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Energies
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Resilient and Cooperative Control of Heterogeneous Cyber-Physical Microgrids
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Resilient and Cooperative Control of Heterogeneous Cyber-Physical Microgrids

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

Deadline for manuscript submissions: closed (30 November 2021) | Viewed by 3651

Special Issue Editor

Dr. Jingang Lai

E-Mail Website
Guest Editor
Digital Grid Futures Institute and ARC Research Hub for Integrated Energy Storage Solutions, University of New South Wales, Sydney, NSW 2052, Australia
Interests: distributed intelligence and swarm intelligence of cyber-energy systems (i.e., DC/AC microgrids or microgrid clusters); nonlinear control and optimization in cyber-physical systems; AI-based control and security in cyber-physical systems

Special Issue Information

Dear Colleagues,

In recent years, we have witnessed the emerging and fast development of heterogeneous cyber-physical microgrids. Benefiting from the latest information technologies, heterogeneous cyber-physical microgrids enable seamless and direct connection between heterogeneous devices such as renewable energy, smart meters, flexible loads, and energy storage systems. However, this inevitably poses some technical and theoretical challenges in architecture design, control operation, and energy management. In order to address these challenges, it is essential for heterogeneous cyber-physical microgrids to develop new methods by taking into account underlying and advanced techniques such as multi-agent systems, artificial intelligence-based control, big data cloud computing and management, and so on. Thus, this Special Issue will focus on state-of-the-art advances and is seeking original contributions on the design and implementation of resilient and cooperative control and optimization algorithms as well as energy management for heterogeneous cyber-physical microgrids.

Dr. Jingang Lai
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

  • Multi-agent systems-based secure control of heterogeneous microgrids
  • Distributed resilient control and optimization in islanded heterogeneous microgrids
  • Resilient switching communication mechanisms of heterogeneous microgrids
  • The effects of communication constraints on stability of heterogeneous microgrids
  • Data-driven network communication mechanisms of heterogeneous microgrids
  • Distributed intelligence theories and technologies for heterogeneous microgrids
  • Experimental prototypes, test laboratories, and field trial experiences of artificial intelligence techniques in heterogeneous microgrid security

Published Papers (2 papers)

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Research

16 pages, 3698 KiB  
Article
Optimal Sensor Association and Data Collection in Power Materials Warehouse Based on Internet of Things
by Fangqiuzi He, Junfeng Xu, Jinglin Zhong, Guang Chen and Shixin Peng
Energies 2021, 14(21), 7449; https://0-doi-org.brum.beds.ac.uk/10.3390/en14217449 - 08 Nov 2021
Cited by 1 | Viewed by 1373
Abstract
In order to realize the intelligent management of a power materials warehouse, the Internet of Things based on wireless sensor networks (WSNs) is a promising effective solution. Considering the limited battery capacity of sensor nodes, the optimization of the topology control and the [...] Read more.
In order to realize the intelligent management of a power materials warehouse, the Internet of Things based on wireless sensor networks (WSNs) is a promising effective solution. Considering the limited battery capacity of sensor nodes, the optimization of the topology control and the determination of the amount of collected data are critical for prolonging the survival time of WSNs and increasing the satisfaction of the warehouse supplier. Therefore, in this paper, an optimization problem on sensor association and acquisition data satisfaction is proposed, and the subproblem of the sensor association is modeled as the knapsack problem. To cope with it, the block coordinate descent method is used to obtain the suboptimal solution. A sensor association scheme based on the ant colony algorithm (ACO) is proposed, and the upper and lower bounds of this optimization problem are also obtained. After this, a cluster head selection algorithm is given to find the optimal cluster head. Finally, the experimental simulations show that the algorithms proposed in this paper can effectively improve the energy utilization of WSNs to ensure the intelligent management of a power materials warehouse. Full article
(This article belongs to the Special Issue Resilient and Cooperative Control of Heterogeneous Cyber-Physical Microgrids)
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20 pages, 3646 KiB  
Article
Full-Order Terminal Sliding-Mode Control of Brushless Doubly Fed Induction Generator for Ship Microgrids
by Minghao Zhou, Hongyu Su, Yi Liu, William Cai, Wei Xu and Dong Wang
Energies 2021, 14(21), 7302; https://0-doi-org.brum.beds.ac.uk/10.3390/en14217302 - 04 Nov 2021
Cited by 2 | Viewed by 1604
Abstract
This paper proposes a full-order terminal sliding-mode (FOTSM) control scheme for brushless doubly fed induction generator (BDFIG)-based islanded microgrids. To deal with mismatched uncertainties in the BDFIG system, virtual control technique-based full-order sliding-mode control is applied to stabilize the amplitude and frequency of [...] Read more.
This paper proposes a full-order terminal sliding-mode (FOTSM) control scheme for brushless doubly fed induction generator (BDFIG)-based islanded microgrids. To deal with mismatched uncertainties in the BDFIG system, virtual control technique-based full-order sliding-mode control is applied to stabilize the amplitude and frequency of terminal voltage. In the current loops, two full-order terminal sliding-mode controllers are designed to make sure that the current tracking errors can reach their equilibrium points in finite time. It is demonstrated by the comprehensive simulations that the proposed method can significantly improve the tracking accuracy, the rapidness, and the robustness to the uncertainties of the BDFIG control system and can enhance the output voltage quality. Furthermore, an experimental study of the proposed control method for BDFIG-based islanded microgrids would be another important future work. Full article
(This article belongs to the Special Issue Resilient and Cooperative Control of Heterogeneous Cyber-Physical Microgrids)
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