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《第36届中国控制会议论文集(B)》2017年
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A new MPPT method for photovoltaic grid-connected system based on Markov model

Suwei Zhai  Yonghui Sun  Jiaqiang Wang  Bowen Zhang  
【摘要】:This paper addresses the problem of maximum power point tracking for photovoltaic grid-connected system based on Markov model. Considering the stochastic characteristic of solar irradiation, a new maximum power point tracking method based on Markov model is proposed. Four discrete states are defined from a Markov chain according to the collected solar irradiation data, then the probability transition matrix is obtained. The maximum power point and the corresponding duty ratio after the solar irradiation changed can be estimated by the probability transition matrix and the previous state, the tracking results will be more accurate by adjusting the estimated duty ratio. Finally, simulation results are provided to illustrate the effectiveness of the proposed algorithm.
【作者单位】:College of Energy and Electrical Engineering,Hohai University
【基金】:supported in part by the National Natural Science Foundation of China under Grant 61673161 in part by the Natural Science Foundation of Jiangsu Province of China under Grant BK20161510 in part by the 111 Project under grant B14022
【分类号】:O211.62;TM615
【正文快照】:
1 IntroductionWith the petroleum resources exhausted,renewableenergy has become progressively more important inmodern society.As a renewable energy,solar energy hasreceived great attention as time goes on,and photovoltaic(PV)grid-connected system are rap

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