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Applied Sciences
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Digital Control of Power Electronics Converters
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Digital Control of Power Electronics Converters

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

Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 5997

Special Issue Editor

Dr. José Gabriel Oliveira Pinto

E-Mail Website
Guest Editor
Departamento de Electrónica Industrial, Universidade do Minho, Campus de Azurém, 4800-058 Guimarães, Portugal
Interests: power electronics; power quality; active power conditioners; renewable energy systems; electric vehicles; digital control of power electronics converters
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Over the last few decades, digital control methods and digital controllers have become standard in power electronic converters. The flexibility, ease of upgrading, possibility of executing sophisticated control techniques, and simple implementation of human–machine interfaces are just some of the reasons for the supremacy of digital controllers.

The extraordinary evolution observed in recent years, in terms of microcontrollers (MCUs), digital signal processors (DSPs) and programmable logic devices (CPLDs and FPGAs), has enabled high-performance digital control platforms with a reduced number of components at very competitive prices, thus minimizing the main disadvantages noted about digital controllers; namely, the high cost and low dynamic performance caused by the limited sampling frequency, quantization and computation delays.

This Special Issue of Applied Sciences intends to collect and disseminate the latest research and development related to “Digital Control of Power Electronics Converters”. The topics of interest include, but are not limited to:

  • Predictive control of power electronics converters
  • Sliding mode control of power electronics converters
  • Adaptive control in power electronics converters and applications
  • Fuzzy logic in power electronics converters and applications
  • Neural networks in power electronics converters and applications
  • Genetic algorithms in power electronics converters and applications
  • Fault detection and fault-tolerant control of power electronics converters
  • Power flow control and optimization algorithms
  • Advanced modulation and control strategies
  • Advanced grid synchronization techniques
  • New power electronics converters
  • Multilevel converters
  • Matrix converters
  • High voltage dc systems
  • Smart grids
  • Microgrids
  • Energy storage systems
  • Distributed generation
  • Renewable energy systems
  • Electric vehicles
  • Power quality

Dr. José Gabriel Oliveira Pinto
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. 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.

Published Papers (2 papers)

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22 pages, 6142 KiB  
Article
Deadbeat Predictive Current Control for Circulating Currents Reduction in a Modular Multilevel Converter Based Rail Power Conditioner
by Mohamed Tanta, J. G. Pinto, Vitor Monteiro, Antonio P. Martins, Adriano S. Carvalho and Joao L. Afonso
Appl. Sci. 2020, 10(5), 1849; https://doi.org/10.3390/app10051849 - 08 Mar 2020
Cited by 10 | Viewed by 3174
Abstract
This paper presents a deadbeat predictive current control methodology to reduce the circulating currents in a modular multilevel converter (MMC) when it operates as a rail power conditioner (RPC) in a conventional railway system-based V/V connection. For this purpose, a half-bridge MMC based [...] Read more.
This paper presents a deadbeat predictive current control methodology to reduce the circulating currents in a modular multilevel converter (MMC) when it operates as a rail power conditioner (RPC) in a conventional railway system-based V/V connection. For this purpose, a half-bridge MMC based on half-bridge submodules, operating as an RPC is explained, and the total system is denominated as a simplified rail power conditioner (SRPC). The SRPC in this study is used to compensate harmonics, reactive power, and the negative sequence component of currents. This paper explains the SRPC system architecture, the key control algorithms, and the deadbeat predictive current control methodology. Mathematical analysis, based on the MMC equivalent circuit, is described and the reference equations are presented. Moreover, simulation results of the deadbeat predictive current control methodology are compared with the results of the conventional proportional-integral (PI) controller. This comparison is to verify the effectiveness of the proposed control strategy. Simulation results of the SRPC show reduced circulating currents in the MMC phases when using the predictive control approach, besides accomplishing power quality improvement at the three-phase power grid side. Full article
(This article belongs to the Special Issue Digital Control of Power Electronics Converters)
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25 pages, 9883 KiB  
Article
Adaptive Linear Neural Network Approach for Three-Phase Four-Wire Active Power Filtering under Non-Ideal Grid and Unbalanced Load Scenarios
by Yap Hoon, Mohd Amran Mohd Radzi and Ali Saadon Al-Ogaili
Appl. Sci. 2019, 9(24), 5304; https://doi.org/10.3390/app9245304 - 05 Dec 2019
Cited by 5 | Viewed by 2435
Abstract
This paper presents the enhancements performed on the adaptive linear neuron (ADALINE) technique so that it can be applied for active power filtering purposes in a three-phase four-wire system. In the context of active power filtering, the ADALINE technique which was initially developed [...] Read more.
This paper presents the enhancements performed on the adaptive linear neuron (ADALINE) technique so that it can be applied for active power filtering purposes in a three-phase four-wire system. In the context of active power filtering, the ADALINE technique which was initially developed for a single-phase two-wire system has been further expanded to suit three-phase three-wire system. For both systems, ADALINE techniques have been reported to be effective even when the grid voltage is distorted and/or unbalanced. However, further works that study the possibility to apply ADALINE technique in a three-phase four-wire system which invariably carries unbalanced loads, are rather limited. Hence, in this work, a control algorithm (named as enhanced-ADALINE) which combines the strength of highly selective filter (HSF), ADALINE concept and averaging function is proposed, to manage harmonics mitigation by shunt active power filter (SAPF) under non-ideal grid and unbalanced load scenarios. MATLAB-Simulink software is utilized to conduct an exhaustive simulation study which includes circuit connection of SAPF in a three-phase four-wire system, design of control algorithms, and performance assessments. Benchmarking with the existing algorithm is performed to examine the benefits of using the proposed algorithm. From the analysis, simulation findings are presented and thoroughly discussed to verify design concept, capability, and relevance of the proposed algorithm. Full article
(This article belongs to the Special Issue Digital Control of Power Electronics Converters)
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