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IEEE Open Journal of Industry Applications is a peer-reviewed journal published by IEEE, covering Microgrid Control and Optimization, Electric Motor Design and Analysis, Multilevel Inverters and Converters. Over its lifetime it has published 279 papers, which have received 4,340 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Open Journal of Industry Applications, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Open Journal of Industry Applications style. No sign-up. |
| Publishes research in | Microgrid Control and Optimization Electric Motor Design and Analysis Multilevel Inverters and Converters Advanced DC-DC Converters Silicon Carbide Semiconductor Technologies |
| ISSN | 2644-1241 |
| Citation impact (2-yr) | 2.86 |
| h-index | 23 |
| i10-index | 65 |
| Article processing charge | $1,750 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Politecnico di Torino |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In the last decade, the concept of grid-forming (GFM) converters has been introduced for microgrids and islanded power systems. Recently, the concept has been proposed for use in wider interconnected transmission networks, and several control structures have thus been developed, giving rise to discussions about the expected behaviour of such converters. In this paper, an…
This paper presents an overview of the synchronization stability of converter-based resources under a wide range of grid conditions. The general grid-synchronization principles for grid-following and grid-forming modes are reviewed first. Then, the small-signal and transient stability of these two operating modes are discussed, and the design-oriented analyses are performed to illustrate the control impact.…
Model predictive control (MPC) has established itself as a promising control methodology in power electronics. This survey paper highlights the most relevant MPC techniques for power electronic systems. These can be classified into two major groups, namely, MPC without modulator, referred to as direct MPC, and MPC with a subsequent modulation stage, known as indirect…
Temperature sensing in electric motors is an important task to ensure component protection against excessive heat while maximizing the power and torque capabilities. In order to optimize the dynamic performance limits of a motor during online operation, important motor temperatures must be known in real time. Since temperature measurements are associated with costs and integration…
This review article systematically summarizes the existing literature on utilizing machine learning (ML) techniques for the control and monitoring of electric machine drives. It is anticipated that with the rapid progress in learning algorithms and specialized embedded hardware platforms, ML-based data-driven approaches will become standard tools for the automated high-performance control and monitoring of electric…
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