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Signal Processing and Robust Statist...

Braun, Henry.

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Signal Processing and Robust Statistics for Fault Detection in Photovoltaic Arrays.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Signal Processing and Robust Statistics for Fault Detection in Photovoltaic Arrays./
作者:	Braun, Henry.
面頁冊數:	73 p.
附註:	Source: Masters Abstracts International, Volume: 50-05, page: 3305.
Contained By:	Masters Abstracts International50-05.
標題:	Engineering, Electronics and Electrical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1509252
ISBN:	9781267299789

Signal Processing and Robust Statistics for Fault Detection in Photovoltaic Arrays.
Braun, Henry.

Signal Processing and Robust Statistics for Fault Detection in Photovoltaic Arrays. - 73 p.

Source: Masters Abstracts International, Volume: 50-05, page: 3305.

Thesis (M.S.)--Arizona State University, 2012.

Photovoltaics (PV) is an important and rapidly growing area of research. With the advent of power system monitoring and communication technology collectively known as the "smart grid," an opportunity exists to apply signal processing techniques to monitoring and control of PV arrays. In this paper a monitoring system which provides real-time measurements of each PV module's voltage and current is considered. A fault detection algorithm formulated as a clustering problem and addressed using the robust minimum covariance determinant (MCD) estimator is described; its performance on simulated instances of arc and ground faults is evaluated. The algorithm is found to perform well on many types of faults commonly occurring in PV arrays. Among several types of detection algorithms considered, only the MCD shows high performance on both types of faults.

ISBN: 9781267299789Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Signal Processing and Robust Statistics for Fault Detection in Photovoltaic Arrays.
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