IEEE Transactions on Control Systems Technology · 2013 · 524 citations · 35 references
Fault DiagnosisReliability EngineeringEngineeringWind Power GenerationWind TurbinesFault AnalysisComputer EngineeringSystems EngineeringFault-tolerant ControlPower System ControlTest Benchmark ModelAccommodation SchemesFault DetectionFdi Design
The fault detection and isolation problem has been addressed by several teams, and five solutions are compared in this paper. This paper presents a test benchmark model for evaluating fault detection and accommodation schemes. The benchmark model is a system‑level, three‑bladed, pitch‑controlled variable‑speed wind turbine (4.8 MW) that simulates sensor, actuator, and system faults—including pitch, drive‑train, generator, and converter faults—with simplified converter and pitch dynamics, and is used to evaluate fault detection and accommodation schemes under varied operating conditions.
This paper presents a test benchmark model for the evaluation of fault detection and accommodation schemes. This benchmark model deals with the wind turbine on a system level, and it includes sensor, actuator, and system faults, namely faults in the pitch system, the drive train, the generator, and the converter system. Since it is a system-level model, converter and pitch system models are simplified because these are controlled by internal controllers working at higher frequencies than the system model. The model represents a three-bladed pitch-controlled variable-speed wind turbine with a nominal power of 4.8 MW. The fault detection and isolation (FDI) problem was addressed by several teams, and five of the solutions are compared in the second part of this paper. This comparison relies on additional test data in which the faults occur in different operating conditions than in the test data used for the FDI design.
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