Research on the Photovoltaic MPPT Method Based on Improved BP-SVM-ELM Combination Prediction

Research on the Photovoltaic MPPT Method Based on Improved BP-SVM-ELM Combination Prediction

In order to solve the problems of maximum power point tracking(MPPT) such as power oscillation and slow tracking speed when using traditional methods, this paper proposed a combined prediction algorithm that considered variables affecting photovoltaic output characteristics. The algorithm uses genet...

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Bibliographic Details
Main Authors: DAI Bowang, ZHAO Xianggui, ZHU Qiliang
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2019-01-01
Series:Kongzhi Yu Xinxi Jishu
Subjects:
photovoltaic power generation
maximum power point tracking
combination prediction
genetic algorithm
neural networks
support vector machine
extreme learning machine
Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.01.009
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http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2019.01.009

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