基于子集偏最小二乘(PLS)的光伏发电系统数据重构方法

2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) Pub Date : 2020-11-20 DOI:10.1109/AUTEEE50969.2020.9315696

Yan Zhou, Bofeng Xu, Xian Jia

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引用次数: 0

摘要

本文提出了一种数据重建方法，用于重建光伏发电系统面板串缺失的电流数据。利用来自实际光伏发电系统的两个训练集和一个评估集来构建和评估原始PLS数据重建模型。为了提高数据重建模型的准确性，建立了PLS子集模型，并利用评价集对模型进行了评价。结果表明，该方法能有效提高数据重构的精度。

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A photovoltaic (PV) power system data reconstruction method based on subset partial least squares (PLS)

In this paper, a data reconstruction method was proposed to reconstruct the missing current data of a panel string of a PV power system. Two training sets and one evaluation set from a practical PV power system were used to build and evaluate the original PLS data reconstruction model. To increase the accuracy of data reconstruction model, a subset PLS model was built and evaluated using the evaluation set. Results indicates the proposed method can increase the accuracy of data reconstruction effectively.

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2020 IEEE 3rd International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)

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