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Applied Sciences
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Advances in Smart Grids Control Systems
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Advances in Smart Grids Control Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Energy Science and Technology".

Deadline for manuscript submissions: 30 July 2024 | Viewed by 2087

Special Issue Editors

Dr. Cristian-Dragoș Dumitru

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Guest Editor
Department of Electrical Engineering and Information Technology, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Targu Mures, 540088 Târgu Mureș, Romania
Interests: grid integration of renewable energy resources; power quality; power systems reliability analysis; renewable power; energy systems engineering
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Gheorghe Grigoras

E-Mail Website
Guest Editor
Department of Power Engineering, “Gheorghe Asachi” Technical University of Iasi, 700050 Iasi, Romania
Interests: smart grids; applications of artificial intelligence in analysis; operation; control and management; optimization techniques; energy efficiency
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The integration of new advanced technologies into smart energy systems and grids requires a multi-dimensional understanding of and approach to energy demand, energy resources, infrastructure operation, security and costs issues. These technical, economic and, not least, environment-related challenges need a new complex addressing at both theoretical and practical levels. The finding of tangible solutions represents a quest for academia, industry and society in general, implying the exploring and development in searching of the technologies beyond the currently known horizons.

New ideas and findings in smart grids-related fields could offer the opportunity to enhance, optimize and increase energy availability and usage. Namely, these include the optimal and safe usage of available energy resources, efficient energy conversion control solutions, and power systems integration of distributed resources by assuring power quality, security and environment-neutral impact for long term and sustainable development.

This Special Issue aims to highlight novel, innovative and cutting-edge research to address current and future smart grids development and operation.

Dr. Cristian-Dragoș Dumitru
Prof. Dr. Gheorghe Grigoras
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. 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 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

  • smart grids
  • control strategies
  • control systems
  • distributed energy resources
  • energy management systems
  • power quality
  • grid integration of renewable energy systems
  • grid automation
  • demand-response
  • Internet of Things (IoT) in smart grids
  • cyber security, vehicle to grid (V2G)
  • storage systems

Published Papers (2 papers)

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Research

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19 pages, 1892 KiB  
Article
Low-Carbon Economic Dispatch of Integrated Energy Systems in Industrial Parks Considering Comprehensive Demand Response and Multi-Hydrogen Supply
by Bohua Su, Ruiqi Wang, Ming Wang, Mingyuan Wang, Qianchuan Zhao, Yisheng Lv and He Gao
Appl. Sci. 2024, 14(6), 2381; https://doi.org/10.3390/app14062381 - 12 Mar 2024
Viewed by 516
Abstract
To address the increasing hydrogen demand and carbon emissions of industrial parks, this paper proposes an integrated energy system dispatch strategy considering multi-hydrogen supply and comprehensive demand response. This model adopts power-to-gas technology to produce green hydrogen, replacing a portion of gray hydrogen [...] Read more.
To address the increasing hydrogen demand and carbon emissions of industrial parks, this paper proposes an integrated energy system dispatch strategy considering multi-hydrogen supply and comprehensive demand response. This model adopts power-to-gas technology to produce green hydrogen, replacing a portion of gray hydrogen and incorporates a carbon capture system to effectively reduce the overall carbon emissions of the industrial park. Meanwhile, incentive-based and price-based demand response strategies are implemented to optimize the load curve. A scheduling model is established targeting the minimization of procurement, operation, carbon emission, and wind curtailment costs. The case study of a northern industrial park in China demonstrates that the joint supply of green and gray hydrogen reduces carbon emissions by 40.98% and costs by 17.93% compared to solely using gray hydrogen. The proposed approach successfully coordinates the economic and environmental performance of the integrated energy system. This study provides an effective scheduling strategy for industrial parks to accommodate high shares of renewables while meeting hydrogen needs and carbon reduction targets. Full article
(This article belongs to the Special Issue Advances in Smart Grids Control Systems)
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Review

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18 pages, 761 KiB  
Review
A Review of Smart Grid Anomaly Detection Approaches Pertaining to Artificial Intelligence
by Marcelo Fabian Guato Burgos, Jorge Morato and Fernanda Paulina Vizcaino Imacaña
Appl. Sci. 2024, 14(3), 1194; https://doi.org/10.3390/app14031194 - 31 Jan 2024
Viewed by 1314
Abstract
The size of power grids and a complex technological infrastructure with higher levels of automation, connectivity, and remote access make it necessary to be able to detect anomalies of various kinds using optimal and intelligent methods. This paper is a review of studies [...] Read more.
The size of power grids and a complex technological infrastructure with higher levels of automation, connectivity, and remote access make it necessary to be able to detect anomalies of various kinds using optimal and intelligent methods. This paper is a review of studies related to the detection of anomalies in smart grids using AI. Digital repositories were explored considering publications between the years 2011 and 2023. Iterative searches were carried out to consider studies with different approaches, propose experiments, and help identify the most applied methods. Seven objects of study related to anomalies in SG were identified: attacks on data integrity, unusual measurements and consumptions, intrusions, network infrastructure, electrical data, identification of cyber-attacks, and use of detection devices. The issues relating to cybersecurity prove to be widely studied, especially to prevent intrusions, fraud, data falsification, and uncontrolled changes in the network model. There is a clear trend towards the conformation of anomaly detection frameworks or hybrid solutions. Machine learning, regression, decision trees, deep learning, support vector machines, and neural networks are widely used. Other proposals are presented in novel forms, such as federated learning, hyperdimensional computing, and graph-based methods. More solutions are needed that do not depend on a lot of data or knowledge of the network model. The use of AI to solve SG problems is generating an evolution towards what could be called next-generation smart grids. At the end of this document is a list of acronyms and terminology. Full article
(This article belongs to the Special Issue Advances in Smart Grids Control Systems)
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