Research on Power Industry with Application of Improved Hill-Climbing Algorithm in Wind Power Generation System

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This article puts forward improved hill-climbing algorithm based on the problems that exist in wind power system compared with traditional hill-climbing searching MPPT control algorithm.In order to obtain optimum power curve,the improved algorithm finds the maximum power point when wind speed is steady firstly,then estimating torque loss accurately of motor to calculate system power loss indirectly when system is in the state of maximum power point.At last,the disturbance step is adjusted in real time based on distance between actual work point and optimum power curve.The improved hill-climbing algorithm does not exist the phenomenon that there is concussion near the maximum power point.What is more, the tracking direction could not be misled and tracking speed is sooner for tracking maximum power point when wind speed changes rapidly.By using Matlab for algorithm simulation,the result shows that improved hill-climbing algorithm could make up for the deficiency of traditional algorithm effectively.

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211-215

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Xiong Liang,Zou Xuan.Research on the Control Method of Direct-drive Wind Power System [J].Electrical Measurement & Instrumentation,2010,47(530):31-34.

Google Scholar

[2] Musunuri S,Ginn H L,Comprehensive Review of Wind Energy Maximum Power Extraction Algorithms[C],IEEE Power and Energy Society General Meeting,Detroit, MI, United states,2011.

DOI: 10.1109/pes.2011.6039023

Google Scholar

[3] Kazmi S M R,Goto H,Guo H J,et al.Review and Critical Analysis of the Research Papers published till date on Maximum Power Point Tracking in Wind Energy Conversion System[C].2010 2nd IEEE Energy Conversion Congress and Exposition,Atlanta,GA,United states,2010.

DOI: 10.1109/ecce.2010.5617747

Google Scholar

[4] Raza K S M,Goto H,Guo H J,et al.Novel speed-sensorless adaptive hill climbing algorithm for fast and efficient maximum power point tracking of wind energy conversion systems[C].2008 IEEE International Conference on Sustainable Energy Technologies,Singapore, Singapore,2008.

DOI: 10.1109/icset.2008.4747083

Google Scholar

[5] Kazmi S M R,Goto H,Guo H J,et al.A novel algorithm for fast and efficient speed-sensorless maximum power point tracking in wind energy conversion systems[J].IEEE Transactions on Industrial Electronics,2011,58(1):29-36.

DOI: 10.1109/tie.2010.2044732

Google Scholar

[6] Xia Y,Ahmed K H,Williams B W.Wind turbine power coefficient analysis of a new maximum power point tracking technique.IEEE Transactions on Industrial Electronics,2013,60(3):1122-1132.

DOI: 10.1109/tie.2012.2206332

Google Scholar

[7] Ying Z,Ming C,Wei H,et al.A Novel Maximum Power Point Tracking Control for Permanent Magnet Direct Drive Wind Energy Conversion Systems[J].Energies,2012,5(5),1398-1412.

DOI: 10.3390/en5051398

Google Scholar

[8] Zhu Ying,Cheng Ming,Hua Wei, etc.Maximum Power Point Tracking Control for Wind Energy Conversion Systems Considering Loss Torque [J].Proceedings of the CSEE,2013,33(19):39-46.

Google Scholar