A New Pitch Angle Control Method of Wind Turbine Generators Based on Feedforward Wind Speed Information

Sahib, Mouayad A.; Nayl, Thaker

doi:10.1051/e3sconf/201912204001

Cited by 5 publications

(3 citation statements)

References 19 publications

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“…Intelligent Control system is designed to provide information about future wind speed to Model predictive Controller to maintain smoother power generation. Control system is implemented to control pitch angle of wind turbine [8].…”

Section: Figure 1: Wind Energy Conversion Systemmentioning

confidence: 99%

An Overview of MPPT Techniques in Wind Energy Conversion System

2023

IRJMETS

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Renewable energy resources are alternative approach of fossil fuel resources, which are being continuously available throughout the year. Wind is one of the major fastest growing renewable energy resource which produces large amount of energy. Although wind energy is easily available, the speed of wind is not constant throughout the time. It depends on the region. So, several techniques have been discussed to harness maximum power from wind energy. This paper presents about four types of maximum power point techniques (MPPT) like Optimal torque (OT), Tip Speed Ratio (TSR), Perturb and Observe (P&O) and Fuzzy Logic Control (FLC) used in wind energy conversion system.

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Section: Figure 1: Wind Energy Conversion Systemmentioning

confidence: 99%

An Overview of MPPT Techniques in Wind Energy Conversion System

2023

IRJMETS

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“…The cascade feed forward approach, which is a three-layers feed forward network with one single layer hidden was used [16]. Figure 2 shows the internal structure of the proposed artificial neural network (ANN).…”

Section: Neural Networkmentioning

confidence: 99%

Performance enhancement of small-scale wind turbine based on artificial neural network

Ibrahim,

Saleh,

Hamoody

2023

IJPEDS

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<p><span lang="EN-US">Small-scale wind turbine is typically designed to resisted extreme wind; this work aims to adjust their pitch angle based on simulations that use standardization codes for wind turbines. Proportional integral derivative (PID) and artificial neural network (ANN) controllers are used to control the speed of wind turbines. The ideal action for controlling the blade pitch angle can be attained by providing the controller with speed information ahead of time, allowing the controller to provide the best action for blade pitch angle control. The results of this work represent the relationship between the turbine speed with respect to time at different pitch angle. It has been concluded that the ANN controller produced the best time response as compared with the PID controller.</span></p>

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“…Firefly algoritm [9] , PID berbasis Ziegler-Nichols [10], Adaptive Fuzzy -PID [11], Robust Adaptive [12], Feedforward Wind Speed [13] dan speed differential dan untuk mengoptimalkan pengaturan pitch bilah turbin [14].…”

Section: Pendahuluanunclassified

Analisis Unjuk Kerja Sudut Pitch Bilah Turbin Angin Terhadap Daya Nominal Generator Sinkron 3 Fasa

Nugroho

2021

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Pengoperasian turbin angin terbagi atas beberapa zona operasi dengan tujuan untuk memaksimalkan kinerja turbin angin dan melindungi bilah turbin dari kerusakan saat diterpa oleh angin berkecepatan tinggi. Pembagian zona didasarkan pada besarnya kecepatan angin. Jika kecepatan angin berada diantara kecepatan nominal dan kecepatan cut out, maka turbin angin dapat dioperasikan pada nilai daya nominalnya dengan cara mengatur sudut pitch bilah turbin angin sedemikian rupa sehingga turbin angin dapat menghasilkan daya nominal. Riset ini bertujuan menganalisis hubungan antara perubahan kecepatan angin dan sudut pitch bilah turbin angin untuk mendapatkan daya nominal generator sinkron 3 fasa. Metode riset dilakukan melalui pemodelan turbin angin dengan generator sinkron 3 fasa. Turbin angin dirancang memiliki kapasitas daya mekanik 34,7 kW untuk kecepatan nominal angin 8 m/s yang dapat menghasilkan daya listrik nominal 32,68 kW, 408 volt pada kecepatan generator 1500 rpm. Hasil riset memperlihatkan perubahan kecepatan angin antara 8 m/s sampai dengan 15 m/s dapat mempertahankan kecepatan dan daya nominal generator tersebut dengan mengatur sudut pitch bilah turbin antara 00 sampai dengan 26,9270.

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A New Pitch Angle Control Method of Wind Turbine Generators Based on Feedforward Wind Speed Information

Cited by 5 publications

References 19 publications

An Overview of MPPT Techniques in Wind Energy Conversion System

An Overview of MPPT Techniques in Wind Energy Conversion System

Performance enhancement of small-scale wind turbine based on artificial neural network

Analisis Unjuk Kerja Sudut Pitch Bilah Turbin Angin Terhadap Daya Nominal Generator Sinkron 3 Fasa

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