NDLI: Model-based maximum power point tracking for photovoltaic panels: parameters identification and training database collection

Content Provider	IET Digital Library
Author	Cristaldi, Loredana Faifer, Marco Laurano, Christian Ottoboni, Roberto Toscani, Sergio Zanoni, Michele
Abstract	Module-level distributed maximum power point tracking (MPPT) represents an attractive solution for photovoltaic systems installed in dense urban areas, where panels are often subject to different solar irradiance levels. Model-based MPPT algorithms are particularly suitable for the purpose: they enable good steady-state accuracy and fast dynamics thanks to an underlying parametric model of the panel. The target of the present study is deeply investigating the estimation of the model parameters, and the collection of the training database, since they heavily affect overall performance. In this work, parameter values result by maximising energy production considering the training database; under some simplifications, it leads to a weighted least squares problem that can be easily solved. One of the main advantages is the robustness in the presence of some identification data that have been collected under partially shadowed conditions. Moreover, the possibility to gather the training database by running a perturb and observe MPPT is investigated and tested for the first time. Energy production is allowed also during this stage, thus opening the way to a periodic update of the parameters to follow degradation and time drift of the module. Experimental results show that performance is virtually the same as that obtained by computing parameters from a large set of volt-ampere characteristics.
Starting Page	2876
Ending Page	2884
Page Count	9
ISSN	17521416
Volume Number	14
e-ISSN	17521424
Issue Number	Issue 15, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rpg/14/15
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2020.0101
Journal	IET Renewable Power Generation
Publisher Date	2020-09-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Dense Urban Areas Energy Production Maximum Power Point Trackers Model-based Maximum Power Point Tracking Model-based MPPT Algorithm Module-level Distributed Maximum Power Point Tracking Parameter Identification Photovoltaic Panels Photovoltaic Power System Photovoltaic System Power Electronics Power Supply Solar Irradiance Levels Solar Power Stations Steady-state Accuracy Supervisory Circuit Training Database Collection
Content Type	Text
Resource Type	Article
Subject	Renewable Energy, Sustainability and the Environment

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

Modified hill climbing MPPT algorithm with reduced steady-state oscillation and improved tracking efficiency

Hybrid global maximum power point tracking approach for photovoltaic power optimisers

MPPT methods for solar PV systems: a critical review based on tracking nature

Efficient maximum power point tracking using model predictive control for photovoltaic systems under dynamic weather condition

High-efficiency MPPT method based on irradiance and temperature measurements

Performance evaluation of a multistring photovoltaic module with distributed DC–DC converters

Real-time estimation of solar irradiance and module temperature from maximum power point condition

Fast and precise global maximum power point tracking techniques for photovoltaic system

Zero Oscillation and Irradiance Slope Tracking for Photovoltaic MPPT

Model-based maximum power point tracking for photovoltaic panels: parameters identification and training database collection

Similar Documents

Modified hill climbing MPPT algorithm with reduced steady-state oscillation and improved tracking efficiency

Hybrid global maximum power point tracking approach for photovoltaic power optimisers

MPPT methods for solar PV systems: a critical review based on tracking nature

Efficient maximum power point tracking using model predictive control for photovoltaic systems under dynamic weather condition

High-efficiency MPPT method based on irradiance and temperature measurements

Performance evaluation of a multistring photovoltaic module with distributed DC–DC converters

Real-time estimation of solar irradiance and module temperature from maximum power point condition

Fast and precise global maximum power point tracking techniques for photovoltaic system

Zero Oscillation and Irradiance Slope Tracking for Photovoltaic MPPT

Model-based maximum power point tracking for photovoltaic panels: parameters identification and training database collection