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Electronics
Special Issues
Advanced Power Converters and Drives in Smart Grid Systems
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Advanced Power Converters and Drives in Smart Grid Systems

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 1803

Special Issue Editors

Dr. Zuo Wang

E-Mail Website
Guest Editor
School of Automation, Southeast University, Nanjing 210096, China
Interests: advanced control theory and its application to power electronics and ac motor control systems
Dr. Junxiao Wang

E-Mail Website
Guest Editor
College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China
Interests: advanced control theory and its application to power electronics and motion control systems
Dr. Huiming Wang

E-Mail Website
Guest Editor
School of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Interests: design and applications of advanced control techniques to robotic and mechatronic systems

Special Issue Information

Dear Colleagues,

Encouraged by rapid technological achievements in smart grids and renewable energy systems, power electronic converters and drives have been involved in various electric applications, ranging from generation, storage, and transmission to consumption.  It is challenging to achieve accurate power regulation due to the system nonlinearities coupling with the states. Apart from this, it is well known that the control performance is always severely affected by parameter uncertainties and external disturbances. Limited control precision cannot satisfy the high requirements, especially under large external disturbances and model uncertainties. It is imperative to develop reliable, advanced controllers that can maintain a balance between the static and dynamic performances.

This Research Topic calls for contributions to address the challenges of advanced converters and drives in smart grid system. The topic welcomes manuscripts ranging from technical solutions on specific application scenarios to general surveys and tutorials. Possible themes include, but are not limited to:

  1. Artificial intelligence control and optimization design with the consideration for multiple converter and drive systems.
  2. Data-driven and learning-based control methods.
  3. Model predictive control in power converter and drive systems.
  4. Optimal and robust control with uncertainty and disturbance rejection.
  5. Reinforcement learning and deep-learning-assisted control methods.
  6. Distributed learning and optimization over network-connected converter and drive systems.
  7. Applications of learning or optimization-based control in power systems, drive systems, transportation systems, etc.

Dr. Zuo Wang
Dr. Junxiao Wang
Dr. Huiming Wang
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. Electronics 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.

Published Papers (2 papers)

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Research

30 pages, 16469 KiB  
Article
Control Method of Load Sharing between AC Machine and Energy Storage Bank in the DC Grid
by Maciej Kozak, Maciej Słodkowski and Seweryn Sawicki
Electronics 2024, 13(7), 1365; https://doi.org/10.3390/electronics13071365 - 04 Apr 2024
Viewed by 394
Abstract
The article presents the issues related to load-power sharing in direct-current grid and a novel control method has advantages over known solutions. Unlike many similar-sounding papers, this article shows an attempt at creating fully controllable non-isolated system that allows for load-power sharing between [...] Read more.
The article presents the issues related to load-power sharing in direct-current grid and a novel control method has advantages over known solutions. Unlike many similar-sounding papers, this article shows an attempt at creating fully controllable non-isolated system that allows for load-power sharing between a permanent magnet alternator equipped with machine-side converter (MSC) and a dual active bridge (DAB) tied to batteries or supercapacitor. The current-based load-power sharing is an essential feature of parallel-connected direct-current generators, and all types of voltage sources, in this way are contributing power to the system. To keep the optimal efficiency of the alternator, the rotational speed changes rely on proper mapping of the driving combustion engine. System components include a self-excited synchronous generator (SESG), operating at variable shaft speed, as well as batteries and supercapacitors that provide electricity for sudden electrical-load changes on the distribution grid. The core of the presented system is in a power-distribution method that consists of a programmed-controller structure allowing precise current distribution. A novelty of the proposed method is the use of a cascaded system of current and DC voltage regulators that allows for precise power-distribution control. In contrast with previously presented solutions, the proposed system allows for fast and accurate control of currents, loading parallel-connected DC voltage sources for wide-range generator speed changes. In the presented solution, both converters have been equipped with Schottky diodes, preventing the flow of equalizing currents between closed transistors in the parallel mode of operation. An experimental test-stand of the described system is presented with its theoretical basis and experimental results. Full article
(This article belongs to the Special Issue Advanced Power Converters and Drives in Smart Grid Systems)
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17 pages, 604 KiB  
Article
Iterative Design Algorithm for Robust Disturbance-Rejection Control
by Jixuan Li, Pan Yu, Nike Liu, Henan Zhao and Chunfang Liu
Electronics 2023, 12(9), 2114; https://doi.org/10.3390/electronics12092114 - 05 May 2023
Viewed by 1003
Abstract
An iterative design algorithm is developed for robust disturbance–rejection control of uncertain systems with time-varying parameter perturbations in this paper. For more design degrees of freedom, a generalized equivalent-input-disturbance estimator is adopted to approximate the effect of both disturbances and uncertainties. By the [...] Read more.
An iterative design algorithm is developed for robust disturbance–rejection control of uncertain systems with time-varying parameter perturbations in this paper. For more design degrees of freedom, a generalized equivalent-input-disturbance estimator is adopted to approximate the effect of both disturbances and uncertainties. By the bound real lemma, the H∞ norm is used to evaluate the robust disturbance–rejection performance of the closed-loop uncertain system. To avoid the constraints introduced by the widely used commutative condition, the control gains are divided into two groups and calculated by steps. Further, two robust quadratic stability conditions are derived, and an iterative design algorithm is developed to optimize the robust H∞ disturbance–rejection performance. Finally, the effectiveness and advantages of the developed method are demonstrated by a case study of a suspension system of modern vehicles. Full article
(This article belongs to the Special Issue Advanced Power Converters and Drives in Smart Grid Systems)
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