Optimization of the Variable Step for the MPPT Control Strategy

Abstract

Abstract:

The maximum power tracking of wind power is one of the key researches for wind power technology and hill-climb searching algorithm can provide the wind power system with the best real-time search step, which makes the maximum output power of the wind turbine. Traditional hill-climb searching algorithm has an anti-interference ability with the problem of power inaccurate tracking, therefore, an optimized search step for variable step climbing search algorithm has been proposed.Based on the model who can be more realistic simulate the wind speed on the simulation experiment, the results show that by optimizing the search step, not only the output power losses are minimized, but also the oscillation of output power can be avoided by the effective regulation of step change, making the anti-interference ability of the system improved and verifying the effectiveness of the proposed algorithm.

Key words: The maximum power tracking, climbing search algorithm, variable step, optimization

CLC Number:

TM714

Li Hong,Zhao Xiaomin. Optimization of the Variable Step for the MPPT Control Strategy[J]. Journal of Electrical Engineering, 2015, 10(10): 30-36.

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