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Smart Grid and Energy Storage

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".

Deadline for manuscript submissions: 25 September 2024 | Viewed by 1517

Special Issue Editor

Dr. Adel Merabet

E-Mail Website
Guest Editor
Division of Engineering, Saint Mary’s University, Halifax, NS B3H 3C3, Canada
Interests: renewable energy; smart microgrid; control; estimation; artificial intelligence; automation; robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The guest editor is inviting submissions to a Special Issue of Energies on the subject area of “Smart Grid and Energy Storage”. Recent advances in the smart grid include the integration of renewable energy resources, improvement of energy efficiency, and decentralization of electric energy generation and distribution through small- to medium-scale electric infrastructures such as microgrids and nanogrids. Considering the intermittence of renewable energy resources, the demand variability, and to ensure energy resilience, energy storage can play a key role in achieving the objectives despite the different concerns. The architecture of the smart grid, integrated with energy storage, can be characterized by multiple complex energy systems of different natures that require optimization, management, and control for efficient operation to meet multiple benefits and objectives based on economic, social and health factors. The aim of this Special Issue is to explore innovative solutions and cover original research related to smart grids and energy storage. Topics of interest for publication include, but are not limited to, the following:

  • Smart grid
  • Renewable energy integration
  • Nanogrids and microgrids
  • Energy storage technologies
  • Integration of electric vehicles EVs as energy storage elements
  • Modeling, optimization, management and control of energy generation and storage systems
  • Forecasting of renewable energy and load demand
  • Load demand response
  • Life cycle analysis of energy storage
  • Internet of Things (IoT) and artificial intelligence (AI) applications in smart grids

Dr. Adel Merabet
Guest Editor

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

  • smart grid
  • energy storage
  • renewable energy integration
  • demand response

Published Papers (2 papers)

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Research

33 pages, 2783 KiB  
Article
Growing Importance of Micro-Meteorology in the New Power System: Review, Analysis and Case Study
by Huijun Zhang, Mingjie Zhang, Ran Yi, Yaxin Liu, Qiuzi Han Wen and Xin Meng
Energies 2024, 17(6), 1365; https://doi.org/10.3390/en17061365 - 12 Mar 2024
Viewed by 535
Abstract
With the increasing penetration of renewable energy resources, their variable, intermittent and unpredictable characteristics bring new challenges to the power system. These challenges require micro-meteorological data and techniques to provide more support for the power systems, including planning, dispatching, operation, and so on. [...] Read more.
With the increasing penetration of renewable energy resources, their variable, intermittent and unpredictable characteristics bring new challenges to the power system. These challenges require micro-meteorological data and techniques to provide more support for the power systems, including planning, dispatching, operation, and so on. This paper aims to provide readers with insights into the effects of micro-meteorology on power systems, as well as the actual improvement brought by micro-meteorology in some power system scenarios. This paper provides a review including the relevant micro-meteorological techniques such as observation, assimilation and numerical techniques, as well as artificial intelligence, presenting a relatively complete overview of the most recent and relevant micro-meteorology-related literature associated with power systems. The impact of micro-meteorology on power systems is analyzed in six different forms of power generation and three typical scenarios of different stages in the power system, as well as integrated energy systems and disaster prevention and reduction. Finally, a case study in China is provided. This case takes wind power prediction as an example in a power system to compare the performance when applying micro-meteorological data or not. The experimental results demonstrated that using the micro-meteorological reanalysis dataset with high spatial--temporal resolution for wind power prediction performed better, verifying the improvement of micro-meteorology to the power system to some extent. Full article
(This article belongs to the Special Issue Smart Grid and Energy Storage)
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18 pages, 3126 KiB  
Article
Research on Edge-Computing-Based High Concurrency and Availability “Cloud, Edge, and End Collaboration” Substation Operation Support System and Applications
by Yun Long, Yude Bao and Linjun Zeng
Energies 2024, 17(1), 194; https://doi.org/10.3390/en17010194 - 29 Dec 2023
Cited by 1 | Viewed by 640
Abstract
With the continuous promotion of digital transformation in the field of power transformation, the diversification of application scenarios, and the scale of pilot construction, the real-time, concurrency, and security requirements for data fusion and application support of the power monitoring system, management information [...] Read more.
With the continuous promotion of digital transformation in the field of power transformation, the diversification of application scenarios, and the scale of pilot construction, the real-time, concurrency, and security requirements for data fusion and application support of the power monitoring system, management information system, and other business platforms are getting higher and higher, and this paper puts forward a high concurrency and availability “cloud-side-end collaboration” based on edge computing. This paper proposes a high concurrency and availability “cloud, edge and end collaboration” architecture based on edge computing for substation operation support systems. First, this paper summarizes the development status of domestic substation operation support systems and analyzes the advantages and disadvantages of various technical architectures. Then, a “cloud-side-end cooperative” substation operation support system architecture with “high real-time, high concurrency, high security and high stability” is proposed, which focuses on remote inspection, remote operation, and remote safety control of substation businesses from the perspective of engineering applications. It realizes transparent monitoring of equipment operation, unified management of operation data, and integration of production command and decision-making; solves the problems of dispersed coexistence of multiple systems for dispatching, monitoring, analysis, management, and other businesses, switching between multiple systems, and insufficient real-time and stability of the system; and controls the risks of the grid, reduces the potential safety hazards, and solves the contradiction between the continuous growth of the grid equipment and the shortage of production personnel. The results of engineering application examples show that the proposed architecture compared with the existing system architecture has greater advantages and can meet the requirements of large-scale access to the substation, with feasible popularization and application. Full article
(This article belongs to the Special Issue Smart Grid and Energy Storage)
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