Research on Optimal Gradient - Climbing Algorithm in Wind Power Generation

Qiang Zhao; Chang Cui

doi:10.4028/www.scientific.net/AMM.385-386.1100

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Study on Improvement Transient Stability of the Large-Scale Wind Farms Integration with STATCOM
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Study on Topology Optimization Algorithm of Power Communication Network Based on Complex Network Theory
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Research on Optimal Gradient - Climbing Algorithm in Wind Power Generation
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A Self-Tuning Power System Stabilizer Design
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Analysis on Altitude Correction Factor of 750kV Transmission Line Conductors Corona Inception Voltage
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Research on the Optimal Dispatching Strategies of Power System with Large-Scale Wind Power
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 385-386Research on Optimal Gradient - Climbing Algorithm...

Research on Optimal Gradient - Climbing Algorithm in Wind Power Generation

Abstract:

Maximum power point tracking for wind power generation system fixed step climbing algorithm prone to miscalculation and oscillation shortcomings. Adaptive improved optimal gradient method is put forward to overcome the shortcomings and optimize the existing fixed step climbing algorithm. By Controlling Buck Converter duty radio rapidly match between wind power generation system and load impedance. The simulation result shows that the anti-interference and convergence of the improved hill-climb search algorithm is better than that of the traditional one.

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Periodical:

Applied Mechanics and Materials (Volumes 385-386)

Pages:

1100-1103

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.385-386.1100

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Online since:

August 2013

Authors:

Qiang Zhao, Chang Cui

Keywords:

Hill-Climbing Algorithm, Maximum Power Point Tracking (MPPT), Optimal Gradient Method, Wind Power Generation

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