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105 kisore

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105 kisore

  1. 1. Yeshwantrao Chavan College of Engineering, Nagpur (Department of Electrical Engineering) Ph.D. (Electrical Engineering) Research Scholar Presentation of paper On “ Power Quality Analysis of Grid Connected Wind Energy ” Paper Id=105 Participant’s Reference No=1307 11/12/2013 Presented by Kishor Vinayak Bhadane Asst. Prof. , G.H.Raisoni Institute of Engineering & Management ,Jalgaon Presentation Date 11/12/2013 (Wednesday) Research Guide & Mentor Dr. M. S. Ballal & Dr. R. M. Moharil Associate Professor, Electrical Dept. V.N.I.T , Nagpur & Prof. in YCCE, Nagpur Venue ICAER 2013 Department of Energy Science and Engineering, Indian Institute of Technology Bombay, Pawai Mumbai, Maharashtra, India 1
  2. 2. Contents 1. Introduction 2. System Development & Its Description 3. Power Quality Analysis- Case Study 4. Simulations & Modelling 5. Conclusions References 11/12/2013 2
  3. 3.  I. INTRODUCTION  Renewable Energy & Its Importance[1]  DG Solution against load shedding in rural area of Maharashtra, India.[2]  Electrical Power Quality.[3]  Integrating renewable into grids and Power Quality issues.[4]  Heavy Penetration of Renewable Wind Energy affect Power Quality.[5] 11/12/2013 3
  4. 4. II SYSTEM DEVELOPMENT & ITS DESCRIPTION  Integrated wind farm is used and power quality analysis is performed.[6]  The integration of big wind farm will create new problems regarding the power quality.[7]  Technical details of Wind farm.[8]  The simulation model implemented in the MATLAB/SIMULINK. [9] 11/12/2013 4
  5. 5.  Renewable Energy Source (RES) integrated at distribution level is termed as Distributed Generation(DG).[10]  high penetration level of wind energy in distribution systems, as it may pose a threat to network is terms of Power Quality(PQ) issues , voltage regulation and stability. [11]  wind energy system integration issues associated PQ problems are discussed. and  As per the modeling and simulation of a case study, the power quality of the grid connected wind farm has been investigated at different wind velocity. [12] 11/12/2013 5
  6. 6.  Normal operation of 52 Wind mills by using MATLAB/SIMULINK  Top /first 26 Wind Mills simulation-IG,Wind speed, P in Mw &Bottom /second 26 Wind Mills simulationWind speed, P in Mw 11/12/2013 6
  7. 7. operation of 52 Wind mills by using MATLAB/SIMULINK under voltage sag 11/12/2013 7
  8. 8.  operation of 52 Wind mills by using MATLAB/SIMULINK under voltage swell 11/12/2013 8
  9. 9. Operation of 52 Wind mills by using MATLAB/SIMULINK under Harmonics Discrete 1 11/12/2013 9
  10. 10.  11/12/2013 Discrete 2 10
  11. 11.  11/12/2013 Discrete 3 11
  12. 12.  III SIMULATION AND MODELLING  Wind turbines cause significant impacts on the power quality of their connected grid.  Voltage fluctuations produced by wind turbines are usually due to wind speed variations, power and voltage fluctuations.  This case presents simulations for numerical models of two wind turbine schemes, fixed and variable speed types, by using MATLAB/SIMULINK.[12]  In order to investigate the power system impact of wind turbines, it is essential to use accurate dynamic simulation models of wind turbines and power system. 11/12/2013 12
  13. 13.  The models must correctly represent the dynamic behavior of the wind turbines in order to predict critical operation conditions at the one hand and to improve their dynamic performance at the other hand.  Hence, those wind turbine models have to be developed and implemented in dedicated power system simulation tools in order to facilitate study on the wind turbines interaction with the power system. MATLAB software tools build the basis for power system simulations .[13] 11/12/2013 13
  14. 14.  Normal operation of 52 Wind mills by using MATLAB/SIMULINK  Top /first 26 Wind Mills simulation-IG,Wind speed, P in Mw 11/12/2013 14
  15. 15.  Bottom /second 26 Wind Mills simulation-IG,Wind speed, P in Mw 11/12/2013 15
  16. 16.  Data Acuitision 1  Measurment 1 11/12/2013 16
  17. 17.   Measurment 2 11/12/2013 17
