Summary
In modern power systems, Line Commutated Converter (LCC)-HVDC technology remains a cost-competitive solution for high-capacity transmission, yet it is inherently susceptible to commutation failure (CF) during AC grid disturbances. Traditional CF prediction methods, such as the Commutation Failure Prevention Control (CFPREV) and the Critical Commutating
Read more Read lessVoltage method, primarily rely on detecting voltage magnitude drops. However, these methods often fail in multi-infeed HVDC environments where severe voltage distortion and phase shifts—rather than just magnitude reduction—are the dominant drivers of secondary failures.
The goal of this paper is to propose a robust CF prediction process capable of operating under severe voltage distortion. The proposed methodology consists of a four-stage sequential process:
(1) real-time data acquisition of system parameters like transformer impedance and firing angles;
(2) analytical modeling of the commutating voltage using advanced signal processing; (3) calculation of the actual commutation overlap angle and shifted zero-crossing points; and (4) identification of CF by comparing the predicted extinction angle against a critical threshold.
Additional informations
| Publication type | Session Materials |
|---|---|
| Reference | B4_12051_2026 |
| Publication year | |
| Publisher | CIGRE |
| Country | Korea, Republic of (South Korea) |
| Study committees | |
| File size | 1 MB |
| Price for non member | 30 € |
| Price for member | 30 € |
Authors
SEO Chiwon - Korea University; LEE Huihwa - Korea University; CHA Junsang - Korea University; JANG Gilsoo - Korea University
