CONTROL A WIND TURBINE Gissel Hernandez Faculty of Engineering In Applied Sciences Northerm Technical University Ecuador, Ibarra Jorge Quilumbango Faculty of Engineering In Applied Sciences Telephone: 0990476738 Abstract —Th e sys tem is modele d as a flex ibl e str uct ur e op- erating in the past of pertu rbati ons of turbulent wind turbine . Currently to PID about pitch angle control is done but because of the great need for energy is to optimize the speed and power makin g a rob ust system for this contr ol struc ture is analy zed consi deri ng the multiva riate natur e of the system and using a multiple structures to deal nonlinearity in system will analyse a method to predict the speed depending on the wind turbine since this is the primary factor to vary the increase or decrease of the speed in the plant with a new method through a neural network and controlling the speed of the rotor in turn work with the step angle to control the turbine I. I NTRODUCTION A win d gen era tor is one that cap tur es the kin eti c energy and one of the compone nts of this pla nt mak es it ele ctr ic power is the tur bin e to tha t con sid era tion. Wind tur bin e works in such a way that to have contact points of the wind rotor and the electric these coincide making in this way that optimizes the process at the time that ther e is greater wind force You can predict a wind turbine depending on the wind speed A wind turbine has: Fig. 1. FIG. 1 OPERA TION OF A WIND TURBINE The wind str ikes the rotor to rot ate and tha t lo w spe ed shafts tra nsmit ene rgy to the gea rbo x so inc rea se spe ed to rotate so high speed shaft and this last twist to the generator producing electricity as there is greater wind power also will gro w the electrical power in the event that electrical powe r reaches its value maximum there is a system of regulation and control that controls the speed which rotor this tour is for the power does not exceed the limits and system and generator to not overheat the power can not exceed 110 percent of the maximum power for periods of 10 minutes. Control pitch angle of wind turbine generator Fig. 2. FIG. 2 PITCH CONTROL A method to handle this is through the angle of step of the wind turbine when the maximum is reach ed, the control ler trans mit s the comman d to make the blades rot ate sli ght ly and avoid the wind also when the power has fallen back to the anterior angle so once again optimizes the speed with the force of the wind. A. ROTOR The rotor is another main element since it is that transforms kinetic energy into mechanical energy thanks to the blades or blade which capture the strength of the wind pattern for the
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Abstract—The system is modeled as a flexible structure op-erating in the past of perturbations of turbulent wind turbine.Currently to PID about pitch angle control is done but becauseof the great need for energy is to optimize the speed and powermaking a robust system for this control structure is analyzedconsidering the multivariate nature of the system and using amultiple structures to deal nonlinearity in system will analyse amethod to predict the speed depending on the wind turbine sincethis is the primary factor to vary the increase or decrease of thespeed in the plant with a new method through a neural networkand controlling the speed of the rotor in turn work with the stepangle to control the turbine
I. INTRODUCTION
A wind generator is one that captures the kinetic energy
and one of the components of this plant makes it electric
power is the turbine to that consideration. Wind turbine
works in such a way that to have contact points of the wind
rotor and the electric these coincide making in this way that
optimizes the process at the time that there is greater wind
force You can predict a wind turbine depending on the wind
speed
A wind turbine has:
Fig. 1. FIG.1 OPERATION OF A WIND TURBINE
The wind strikes the rotor to rotate and that low speed
shafts transmit energy to the gearbox so increase speed to
rotate so high speed shaft and this last twist to the generator
producing electricity as there is greater wind power also will
grow the electrical power in the event that electrical power
reaches its value maximum there is a system of regulation and
control that controls the speed which rotor this tour is for the
power does not exceed the limits and system and generator
to not overheat the power can not exceed 110 percent of the
maximum power for periods of 10 minutes.Control pitch angle of wind turbine generator
Fig. 2. FIG.2 PITCH CONTROL
A method to handle this is through the angle of step of the
wind turbine when the maximum is reached, the controller
transmits the command to make the blades rotate slightly
and avoid the wind also when the power has fallen back to
the anterior angle so once again optimizes the speed with theforce of the wind.
A. ROTOR
The rotor is another main element since it is that transforms
kinetic energy into mechanical energy thanks to the blades or
blade which capture the strength of the wind pattern for the
Dynamics output depends on input. Dynamic neural networks
are more appropriate to predict future data.
Neural networks resemble the human brain in two aspects:
- It acquires knowledge of their environment through a
process of learning
- The interconnections between neurons, is used to store the
knowledge acquired
NARMA neural network model is used for this (NonlinearAutoregressive Moving Average) that identifies the
performance between the rotor and the actuator
III. STATE OF THE ART
Turbines as the time has passed have become a very
important energy source wind power is a renewable energy
initially used for navigation maritime, then widely used in
remote fields that’s why we study different methods, models
to improve, it seeks to optimize this process by performing a
system for wind turbine.
In 1998 a model was made with a generator self-excited forapplications with isolated features and two feedback to keep
the stator voltage and frequency.
In 2003 a PID was held by changing the angle of step to
compensate for the losses of wind
In 2007 appears the method of prediction of the speed
through the wind which analysed it is until today since there
are many parameters that are still unfinished as:
-Development of prediction model that incorporates other
input variables such as the density of the air, temperature,
pressure, etc.
-Study how the model behaves when there are climatic events
such as rain.
-With this you can make corrections to the expected value of the speed of the wind.
For this is studied from the mechanical structure up to the
power that is testing new designs to improve the shortcomings
and make a more robust and reliable system.
IV. CONCLUSION
Currently, the State in which the planet is is a critical
condition for global warming so it is looking for new ways to
get environmentally friendly energy sources and is best even
if this source is renewable by that wind power is considered
a potential source of electricity because only take advantage
of the wind without causing damage to the environment.
This article presented one of the most widely used models
to fully exploit this energy source as the turbine control is
through neural networks and at the same time the step angle
control.
It has been progress and the consequences that may result if
the turbine is used poorly or where not made a proper control
helping that this system is robust and has the lowest possible
turbulence have stability constantly generating energy or
predicting according to wind seasons of underachievement.
REFERENCES
[1] H. Takaai, Y. Chida, K. Sakurai, T. Isobe. (2009).”Pitch Angle Controlof Wind Turbine Generator using Less Conservative Robust Control.”
[2] Syed Misbahuddin, Syed Masud Mahmud, and Nizar Al-Holou ”Devel-opment and Performance Analysis of a Data-Reduction Algorithm forAutomotive Multiplexing”
[3] L. PAO, E. JOHNSON (2009). ”Control of Wind Turbines AP-
PROACHES, CHALLENGES, AND RECENT DEVELOPMENTS”[4] M. Narayana, G. Putrus, M. Jovanovic, P. Leung. ”Predictive Control of
Wind Turbines by Considering Wind Speed Forecasting Techniques”