Paper Info
Title
Guaranteed Maximum Power Point Tracking By Scalar Iterations With Quadratic Convergence Rate
Abstract
In this paper the problem of maximum power point tracking (MPPT) is considered. We show that the problem has a unique solution and it can be reduced to the problem of finding the unique root of a single variable scalar function. We show that Newton's iterations can be applied to the problem of finding this root quadratically fast for an initialisation that is independent of the parameters of the MPPT problem. The results of applying the approach to 1,000,000 randomly generated instances of the MPPT problem are presented and consistency with the analysis is observed.
Year
Venue
Field
2016
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC)
Convergence (routing),Mathematical optimization,Quadratic growth,Control theory,Upper and lower bounds,Scalar (physics),Maximum power point tracking,Rate of convergence,Mathematics,Scalar field
DocType
ISSN
Citations 
Conference
0743-1546
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Iman Shames163348.29
Farhad Farokhi29522.77
Michael Cantoni323938.80