NDLI: KF-based technique for detection of anomalous condition of the PV panels

Content Provider	IET Digital Library
Author	Ghanbari, Teymoor Hoseini, Seyed Reza Khayam
Abstract	This study deals with an approach for photovoltaic (PV) panel monitoring based on extended Kalman filter (EKF). For detection of anomalous condition, I–V and P–V characteristics derived by the PV model in normal condition (named reference model) are compared with the corresponding ones extracted from the PV model in the test condition (named test model). Parameters of the reference model are obtained from the standard test condition. Generally, maximum power point (MPP) tracking algorithms deviate operating point of PV systems to find the global MPP. In the proposed approach, the measured operating points of the PV system are passed through the EKF. In fact, the EKF is an adaptive low-pass filter for estimation of the operating MPP dictated by the MPP tracker. During a predefined inspection time interval, parameters of the test model are derived from the estimated MPP. The performance of the proposed method is evaluated using some simulations and experiments in different normal and anomalous conditions. The results confirm desirable accuracy and reliability of the proposed method for detection of the PV panels’ anomalous condition.
Starting Page	3698
Ending Page	3706
Page Count	9
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 15, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2015.1514
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-11-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Filter Adaptive Low-pass Filter EKF Extended Kalman Filter Filtering Method in Signal Processing Kalman Filter KF-based Technique Low-pass Filter Maximum Power Point Trackers Maximum Power Point Tracking Algorithm MPP Tracking Algorithm Nonlinear Filter Photovoltaic Panel Monitoring Photovoltaic Power System PV Model Solar Power Stations
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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