Abstract

The availability of onshore wind power plant systems (PLTB) reaches 98%, but the maintenance costs required are still very high for the wind turbine generator system. Meanwhile, the availability of offshore PLTB is decreased by 60% due to the main cause of damage to some components in wind turbine systems. This study proposes the use of fault estimation methods of wind turbine system components in fault tolerant control (FTC) strateg y . The error estimation method is build using the ℓ 0 norm constraint optimization. The optimization formulation with ℓ 0 norm constraint is derived by applying the compressed sensing technique so that the estimation of the bias error can be used to estimate the error of several components by a single observer. This answers the observability issues encountered in single observer use cases. The proposed implementation of observers with the FTC results in better response characteristics when compared to systems without FTC . Response characteristics on actuator errors of 0.3 – 1.3pu , system with observers resulting in a maximum undershoot value of 0.4-1% while systems without observers resulting in a maximum undershoot value of 6.2-26.4%. T he characteristics of the response with the observer on sensor errors resulting 0.3-1.3pu result ing in value of 1.6-4%, 0% and 63.9- 70.7s. S ystem without observers, with sensor errors of 0.3-1.3pu resul ting in maximum undershoot, steady state error and settling time of 6.2-26.2%, 6.2-26.4%, and 0s

Highlights

  • Abstract⎯ The availability of onshore wind power plant systems (PLTB) reaches 98%, but the maintenance costs required are still very high for the wind turbine system

  • The vector g of the wind turbine generator system used in this study is: 1.0000

  • The method used in this study is a single observer with optimization of l0 norm constraint that able to overcome the observability problem in estimating the bias fault in wind turbine generator system components

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Summary

Introduction

Abstract⎯ The availability of onshore wind power plant systems (PLTB) reaches 98%, but the maintenance costs required are still very high for the wind turbine system. The optimization formulation with l0 norm constraint is derived by applying the compressed sensing technique so that the estimation of the bias error can be used to estimate the fault of several components by a single observer. This answers the observability issues encountered in single observer use cases. Several research developments on the FTC scheme for WTG and error estimation, including previous research by Patton and Klinkhieo [7] is about using an augmented state observer-based disturbance observer to estimate the actuator error This method requires observation of the error variable. Estimated error bias is formulated as an optimization problem with l0 norm constraint

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