NDLI: Artificial neural network based maximum power point tracking technique for PV systems

Content Provider	IEEE Xplore Digital Library
Author	Elobaid, L.M. Abdelsalam, A.K. Zakzouk, E.E.
Copyright Year	2012
Description	Author affiliation: Arab Academy for Science, Technology and Maritime Transport (AASTMT), Alexandria, Egypt (Elobaid, L.M.; Abdelsalam, A.K.; Zakzouk, E.E.)
Abstract	The dependency of photovoltaic (PV) arrays on temperature and irradiance levels shapes their known nonlinear behavior; hence maximum power point tracking (MPPT) is mandatory. Traditional MPPT techniques, like Perturb and Observe (P&O) and Incremental Conductance (IncCond), offer acceptable performance with a trade-off between accuracy and fast operation. Moreover, moderate operation is remarked at rapidly changing environmental conditions. On the contrary, off-line trained artificial neural network (ANN) is considered as accurate, fast and robust estimation technique. In this paper, a two-stage off-line trained ANN based MPPT technique is proposed where two cascaded ANNs are utilized. The first estimates the temperature and irradiance levels from the array voltage and current signals while the other network determines the optimum peak operating point from the temperature and irradiance, estimated by the first ANN. The proposed technique offers enhanced performance even under rapidly changing environmental conditions, no need for temperature/irradiance measurement, in addition to reduced required training sets because of the presented ANN cascaded structure.
Starting Page	937
Ending Page	942
File Size	1731400
Page Count	6
File Format	PDF
ISBN	9781467324199
ISSN	1553572X
e-ISBN	9781467324212
e-ISBN	9781467324205
DOI	10.1109/IECON.2012.6389165
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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

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