power control of a wind energy conversion system
TRANSCRIPT
ASeminar Presentation
on“Power Control of a Wind Energy Conversion System”
(978-1-4799-7947,2015)(Samir Bellarbi, Djohra Saheb Koussa, A.Rennane)
Presented By:Sourabh Badbadwal4th year, EEPCE/EE/12/146
Poornima College of EngineeringDepartment of Electrical Engineering
ISI-6 RIICO Institutional Area, Sitapura Jaipur -302022
Submitted to: Mr. Manish Sharma Mr. Dharmendra Kr. Bansal Dept. Of Electrical Engg.
2015-16
1
Contents:1. Introduction2. Modeling of conversion system3. Fuzzy logic control method4. Result and simulation5. Conclusion6. References
2
Introduction: Electricity production from wind turbines to fulfill the
renewable-energy targets.
Globally, 63,013 MW of new wind power capacity was
added in 2015.[2]
Total cumulative installations: 432,419 MW.[2]
Installed capacity of wind power in India was 25,188 MW.
[2]
India is the second largest wind market in Asia after China.
[2]3
Modeling of conversion system:Modeling of wind energy conversion system consist of three part-(a) Wind speed modeling(b) Wind turbine modeling(c) DFIG modelingWind speed modeling:
The wind speed can be modeled by[3]
4
Contd….Wind turbine modeling:
The active surface S of the wind power through turbine is given by :
5
Fig.1Wind turbine model
Contd… DFIG modeling: The voltage and the power expression of DFIG are given by-
6
Fig.2 DFIG model
Fuzzy logic control method:
A fuzzy logic control method for MPPT of wind energy conversion systems is controlled by two types:(a) MPPT without speed control(b) MPPT with speed control MPPT without speed control: In this case, this amount to considering the mechanical
torque C(mec.) developed as zero. So, neglecting the viscous friction torque is zero.
7
Contd..
8
Fig.3 MPPT without speed control
MPPT with speed control:In this case, the power generated and electromagnetic torque developed sat all times equal to the reference value.
9
Fig.4 MPPT with speed control
Result and simulation:
10
Conclusion: The objective of the present study is to control device
of the set to operate the wind so as to extract the maximum wind energy, this system also allowed us to make a comparative study between two strategies with and without MPPT.
On the other hand, to increase the flux of the electric power transmitted. This chain allows us to see changes in voltages and currents as well as wind power.
11
References:[1] O. Gergaud « Energy modeling and economic optimization of a production system coupled to the wind and photovoltaic system and associated with an accumulator», Doctor Thesis of the Ecole Normale Superieure de Cachan, France. [2] GWEC « Global Wind Energy Council » Global Wind Report, Annual Market update,2011, www.gwec.net, [3] S. Bellarbi « Modeling and simulation of wind energy chain conversion», 2013 Desalination Publications. [4] S. Bellarbi « Double-fed Asynchronous Wind Power Generator by Fuzzy Logic », IRSEC 2013 Maroc. [5] D. Le GOURIERE « Wind energy, theory, design and practical calculation of facilities », Eyrolls ; Paris, 1982. [6] A. Chauvin « The Savonius wind turbine. Study aerodynamic and mechanical performance», "12th International Days of Heat. [7] J. Martin «Contribution to the voltage supply of Permanent Magnet Synchronous Machine a Number of Phases High, Normal and Gradient », Doctor Thesis, National Polytechnic Institute, Lorraine, France, 2010.
12
13
14