Crack 2021 — Electricalom

| Metric | Value | |-----------|-----------| | Dates | 12–16 September 2021 (virtual) | | Registrants | 1,248 (academia: 58 %; industry: 35 %; government: 7 %) | | Sessions | 48 oral presentations, 23 poster sessions, 5 panel discussions | | Keynote Speakers | Prof. Junichi Takahashi (WBG devices), Dr. Sofia García (AI for grid resilience), Prof. Thomas Müller (Cyber‑physical security) | | Awards | Best Paper – “SiC‑based MMC for 10‑MW HVDC Links”; Young Investigator – “Physics‑informed Neural Networks for Fault Diagnosis” |

The conference employed a hybrid format where live streaming of talks was complemented by interactive breakout rooms for poster discussions. All accepted papers were published in the Proceedings of Electricalom Crack 2021 (ISBN 978‑1‑55555‑999‑7) and are indexed in IEEE Xplore and Scopus. Electricalom Crack 2021

The Electricalom Crack 2021 symposium, held virtually from 12–16 September 2021, marked a pivotal moment for the global power‑electronics community. Over 1,200 participants from academia, industry, and governmental agencies exchanged cutting‑edge research on semiconductor devices, high‑frequency converters, grid‑integration of renewable energy, and cybersecurity for smart grids. This paper synthesizes the major technical contributions presented at the conference, evaluates emerging trends, and outlines open research challenges. Particular emphasis is placed on (i) wide‑bandgap (WBG) semiconductor breakthroughs, (ii) modular multilevel converter (MMC) architectures for megawatt‑scale applications, (iii) AI‑driven predictive maintenance for distribution networks, and (iv) resilience strategies against cyber‑physical attacks. By contextualizing these findings within the broader trajectory of power‑electronics research, the paper provides a roadmap for researchers and practitioners aiming to accelerate the transition toward resilient, low‑carbon electric power systems. | Metric | Value | |-----------|-----------| | Dates

| Domain | Synergistic Opportunity | Illustrative Example | |-----------|-----------------------------|--------------------------| | WBG Devices ↔ MMCs | Higher switching frequencies → smaller filter components | SiC‑based MMC achieving 5 kHz switching, reducing filter size by 40 % | | AI ↔ Cyber‑Security | Anomaly detection using ML models to flag malicious traffic | LSTM‑based intrusion detection on IEC 61850 traffic | | Digital Twins ↔ Predictive Maintenance | Twin‑driven simulation of degradation processes for condition‑based alerts | Twin of a 33‑kV feeder predicting cable aging trajectories | | Renewable Integration ↔ Resilience | Adaptive islanding using AI to maintain supply during attacks | AI‑controlled microgrid autonomously forming islands after a coordinated DDoS | The Electricalom Crack 2021 symposium, held virtually from

These synergies were a recurring theme in the panel discussions, underscoring the necessity of interdisciplinary collaboration.

Take‑away: Embedding AI at the device and system levels transforms reactive maintenance into proactive, cost‑effective grid stewardship.