Work

Principal Component Regression and Its Application in Power Harmonic Emission Level Evaluation

Year: 2019

Type: conference-paper

Abstract: Accurate harmonic emission level evaluation is the basis of distinguishing the responsibility of harmonic pollution between power supply system and consumer. A new harmonic emission level evaluation method via principal component regression (PCR) is proposed in this paper. Firstly, the principle of PCR is analyzed. Then, harmonic impedance of supply system is evaluated by PCR-based method. Subsequently, harmonic emission level of supply system and consumer is evaluated according to the harmonic impedance of supply system. This technique has the advantage of high accuracy in estimating harmonic emission level. The effectiveness of the proposed method was verified by computer simulations and field test.

Source: IOP Conference Series Materials Science and Engineering

DOI: 10.1088/1757-899x/677/4/042087

Authors: Shuping Song, Jie Wang, Linheng Li, Shuo Cheng, Zhijian Li

Institutions: Suzhou University of Technology, Shandong University of Technology

Language: English

Topic: Power Quality and Harmonics

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: diamond

Funder: Changshu Institute of Technology

OpenAlex ID: W2995809455

FWCI:

Cites: 8

Cited by: 1

Related to: 10