CORTEXA
← Browse
arxiveess.SY2026-07-31

Interturn Short Circuit Fault Mitigation in PMSMs

Lukas Zezula, Matus Kozovsky, Ludek Buchta, Petr Blaha

Interturn short circuits are among the most critical faults in permanent magnet synchronous motor drives, as they combine localized heating in the shorted stator phase with electrical asymmetry that distorts the current feedback used for torque-producing control. This article proposes a control-based mitigation method enabling the post-fault operation of standard three-phase motor drives without additional dedicated hardware. Using the diagnostic features inferred from standard control-loop signals, the method augments the field-oriented control structure with two mechanisms: resistive-loss-limited current-reference generation and reconstruction of the torque-producing current components in the feedback path. The reference generator is derived from a discrete-time post-fault model and minimizes resistive losses, whereas the feedback reconstruction provides fault-free torque-producing current components as controlled variables of the current loop. The experimental validation has demonstrated reductions of up to 23-36% in the fault-induced increase in the input power and 18-27% in the local segment-loss increase, while confirming real-time adaptation to progressive fault aggravation emulated by stepped changes in the short circuit resistance.

View free PDFSource page

Related papers

arxiveess.SY2026-07-07

Criteria-Aware EMT-Based Short-Term Voltage Performance Index for Dynamic Assessment of Inverter-Dominated Power Systems

Mohammad Almomani, Venkataramana Ajjarapu

The increasing penetration of inverter-based resources (IBRs) into bulk power systems has fundamentally altered short-term voltage dynamics following disturbances. Conventional short-circuit capacity (SCC) metrics provide a useful screening indicator of grid strength but are unab…

View free PDFSource page
arxiveess.SY2026-06-30

A Shallow Recurrent Decoder for Dynamic State Estimation with a Limited Number of PMUs in Power Systems

Andrea Pomarico, Alberto Berizzi, J. Nathan Kutz

Dynamic State Estimation (DSE) will play a fundamental role in future power system operation by providing real-time estimates of the system state and enabling enhanced situational awareness. Existing DSE approaches are primarily based on Kalman filter variants or Machine Learning…

View free PDFSource page
arxiveess.SY2026-07-14

Stability Analysis of Grid-Following and Grid-Forming Converters Connected to Generators

Alessandra Casiraghi, Marzio Barresi, Samuele Grillo

This work presents an examination of the main interactions between grid-following (GFL) and grid-forming (GFM) voltage source converters (VSCs) and synchronous generators (SGs), capturing the dynamics of a real power grid and pointing out the limitations of considering an ideal o…

View free PDFSource page
arxiveess.SY2026-07-06

Shadow Pricing of Static Voltage Stability Services within Unit Commitment for Inverter-Dominated Power Systems

Peng Wang, Luis Badesa

Modern power systems are increasingly dominated by Inverter-Based Resources (IBR), most of which work in Grid-following (GFL) mode. This implies that they do not directly control their terminal voltage, so the static voltage stability at these buses may be compromised, especially…

View free PDFSource page
arxiveess.SY2026-07-07

Inertia-Informed Federated Learning Control Framework for Distributed Smart Grid Resilience

Ibrahim Shahbaz, Omar Al-Refai, Eman Hammad

Resilient-by-design smart grid control demands frameworks capable of maintaining stability under physical disturbances and communication failures, without reliance on centralized coordination. While Centralized Training Decentralized Execution (CTDE) enables a learning-based cont…

View free PDFSource page
arxiveess.SYcs.AI2026-06-30

Automating Cause-Effect Specification with Knowledge Graphs and Large Language Models

Javal Vyas, Milapji Singh Gill, Mehmet Mercangöz

Engineering specifications such as interlocks, alarm rationalization tables, and cause-and-effect (C&E) matrices remain central to process control and safety, yet their creation is still predominantly manual, document-driven, and prone to inconsistency. This paper presents a sema…

View free PDFSource page