A New Power System Stabilizer Designed for Grid-Connected Doubly Fed Induction Generator-Based Wind Generation System

Kosuru, Rahul

doi:10.22215/etd/2014-10926

Cited by 1 publication

(2 citation statements)

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“…Therefore, to determine the status of operating wind turbines, various sensors are equipped in the turbines to accurately detect the running conditions and to then transmit the collected data to the control center through the communication network. Recently, the most widely used wind power generation system is the doubly fed induction generator, its structure is shown in Figure 1 [20]. The wind power generation system consists of wind wheel, gearbox, induction generator and back-to-back converter.…”

Section: Model Buildingmentioning

confidence: 99%

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Intermediate-Variable-Based Distributed Fusion Estimation for Wind Turbine Systems

Yang¹,

Wang²,

Zhou³

et al. 2022

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In wind turbine systems, the state of the generator is always disturbed by various unknown perturbances, which leads to system instability and inaccurate state estimation. In this paper, an intermediate-variable-based distributed fusion estimation method is proposed for the state estimation problem in wind turbine systems. By constructing an augmented state error system and using the idea of bounded recursive optimization, the local estimators and distributed fusion criterion are designed, which can be used to estimate the disturbance signals and system states. Then, the local estimator gains and the distributed weighting fusion matrices are obtained by solving the established convex optimization problems. Furthermore, a compensation strategy is designed by using the estimated disturbance signals, which can potentially reduce the influence of the disturbance signals on the system state. Finally, a numerical simulation is provided to show that the proposed method can effectively improve the accuracy of the estimation of the wind turbine state and disturbance, and the superiority of the proposed method is illustrated as a comparison to the Kalman fusion method.

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Section: Model Buildingmentioning

confidence: 99%

“…Ignoring the influence of the frequency, temperature changes on the winding resistance are not considered. Based on the above assumptions, the voltage equation of the generator in the two-phase coordinate system [20] is listed as…”

Section: Model Buildingmentioning

confidence: 99%