Intelligent Energy Management Systems for Smart Grids: Algorithms, Optimization, and Control
A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "A1: Smart Grids and Microgrids".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 164
Special Issue Editor
Interests: esilient smart energy grid and micro-energy grid planning, control, and protection; advanced plasma generation and applications in fusion energy; advanced safety and control systems for nuclear power plants; safety engineering, fault diagnosis, and real-time simulation; risk-based energy conservation; smart green buildings; process systems engineering of the energy and nuclear facilities and oil and gas production plants
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleague,
This Special Issue will present the latest research methods, system developments, and technologies relating to intelligent energy management systems and their implementations within smart grids and community applications. Topics of interest include, but are not limited to, the following:
- Applied AI techniques for smart energy systems;
- Hybrid energy systems’ design, modelling, simulation, control, integration, planning, and management;
- Applied AI for energy policies;
- Hydrogen process technologies and infrastructure;
- Carbon capturing and storage technologies;
- Applied quantum AI and quantum energy;
- Intelligent energy management systems;
- Smart energy–water systems;
- Smart energy for clean transportation;
- Smart waste-to-energy process technologies;
- Interconnected infrastructure;
- Smart electronics.
Contributions from researchers, students, and professionals are welcomed to facilitate the discussion on state-of-the-art research and developments in these areas and to reflect potential implementations and projects in urban, remote, and waterfront communities, as well as industrial applications.
Prof. Dr. Hossam A. Gaber
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 energy
- energy management system
- applied AI
- hybrid energy systems
- quantum energy
- smart grid
- hydrogen process technologies
- energy–water
- clean transportation
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Planned Papers
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Dual Active Bridge Converter with Interleaved and Parallel Operation for EV Charging
Authors: Burak Muhammetoglu; Mohsin Jamil
Affiliation: Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John’s, NL
Abstract: Furthermore, the converter's design enables easy reconfiguration to meet the desired power output, vehicle type, and application needs, making it adaptable for future applications such as Vehicle-to-Grid (V2G) systems. The combination of these features—versatility in power output, efficient high-current transfer, innovative use of power semiconductors, and adaptability for future technologies—positions this DAB converter as a significant advancement in electric vehicle charging technology, offering a scalable solution to meet the evolving demands of electric mobility and renewable energy integration.
Title: Renewable Energy Infrastructures and Management Systems for All-electric Ship Operations
Authors: Jose Guizar, Larry E. Erickson, Jennifer Anthony, John Schlup
Affiliation: Kansas State University
Abstract: There is a need to reduce greenhouse gas emissions and air pollution associated with ships. The transition to all-electric ships is moving forward for short distances; however, there is a need for efficient battery charging and swapping to have sufficient energy for long trips. There is a need to provide a review of the literature and a global plan for development of infrastructure and a management plan to provide the needed energy for the transition to all-electric ship operations. The goal of this manuscript is to make a positive contribution toward having an infrastructure and management system for all-electric ship operations in the future.
Title: Technology Selection of High-Voltage Offshore Substations based on Artificial Intelligence
Authors: Tiago A. Antunes; Rui Castro; Paulo J. Santos; Armando J. Pires
Affiliation: CTS-UNINOVA, LASI, ESTSetubal, Polytechnic Institute of Setúbal
Abstract: This paper proposes an automated approach based on Artificial Intelligence (AI) to the technology selection of High-Voltage Alternating Current (HVAC) Offshore Substations (OHVS) for the integration of Oil & Gas (O&G) production and Offshore Wind Farms (OWF). Due to the complex regulatory landscape and project diversity, an innovative cost decision-model was developed based on Knowledge-Base Systems (KBS) and incorporated into an optioneering software named Transmission Optioneering Model (TOM). Equipped with an interactive dashboard, it uses detailed transmission and cost models, as well as a technological and commercial benchmarking of offshore projects to provide a standardized selection approach to OHVS design. By automating this process, we expedite the deployment of a technically sound and cost-effective connection, in an interactive sandbox environment. The decision-model takes as primary inputs the power rating requirements and the distance of the offshore target site and tests multiple voltage/rating configurations and associated costs to identify the most suitable (both technically and economically) interconnection setup. Since the TOM process relies on transmission models and a broad range of different projects, it is manufacturer agnostic and can be used across the board for virtually any site as a method that ensures both energy transmission and economic efficiency.
