Litcius/Paper detail

A Simple and Effective Open-Circuit-Fault Diagnosis Method for Grid-Tied Power Converters—A New Technique Based on Tellegen’s Theorem

Mingyuan Zhang, Zhenbin Zhang, Zhen Li, Jinyu Wang, Yongfeng Zhang, Shiming Liu

2022IEEE Journal of Emerging and Selected Topics in Power Electronics17 citationsDOI

Abstract

Grid-tied power converters are widely adopted in renewable energy integration systems. Reliable operation of such power converters is highly desirable, which relies on effective fault diagnosis and ride-through techniques. In this work, we propose a new open-circuit fault diagnosis method for grid-tied power converters based on Tellegen’s theorem, which is fast in fault detection and accurate in faulty component location. We first developed a “quasi-power” concept to define the relationship between current and voltage magnitudes for the underlying power converter. The value of the afore-developed quasi-power in this proposal depends solely on the connection state (i.e., the switch position and status) of a power converter, resulting in its good features of robustness to parameter variations and immunity to operation changes. Thereafter, we propose a fault diagnosis method based on the quasi-power of a converter, which is able to identify any faulty component among all the semiconductor switches (i.e., the insulated gate bipolar translators (IGBTs) and freewheeling diodes) at a time-scale of only one sampling period. As a case study, the proposed technique is incorporated into a well-known model predictive control (MPC) framework of a grid-tied two-level (2L) power converter and tested at a lab-constructed test bench. Experimental results confirm its effectiveness.

Topics & Concepts

ConvertersRobustness (evolution)Electronic engineeringFault (geology)Power (physics)Computer scienceEngineeringVoltageElectrical engineeringControl theory (sociology)PhysicsChemistryControl (management)GeneBiochemistryGeologyArtificial intelligenceQuantum mechanicsSeismologyMultilevel Inverters and ConvertersSilicon Carbide Semiconductor TechnologiesMicrogrid Control and Optimization