基于堆叠自动编码器的诊断应用于太阳能光伏系统

Q3 Engineering
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引用次数: 0

摘要

本文论述了一个与电网相连的光伏系统的建模,以模拟正常和故障运行,并生成一个数据集,用于学习基于堆叠自动编码器的故障检测算法。为了评估所提出方法的有效性,使用了均方误差。这种方法可以实现早期故障检测,提高系统的可靠性和效率,同时满足正常条件下系统主动故障管理的需要。在不同辐射和温度条件下获得的结果凸显了所提模型的相关性和故障检测算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stacked AutoEncoder based diagnosis applied on a Solar Photovoltaic System

This paper deals with the modeling of a photovoltaic system connected to a grid for the simulation of normal and faulty operations and the generation of a data-set for learning a fault detection algorithm based on a Stacked Autoencoder. To evaluate the effectiveness of the proposed approach, a Mean Squared Error is used. This method enables early fault detection, enhancing system relability and efficiency while addressing the need for proactive fault management in the system under normal conditions. Obtained results under different radiation and temperature conditions highlight the relevance of the proposed model and the effectiveness of the fault detection algorithm.

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来源期刊
IFAC-PapersOnLine
IFAC-PapersOnLine Engineering-Control and Systems Engineering
CiteScore
1.70
自引率
0.00%
发文量
1122
期刊介绍: All papers from IFAC meetings are published, in partnership with Elsevier, the IFAC Publisher, in theIFAC-PapersOnLine proceedings series hosted at the ScienceDirect web service. This series includes papers previously published in the IFAC website.The main features of the IFAC-PapersOnLine series are: -Online archive including papers from IFAC Symposia, Congresses, Conferences, and most Workshops. -All papers accepted at the meeting are published in PDF format - searchable and citable. -All papers published on the web site can be cited using the IFAC PapersOnLine ISSN and the individual paper DOI (Digital Object Identifier). The site is Open Access in nature - no charge is made to individuals for reading or downloading. Copyright of all papers belongs to IFAC and must be referenced if derivative journal papers are produced from the conference papers. All papers published in IFAC-PapersOnLine have undergone a peer review selection process according to the IFAC rules.
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