
Computational effective modified Newton–Raphson algorithm for power harmonics parameters estimation
Author(s) -
Petrović Predrag B.,
Rozgić Dimitrije
Publication year - 2018
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
eISSN - 1751-9683
pISSN - 1751-9675
DOI - 10.1049/iet-spr.2017.0573
Subject(s) - jacobian matrix and determinant , newton's method , algorithm , harmonics , convergence (economics) , computation , computer science , secant method , rate of convergence , inversion (geology) , mathematics , mathematical optimization , control theory (sociology) , nonlinear system , physics , control (management) , quantum mechanics , voltage , artificial intelligence , computer network , paleontology , channel (broadcasting) , structural basin , economics , biology , economic growth
This study proposes a new algorithm for power harmonics parameters estimation based on the modified Newton–Raphson method. The main modification is achieved through reconfiguration of the Jacobian matrix and direct calculation of its characteristic coefficients without the necessity of inversion. The zero‐crossing method was used to compute the frequency basically for initial frequency estimation. With additional digital filtering, the parameters can be initialised properly and the updating steps can be supervised for fast quadratic convergence of Newton–Raphson iterations. This combined approach yields high accuracy and good tracking speed, thereby significantly facilitating both the computation and programming. Reliability and effectiveness of the proposed method were confirmed through simulation tests and results.