A novel intelligent approach for yaw position forecasting in wind energy systems

Yeşilbudak, Mehmet; Sağıroğlu, Şeref; Çolak, İlhami

doi:10.1016/j.ijepes.2015.01.030

Cited by 13 publications

(2 citation statements)

References 19 publications

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“…It is apparent that accurate yaw angle measurement (angle between wind direction and nacelle position) is the basis for effective yaw controllers [9][10][11]. In [12], an intelligent approach based on k Nearest Neighbor (KNN) was proposed to estimate the yaw position of the WT using a simulated dataset. The postulate of this approach was that the accurate yaw position should be known in the model training phase.…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection

et al. 2018

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Wind turbine yaw control plays an important role in increasing the wind turbine production and also in protecting the wind turbine. Accurate measurement of yaw angle is the basis of an effective wind turbine yaw controller. The accuracy of yaw angle measurement is affected significantly by the problem of zero-point shifting. Hence, it is essential to evaluate the zero-point shifting error on wind turbines on-line in order to improve the reliability of yaw angle measurement in real time. Particularly, qualitative evaluation of the zero-point shifting error could be useful for wind farm operators to realize prompt and cost-effective maintenance on yaw angle sensors. In the aim of qualitatively evaluating the zero-point shifting error, the yaw angle sensor zero-point shifting fault is firstly defined in this paper. A data-driven method is then proposed to detect the zero-point shifting fault based on Supervisory Control and Data Acquisition (SCADA) data. The zero-point shifting fault is detected in the proposed method by analyzing the power performance under different yaw angles. The SCADA data are partitioned into different bins according to both wind speed and yaw angle in order to deeply evaluate the power performance. An indicator is proposed in this method for power performance evaluation under each yaw angle. The yaw angle with the largest indicator is considered as the yaw angle measurement error in our work. A zero-point shifting fault would trigger an alarm if the error is larger than a predefined threshold. Case studies from several actual wind farms proved the effectiveness of the proposed method in detecting zero-point shifting fault and also in improving the wind turbine performance. Results of the proposed method could be useful for wind farm operators to realize prompt adjustment if there exists a large error of yaw angle measurement.

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Section: Introductionmentioning

confidence: 99%

Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection

et al. 2018

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“…"A smart grid system is necessary because it can protect against cyber security, expand the grid for the seamless integration of renewable energies like wind" [6], "electrical vehicles and battery systems using power electronics, and solar" [7], provide smart metering, enable energy observation and control, reduce fluctuations in voltage, frequency, and current, and improve harmony between the grid and the rest of the power grid [8].…”

Section: Smart Grid Technologymentioning

confidence: 99%

Overview of Smart Grid Technology as a Renewable Energy Source

Owunna

Obeagu²

2022

JENRR

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A smart grid is an electricity system that uses digital communications technology to detect, respond to, and take appropriate action in response to changes in demand and a variety of other problems. The secret to effective utilization of distributed energy resources is smart grid technology. Opportunities for renewable energy systems to address electricity generation appear to be growing, especially in light of the importance of climate change, the rising cost of petroleum products, and the falling cost of renewable energy power systems. However, an effective energy management strategy of system must be addressed in order to achieve commercialization and widespread use. Electric power networks have recently benefited from the effective application of the smart grid idea. This research work examines the overview of smart grid technology as a renewable energy source. The concept of a smart grid as well as the advantages and disadvantages of a smart grid renewable energy. The success of promoting renewable energy is significantly influenced by pricing. As a result, it is crucial to evaluate the distinctive qualities connected with alternative sources of renewable energy in order to get insight into the pricing of renewable energy. A survey of recent work in renewable smart grid systems shows the exciting future potential of such research traits. Both policymakers and those who create and use renewable energy systems would benefit from this.

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Application of fuzzy logic method in wind turbine yaw control system to obtain maximum energy: a methodological and prototype approach

Bharani

Sivaprakasam

2021

Electr Eng

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A novel intelligent approach for yaw position forecasting in wind energy systems

Cited by 13 publications

References 19 publications

Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection

Data-Driven Method for Wind Turbine Yaw Angle Sensor Zero-Point Shifting Fault Detection

Overview of Smart Grid Technology as a Renewable Energy Source

Application of fuzzy logic method in wind turbine yaw control system to obtain maximum energy: a methodological and prototype approach

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