  18. 18.  Data Aquitision 2  Measurement 1 11/12/2013 18
  19. 19. IV POWER QUALITY ANALYSISCASE STUDY  Voltage sag at Induction Generator side 11/12/2013 19
  20. 20.  Voltage sag at 33 kv bus side 11/12/2013 20
  21. 21.  Operation of 52 Wind mills by using MATLAB/SIMULINK under voltage sag  Top /first 26 Wind Mills & bottom /second 26 Wind Mills simulation, Wind speed,P in Mw 11/12/2013 21
  22. 22.  Data Acquisition 1  measurement 1 11/12/2013 22
  23. 23.  Measurement 2 11/12/2013 23
  24. 24.  Data aquitision 2  Measurment 1 11/12/2013 24
  25. 25. Voltage sag at I.G.side 11/12/2013 25
  26. 26.  Current at 690 v 11/12/2013 26
  27. 27.  Voltage sag of 33kv bus at 690 v 11/12/2013 27
  28. 28.  Power factor 11/12/2013 28
  29. 29.  Q AT 690 V 11/12/2013 29
  30. 30.  P at 690 v 11/12/2013 30
  31. 31.   Operation of 52 Wind mills by using MATLAB/SIMULINK under voltage swell  Top /first 26 Wind Mills simulation-IG,Wind speed, P in Mw 11/12/2013 31
  32. 32.  bottom /second 26 Wind Mills simulation-IG,Wind speed, P in Mw 11/12/2013 32
  33. 33.  Data acquisition 1  Measurement 1 11/12/2013 33
  34. 34.  V. CONCLUSIONS  modeling and simulation of Indian wind farm by using MATLAB/SIMULINK has been carried out.  In this case, simulations of wind turbine system to assess power quality that will affect the power system before actual installation have been performed. Because of the complexity of the model under study, the computational burden is high. Future work will focus on the reduction of simulation time and increase the solution accuracy.  This case investigated the possible approaches for integration of FSIG wind farms to the power network.  This case presents the performance analysis of grid connected wind farm by using MATLAB/SIMULINK for power quality Analysis.  Power Quality issues of high penetrated grid connected wind farm has been investigated. 11/12/2013 34
  35. 35.  References  [1] E. Muljadi, C.P. Butterfield,J. Chacon,H. Romanowitz ,” POWER QUALITY ASPECTS IN A WIND POWER PLANT”,IEEE 2006  [2] Gabriele Michalke, Department for Renewable Energies Institute of Electrical power system,” Variable Speed Wind Turbines - Modelling, Control, and Impact on Power Systems “, pp.1-228, 2008  [3} Nguyen Tung Linh ,Electric Power University, “Power Quality Investigation of Grid Connected Wind Turbines”, ICIEA 2009, pp.2018-2022, IEEE 2009  [4] SU Shi-ping ,QIN Zhi-qing ,” Study on Transient Power Quality Detection of Grid-Connected Wind Power Generation System Based on Wavelet Transform”, DOI 10.1109/ICEET.2009.213,PP.861864,IEEE computer society.  [5] H. J. Su, H. Y. Huang, and G. W. Chang,” Power Quality Assessment of Wind Turbines by Matlab/Simulink”, IEEE 2010.  [6] O. A. Giddani, G. P. Adam, O. Anaya-Lara, G. Burt and K. L. Lo, ” Enhanced performance of FSIG wind farms for Grid Code compliance”, SPEEDAM 2010 International Symposium on Power Electronics, Electrical Drives, Automation and Motion, pp.660-665 IEEE 2010.  [7] Zbigniew Leonowicz, ” Assessment of Power Quality in Wind Power Systems”, IEEE 2011  [8] John P. Barton, Simon J. Watson, “Analysis of electrical power data for condition monitoring of a small wind turbine” , Published in IET Renewable Power Generation, doi: 10.1049/iet-rpg.2012.0326.  [9] Sharad W. Mohod, Member, IEEE, and Mohan V. Aware “Micro wind power generator with battery storage” IEEE SYSTEMS JOURNAL, VOL. 6, NO. 1, MARCH 2012  [10] S. W. Mohod and M. V. Aware, “Power quality issues & it’s mitigation technique in wind energy conversion,” in Proc. of IEEE Int. Conf. Quality Power & Harmonic, Wollongong, Australia, 2008.  [11] J. J. Gutierrez, J. Ruiz, L. Leturiondo, “Comparison of Different Control Strategies of STATCOM for Power Quality Improvement of Grid Connected Wind Energy System”, PP.124-131, IEEE 2013  [12] T. Burton, D. Sharpe, N. Jenkins ,E. Bossanyi, “Wind Energy Handbook ”, John Wiley & sons Ltd. Chichester , 2001  [13] J. F. Manwell , J. G. Mcgowan , A. L.Rogers, “Wind Energy Explained : Theory , Design and Application ”, John Wiley & sons Ltd. Chichester , 2002. 11/12/2013 35
  36. 36. 11/12/2013 THANK YOU 36

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