Forecast of wind turbine output power by a multivariate Polynomial-RF model

2021 ◽  
Author(s):  
Wangqiang Niu ◽  
Huajian Yang ◽  
Jiaying Huang ◽  
Xiaotong Wang ◽  
Wei Gu
Keyword(s):  
Wind Turbine ◽  
Output Power ◽  
Multivariate Polynomial ◽  
Turbine Output

Dynamic wind turbine output power reduction under varying wind speed conditions due to inertia

Wind Energy ◽  
2012 ◽  
Vol 16 (4) ◽  
pp. 561-573 ◽  
Author(s):  
Chun Tang ◽  
Wen L. Soong ◽  
Peter Freere ◽  
Mehanathan Pathmanathan ◽  
Nesimi Ertugrul
Keyword(s):  
Wind Speed ◽  
Wind Turbine ◽  
Output Power ◽  
Power Reduction ◽  
Turbine Output

A new hybrid method to forecast wind turbine output power in power systems

2015 ◽  
Vol 28 (4) ◽  
pp. 1503-1508 ◽  
Author(s):  
Soodabeh Soleymani ◽  
Sirus Mohammadi ◽  
Hamid-Reza Rezayi ◽  
Rohalla Moghimai
Keyword(s):  
Power Systems ◽  
Wind Turbine ◽  
Output Power ◽  
Hybrid Method ◽  
Turbine Output

New Deep Learning-Based Approach for Wind Turbine Output Power Modeling and Forecasting

2020 ◽  
pp. 1-1
Author(s):  
Saeed Daneshvar Dehnavi ◽  
Ardeshir Shirani ◽  
H Mehrjerdi ◽  
Mohammad Baziar ◽  
Liang Chen
Keyword(s):  
Deep Learning ◽  
Wind Turbine ◽  
Output Power ◽  
Power Modeling ◽  
Modeling And Forecasting ◽  
Turbine Output

Research on the Control of Wind Turbine Output Power

2011 ◽  
Vol 204-210 ◽  
pp. 640-643
Author(s):  
Tai Li ◽  
Z.C. Ji ◽  
Li Zhao
Keyword(s):  
Neural Network ◽  
Energy Conversion ◽  
Wind Turbine ◽  
Output Power ◽  
Hardware Implementation ◽  
Wind Energy Conversion System ◽  
Wind Energy Conversion ◽  
Conversion System ◽  
Energy Conversion System ◽  
Turbine Output

In order to keep the stable power output of wind turbine,the bp neural network controller is designed for the pitch angle control agencies of the wind energy conversion system, and hardware implementation problem of the controller is discussed based on fpga.The simulation model is built based on the System Generator/Simulink.The results show that the wind turbine output power with the neural network’s controller is stabler than the wind turbine output power with the PID’s,and the hardware implementation of neural network will have a good application prospect in the fields of wind energy conversion system.

Output Power Leveling of a Wind Generation System Using Inertia of a Wind Turbine

2009 ◽  
Vol 10 (4) ◽  
Author(s):  
Abdul Motin Howlader ◽  
Naomitsu Urasaki ◽  
Atsushi Yona ◽  
Tomonobu Senjyu ◽  
Chul-Hwan Kim ◽  
...  
Keyword(s):  
Wind Energy ◽  
Wind Turbine ◽  
Output Power ◽  
Renewable Energy Sources ◽  
Turbine Blades ◽  
Electrical Circuit ◽  
Wind Generation ◽  
Generation System ◽  
Wind Generation System ◽  
Turbine Output

Wind energy conversion systems have become important in the research of renewable energy sources. This is in no small part due to the rapid advances in the size of wind generators as well as the development of power electronics and their applicability in wind energy extraction. However, wind energy has a drawback of having only 1/800 (gm per cubic cm) density as compared to that of water energy. Wind energy does not remain constant and wind turbine output is proportional to the cube of wind speed, which causes the generated power of the wind turbine generator (WTG) to fluctuate. In this paper, a technique is proposed for output power leveling of a wind generation system. Wind turbine blades have a large inertia compared to the inertia of a generator. The inertia of the rotor behaves like an inductor in an electrical circuit. It helps smooth the wind turbine output power, stores energy during acceleration, and restores energy during deceleration. The effectiveness of output power leveling control is verified by simulations for the wind power generation system.

Sign in / Sign up

Export Citation Format

Share Document