprehensive Review from Various Standpoints
Processes 2021, 9(8), 1319; https://doi.org/10.3390/pr9081319 - 29 Jul 2021
Viewed by 323
Abstract
Optimal power flow (OPF), a mathematical programming problem extending power flow relationships, is one of the essential tools in the operation and control of power grids. To name but a few, the primary goals of OPF are to meet system demand at minimum [...] Read more.
Optimal power flow (OPF), a mathematical programming problem extending power flow relationships, is one of the essential tools in the operation and control of power grids. To name but a few, the primary goals of OPF are to meet system demand at minimum production cost, minimum emission, and minimum voltage deviation. Being at the heart of power system problems for half a century, the OPF can be split into two significant categories, namely optimal active power flow (OAPF) and optimal reactive power flow (ORPF). The OPF is spontaneously a complicated non-linear and non-convex problem; however, it becomes more complex by considering different constraints and restrictions having to do with real power grids. Furthermore, power system operators in the modern-day power networks implement new limitations to the problem. Consequently, the OPF problem becomes more and more complex which can exacerbate the situation from mathematical and computational standpoints. Thus, it is crucially important to decipher the most appropriate methods to solve different types of OPF problems. Although a copious number of mathematical-based methods have been employed to handle the problem over the years, there exist some counterpoints, which prevent them from being a universal solver for different versions of the OPF problem. To address such issues, innovative alternatives, namely heuristic algorithms, have been introduced by many researchers. Inasmuch as these state-of-the-art algorithms show a significant degree of convenience in dealing with a variety of optimization problems irrespective of their complexities, they have been under the spotlight for more than a decade. This paper provides an extensive review of the latest applications of heuristic-based optimization algorithms so as to solve different versions of the OPF problem. In addition, a comprehensive review of the available methods from various dimensions is presented. Reviewing about 200 works is the most significant characteristic of this paper that adds significant value to its exhaustiveness. Full article
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