Nonlinear optimal tracking control based on wind energy conversion system (realized by matlab code)

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The author studies ： Bachelor degree in computer science , Master degree in Electrical Engineering . The main research direction is power system and intelligent algorithm 、 Machine learning and deep learning . Currently familiar with python Web crawler 、 machine learning 、 Swarm intelligence algorithm 、 Relevant contents of in-depth learning . It is hoped that computers and power grids can be effectively combined ！️️️
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                    Column catalog ： The beauty of power system and algorithm

                            

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The contents of this article are as follows ：️️️

Catalog

1 summary

2  Summary and classification of wind power prediction technology and methods for wind power generation

2. 1 Direct and indirect methods

2. 2 Physical method

3 Running results

4 Matlab Code implementation  

5 At the end

1 summary

intermittent 、 Volatility and randomness are the basic characteristics of wind farm output power , This is due to the utilization of wind energy , Affected by random wind speed and direction , These factors not only directly affect the safe operation of the power grid , It also has a very adverse impact on the efficiency of the power grid . therefore , Wind power prediction system came into being , It can not only predict the fluctuation of data , And take countermeasures in time , Increase the stability of power grid operation , It can also increase the advantages of wind power in market competition , Promote the transformation of China's energy structure . therefore , Wind power prediction system is the main research field of wind power generation at present , Improve the accuracy of wind power prediction system for fan power generation 、 Make full use of wind energy to generate electricity , For alleviating the energy tension in our country 、 Promoting the development of environmental protection plays an irreplaceable role .

2  Summary and classification of wind power prediction technology and methods for wind power generation

Wind power prediction technology , Numerical weather forecast , It is based on thermodynamics 、 Aerodynamics is the basic principle , Based on historical weather , The prediction technology of wind power output is carried out by numerical calculation . Wind power generation wind power prediction technology

Methods are mainly divided into ：

2. 1 Direct and indirect methods

The power prediction of direct method and indirect method is based on the mathematical model of prediction . Based on wind speed , Realize the fan Hair electric wind work rate Pre measuring , Belong to On straight Pick up Fang Law ; With work rate by The base Foundation Wind power prediction is an indirect method .

2. 2 Physical method

NWP Data is the main reference data of wind power prediction system , On this basis , The terrain of the wind farm 、 Surface roughness of wind farm 、 Factors such as the height of the fan wheel and nearby obstacles need to be fully considered . In the medium and long-term prediction of wind power , It also needs to use the modeling object to predict and determine , Such as fan characteristic curve 、 Mechanical rotating structure and fan control strategy , In order to improve the accuracy of wind power prediction system .

3 Running results

  

4 Matlab Code implementation  

This article only shows part of the code , See ： We are shipping your work details

5 At the end

Some theories cite network literature , If there is infringement, please contact the blogger to delete .