| Title |
A Study on the Application of the Recursive Least Square Method for Estimating Harmonic Load Model |
| Authors |
박종일(Jong-Il Park) ; 박창현(Chang-Hyun Park) |
| DOI |
https://doi.org/10.5370/KIEE.2019.68.7.827 |
| Keywords |
Harmonics ; Harmonic contribution ; Parameter estimation ; Recursive least square ; Variable forgetting factor |
| Abstract |
This paper presents a method of recursive least squares (RLS) using variable forgetting factor for estimating harmonic load model. In order to evaluate harmonic contributions between supply system and consumers, the harmonic equivalent models of supply system and consumers are needed. The parameters of harmonic load model can be estimated using a recursive least squares algorithm. The parameter estimation performance of RLS is depending on various factors such as forgetting factor, data characteristics and white noise. Even though it is very important to determine an appropriate forgetting factor corresponding to measured data, previous studies have used a constant forgetting factor. In this paper, we proposed an effective RLS parameter estimation with variable forgetting factor and carried out a comparative analysis of the estimation performance between constant and variable forgetting factors. To verify the performance of the proposed method, voltage and current are measured at PCC(Point of Common Coupling) of PSCAD test system and harmonic load parameters are estimated using the proposed RLS. |