Topic Editors

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"—DEI, University of Bologna, Viale del Risorgimento 2, Bologna, Italy
Department of Electrical, Electronic, and Information Engineering (DEI), University of Bologna, 40136 Bologna, Italy
School of Electrical and Computer Engineering, National Technical University of Athens, 15773 Athens, Greece

Electromagnetic Compatibility and Electromagnetic Interference in Inverter Dominated Grids

Abstract submission deadline
closed (28 February 2026)
Manuscript submission deadline
31 May 2026
Viewed by
3718

Topic Information

Dear Colleagues,

The increasing presence of power electronic converters across a wide range of applications is reshaping the electromagnetic environment in which modern electrical systems operate. While these converters are essential for achieving energy efficiency, flexibility, and the integration of renewables, they also introduce significant challenges related to electromagnetic compatibility (EMC) and electromagnetic interference (EMI).

From fast DC chargers to distributed storage units and advanced renewable systems, power converters rely on high-frequency switching that inherently generates conducted and radiated emissions. These emissions can interfere with nearby equipment, disrupt communication networks, or cause malfunction in sensitive electronics. Moreover, the simultaneous operation of multiple converters—often of different types and manufacturers—can lead to complex coupling phenomena, resonances, and unintended noise propagation throughout installations, thereby compromising grid stability.

EMC and EMI issues, in this context, are no longer confined to individual devices but extend to the entire electromagnetic ecosystem in which they function. The growing density of power electronics, the use of long cable runs in renewable installations, the modular system architectures, and increasing connectivity through digital interfaces (e.g., vehicle-to-grid systems or smart microgrids) all contribute to a more intricate and dynamic EMI scenario.

This Topic will gather researchers, engineers, and industry experts to address the emerging EMC/EMI challenges in modern power converter applications. Particular focus will be given to the following:

  • Mechanisms of electromagnetic noise generation and propagation in conversion systems;
  • Modeling and simulation techniques for EMC in time and frequency domains;
  • Advanced filtering, shielding, and layout strategies for EMI mitigation;
  • EMI impact on embedded control systems and digital communication interfaces (e.g., CAN, Modbus, Ethernet);
  • EMC testing procedures and applicable standards for energy-related converters;
  • Co-design approaches integrating electromagnetic considerations in hardware and firmware;
  • Practical insights and case studies from sectors such as e-mobility, smart grids, and energy storage.

Submissions that combine theoretical analysis with experimental validation and real-world application are particularly encouraged. This Topic will promote a comprehensive yet application-oriented perspective on EMC challenges and foster the development of effective and sustainable solutions for next-generation power electronic systems.

Dr. Riccardo Mandrioli
Dr. Mattia Simonazzi
Prof. Dr. Maria G. Ioannides
Topic Editors

Keywords

  • mechanisms of electromagnetic noise generation and propagation in conversion systems
  • modeling and simulation techniques for EMC in time and frequency domains
  • advanced filtering, shielding, and layout strategies for EMI mitigation
  • EMI impact on embedded control systems and digital communication interfaces (e.g., CAN, Modbus, Ethernet)
  • EMC testing procedures and applicable standards for energy-related converters
  • co-design approaches integrating electromagnetic considerations in hardware and firmware
  • practical insights and case studies from sectors such as e-mobility, smart grids, and energy storage

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Designs
designs
- 4.8 2017 18.5 Days CHF 1600 Submit
Electricity
electricity
1.8 5.1 2020 26.9 Days CHF 1200 Submit
Electronics
electronics
2.6 6.1 2012 16.4 Days CHF 2400 Submit
Energies
energies
3.2 7.3 2008 16.8 Days CHF 2600 Submit
Sensors
sensors
3.5 8.2 2001 17.8 Days CHF 2600 Submit

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Published Papers (2 papers)

