Voltage Trajectory Prediction of Photovoltaic Power Station Based on CNN-GRU

Voltage Trajectory Prediction of Photovoltaic Power Station Based on CNN-GRU

The output randomness of photovoltaic power stations can easily cause large voltage fluctuations at grid-connection points. Advance regulation through trend prediction is an effective way to improve voltage stability. To improve the accuracy of voltage trend prediction, this paper proposes a voltage...

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Bibliographic Details
Main Authors: Yuqi FENG, Hui LI, Lijuan LI, Yanbo ZHOU, Mao TAN, Hanmei PENG
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2022-07-01
Series:Zhongguo dianli
Subjects:
photovoltaic power station
voltage trajectory prediction
maximal information coefficient
convolutional neural networks
gated recurrent unit
Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202112009
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https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202112009

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