NDLI: Anomaly Detection of Solar Power Generation Systems Based on the Normalization of the Amount of Generated Electricity

Content Provider	IEEE Xplore Digital Library
Author	Akiyama, Y. Kasai, Y. Iwata, M. Takahashi, E. Sato, F. Murakawa, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Inf. Sci., Toho Univ., Funabashi, Japan (Akiyama, Y.; Sato, F.) \|\| Inf. Technol. Res. Inst., Nat. Inst. of Adv. Ind. Sci. & Technol. (AIST), Tsukuba, Japan (Kasai, Y.; Iwata, M.; Takahashi, E.; Murakawa, M.)
Abstract	Solar power generation has attracted significant attention recently as a safe and environmentally friendly renewable energy source. However, generally speaking, since the service lives of solar power systems are relatively long, and since it is difficult to detect anomalies in individual solar panels, such plants tend to operate without much consideration for individual panel anomalies. In order to more comprehensively monitor solar power generation systems, the National Institute of Advanced Industrial Science and Technology (AIST) of Japan has developed a direct current (DC) power line communication system that enables monitoring of each panel in a system. Monitored data are then integrated and uploaded to the cloud. Using this monitored data, we found that the integrated power ratio trends of single panel power output are in accordance with a normal distribution. Therefore, herein, we propose an anomaly detection method that uses a normal distribution. We then describe an experiment using 24 solar panels into which pseudo-faults were induced and show that our proposal makes it possible to detect errors with high accuracy.
Starting Page	294
Ending Page	301
File Size	583328
Page Count	8
File Format	PDF
ISSN	1550445X
e-ISBN	9781479979059
DOI	10.1109/AINA.2015.198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-24
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Current Monitoring Gaussian distribution Solar power generation Clouds Detection algorithms power line communication anomaly detection solar power generation systems cloud
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Intelligent Modeling Scheme for Detection of Line Losses in Power Distribution System

A Proposal for Development of Cloud Platform Using Solar Power Generation

An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems

Classification for Trademark Image Based on Normal Cloud Model

Monitoring System of Distribution Running States Based on Broadband Power Line Communication

Solar forecasting and variability analyses using sky camera cloud detection & motion vectors

An LOF-Based Adaptive Anomaly Detection Scheme for Cloud Computing

Distribution line monitoring system for the detection of power theft using power line communication

The effects analysis of measurement anomaly in electricity settlement of provincial generation power market

Anomaly Detection of Solar Power Generation Systems Based on the Normalization of the Amount of Generated Electricity

Similar Documents

Intelligent Modeling Scheme for Detection of Line Losses in Power Distribution System

A Proposal for Development of Cloud Platform Using Solar Power Generation

An Anomaly Detection Framework for Autonomic Management of Compute Cloud Systems

Classification for Trademark Image Based on Normal Cloud Model

Monitoring System of Distribution Running States Based on Broadband Power Line Communication

Solar forecasting and variability analyses using sky camera cloud detection & motion vectors

An LOF-Based Adaptive Anomaly Detection Scheme for Cloud Computing

Distribution line monitoring system for the detection of power theft using power line communication

The effects analysis of measurement anomaly in electricity settlement of provincial generation power market

Anomaly Detection of Solar Power Generation Systems Based on the Normalization of the Amount of Generated Electricity