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25 pages, 9166 KB  
Article
Deep Surrogate Modeling for Conducted EMI Prediction and Filter Optimization in a Three-Level NPC Inverter: From Experimental Data to Compliance-Aware Design
by Fatih Tulumbaci, Rabia Korkmaz Tan and Suayb Cagri Yener
Electronics 2026, 15(9), 1938; https://doi.org/10.3390/electronics15091938 - 3 May 2026
Viewed by 289
Abstract
Conducted electromagnetic interference (EMI) in multilevel power converters is governed by nonlinear interactions among passive filter components, operating conditions, and resonance-sensitive spectral behavior, making analytical prediction and trial-and-error tuning insufficient for systematic compliance-oriented design. This study presents an experimentally grounded, data-driven framework for [...] Read more.
Conducted electromagnetic interference (EMI) in multilevel power converters is governed by nonlinear interactions among passive filter components, operating conditions, and resonance-sensitive spectral behavior, making analytical prediction and trial-and-error tuning insufficient for systematic compliance-oriented design. This study presents an experimentally grounded, data-driven framework for predicting and optimizing conducted EMI in an IGBT-based, SVPWM-controlled three-level neutral-point-clamped (NPC) inverter equipped with an active harmonic filter. A dataset of 1000 conducted-emission measurements was constructed from 250 filter parameter combinations evaluated under four operating scenarios: constant-current average, constant-current peak, standby average, and standby peak, over the 10 kHz–30 MHz range. Four surrogate architectures were trained and evaluated: a multilayer perceptron (ANN), a convolutional neural network (CNN), a deep neural network (DNN), and a physics-informed neural network (PINN). Model reliability was assessed through nested cross-validation, standard 5-fold cross-validation, Monte Carlo resampling, and SHAP-based interpretability analysis. Among the tested architectures, the CNN achieved the most consistent predictive performance and stability, whereas the PINN provided smoother and more physically disciplined spectral reconstructions in several load-related conditions. The trained surrogates were embedded in a Python 3.11-based graphical user interface and further employed within a compliance-oriented optimization framework to identify filter parameter sets capable of satisfying legal conducted-emission limits. Experimental verification confirmed that surrogate-guided optimized designs achieved positive worst-case legal margins between 7.26 and 11.50 dBµV. Relative to the best measured pre-optimization combination, which still exhibited a worst-case margin of −3.7 dBµV, the best experimentally validated optimized design improved the worst-case legal margin by 15.20 dBµV. These results demonstrate that experimentally trained surrogate models can support not only high-resolution EMI prediction but also regulation-aware filter design and practical engineering decision making. Full article
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11 pages, 1129 KB  
Article
Shielding Effectiveness Evaluation of Wall-Integrated Energy Storage Devices
by Leonardo Sandrolini and Mattia Simonazzi
Electronics 2025, 14(17), 3385; https://doi.org/10.3390/electronics14173385 - 26 Aug 2025
Viewed by 744
Abstract
A homogenisation procedure for energy-buffering structural layers with integrated electrical energy storage systems (capacitors) is described with the aim of calculating their shielding effectiveness to the electromagnetic waves when they are installed inside building walls. In fact, these storage systems may attenuate electromagnetic [...] Read more.
A homogenisation procedure for energy-buffering structural layers with integrated electrical energy storage systems (capacitors) is described with the aim of calculating their shielding effectiveness to the electromagnetic waves when they are installed inside building walls. In fact, these storage systems may attenuate electromagnetic fields in the frequency ranges employed by mobile telephony, radio broadcasting, and wireless data transmission, thus impairing the operation of Internet of Things infrastructures. The capacitors inside the individual energy-buffering modules have a multilayered structure, in which the layers have very small thicknesses, making an analytical solution of the electromagnetic field for this kind of object practically impossible. Similarly, numerical solutions may not be practical due to the very small thickness of the layers compared to the overall object size. Therefore, this paper presents a simple and effective analytical method to model multilayered structures consisting of homogenising the whole capacitor, which can then be treated as a unique block of material with fictitious (but effective) electric and magnetic parameters. The method is based on multi-section transmission lines, and a quick and reliable analytical methodology is proposed to evaluate the shielding capabilities using the homogenised capacitor’s effective parameters. Moreover, experimental measurements on a real prototype have also been carried out to validate the methodology. Results show that the trend of the simulated and measured SE is the same, proving that the method can be employed to obtain a conservative estimation of the SE from numerical simulations. Full article
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