Per unit modeling of wind energy conversion system based on PMSG

Omar, Alaa; Khater, F.M.H.; Shaltout, A.

doi:10.1109/accs-peit.2017.8303029

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…These four categories can also be divided into two categories based on the object, namely methods for the component part and methods for the overall model. A lot of research has been done on the component part, such as a blade pitch [2], a doubly fed induction generator [3], [4], or a permanent magnet synchronous generator [5]. For the three specific faults of the WEC system IGBT, Mansouri et al [6] [7] used the Gaussian process regression (GPR) to extract features, established the multi-class random forest (RF)-based fault classifier to train and test the original data.…”

Section: Introductionmentioning

confidence: 99%

Fault Detection of WECSs Based on Improved SVO and Fourier Transformation

Zhao

2024

IEEE Access

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This paper studies the application of estimation error signals frequency domain analysis in the fault detection field. The estimation error signals of actuators are derived from the improved set-valued observer and the benchmark mathematical model of a wind energy conversion system (WECS) with delayed inputs and unknown nonlinear parts. The improved SVO is designed based on the extended Lipschitz condition, the set-induced theory, and the uniformly ultimately boundedness. For the faults of the pitch angle actuators, the estimation error signals are processed by the fast Fourier transform (FFT), and the corresponding fault detection strategies are designed. The simulation results show that the proposed fault detection strategy can detect the actuator fault in the early stage of the fault with high accuracy.

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Section: Introductionmentioning

confidence: 99%

Fault Detection of WECSs Based on Improved SVO and Fourier Transformation

Zhao

2024

IEEE Access

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“…Therefore, research on the fault detection of WECSs has practical significance. At present, the research objectives of WECSs are mainly focused on single components, such as a blade pitch [1][2] , doubly fed induction generator [3][4] , or permanent magnet synchronous generator [5] . The research targets of fault detection are mainly focused on a variety of models, such as a permanent magnet synchronous motor drives [6] , polytopic linear parameter-varying system [7] , heterogeneous multiagent LPV system [8] , linear discrete time-varying system [9] , and T-S fuzzy system with local nonlinear models [10] .…”

Section: Introductionmentioning

confidence: 99%

“…It is confirmed that  is a strong positive -invariant D region for the continuous-time system, if the region  is a strong positive -invariant D region for its matched Euler approximating system. Thus, the following proposition can be derived for system(5):…”

mentioning

confidence: 99%

Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO

Zhao

Shen

2020

IEEE Access

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This paper studies an improved set-valued observer (SVO) for a complex model of a wind energy conversion system (WECS). To fit reality, an unknown function is used to describe the aerodynamic model, and a delay of the input signal is added to simulate the actual situation. The conservative SVO estimates the state error convergence within an adjustable interval. The extended Lipschitz condition, setinduced theory, and uniformly ultimately boundedness guarantees the convergence of errors. Based on the SVO, a fault detection system and corresponding fault detection strategies for common faults of WECSs are proposed. By adjusting the gain matrix L , the SVO shows excellent state tracking performance. The simulation results show that the proposed fault detection system can provide rapid and accurate fault detection.

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“…Where ρ is air density( / 3 ), A is rotor blade swept area (m 2 ), represent wind velocity (m/s). Power coefficient, Cp, can be represented as[3]:…”

mentioning

confidence: 99%

Rotor Speed Control Maximum Power Point Tracking for Small Wind Turbine

Dharmaraditya¹,

Stefan²,

Yusivar³

2018

EECSI

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Due to the change of energy source to renewable energy, the trend of wind turbine is increased in last 5 years. Small Wind Turbine that convert kinetic energy to electric energy needs a rectifier to convert AC to DC. Rectifier used in this paper is active rectifier. Because of its power characteristics, wind turbine needs maximum power point tracking (MPPT) to track its maximum power. This paper shows that by using active rectifier, the algorithm of tracking a maximum power able to be tracked by controlling its rotor angular speed. The simulation result proves that the speed control and MPPT algorithm, perturb and observe, is able to be implemented in various wind speed.

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Per unit modeling of wind energy conversion system based on PMSG

Cited by 4 publications

References 9 publications

Fault Detection of WECSs Based on Improved SVO and Fourier Transformation

Fault Detection of WECSs Based on Improved SVO and Fourier Transformation

Fault Detection of WECSs With a Delayed Input and an Unknown Part Based on SVO

Rotor Speed Control Maximum Power Point Tracking for Small Wind Turbine

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