Multi-factor Sensitivity to Power Quality of Power Electronic Distribution Systems

With the reduction of the price of photovoltaic (PV) panels and policy support, more and more PV power generation is being integrated into the grid. As PV inverters use power electronic devices, they will introduce harmonics into the grid, which can easily cause waveform distortion and equipment damage. At the same time, extensive access to PV can easily cause power back-feeding problems, resulting in over-voltage at the grid-connected point. It is very important to study the impact of PV parameter access on power quality at grid-connected points. However, the current research focuses on the impact of a single parameter, while in practical applications, the impact of PV access to power quality at the grid point of common coupling (PCC) varies due to different environments, installation locations, and so on. Therefore, this paper compares the effects of different irradiances, line impedance, and control parameters on total harmonic distortion (THD) and grid-connected point voltage under ideal and background harmonic scenarios through simulation experiments, and derives the parameter variation rules that are conducive to the reduction of THD and the control voltage in the stable domain. In the practical application, it can be used to guide the power quality improvement of grid-connected points.

Authors

Institutions

Publication Details

Published
2024-10-15
DOI
https://doi.org/10.1109/ichqp61174.2024.10768747
Primary Topic
Power Quality and Harmonics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multi-factor Sensitivity to Power Quality of Power Electronic Distribution Systems

Linli Zhang, Pengbo Shan, Qianqian Li, Shidong Zhang et al.
Power Quality and Harmonics
article

Multi-factor Sensitivity to Power Quality of Power Electronic Distribution Systems

Linli Zhang, Pengbo Shan, Qianqian Li, Shidong Zhang, Yuanyuan Sun, Yahui Li
article en

Abstract

With the reduction of the price of photovoltaic (PV) panels and policy support, more and more PV power generation is being integrated into the grid. As PV inverters use power electronic devices, they will introduce harmonics into the grid, which can easily cause waveform distortion and equipment damage. At the same time, extensive access to PV can easily cause power back-feeding problems, resulting in over-voltage at the grid-connected point. It is very important to study the impact of PV parameter access on power quality at grid-connected points. However, the current research focuses on the impact of a single parameter, while in practical applications, the impact of PV access to power quality at the grid point of common coupling (PCC) varies due to different environments, installation locations, and so on. Therefore, this paper compares the effects of different irradiances, line impedance, and control parameters on total harmonic distortion (THD) and grid-connected point voltage under ideal and background harmonic scenarios through simulation experiments, and derives the parameter variation rules that are conducive to the reduction of THD and the control voltage in the stable domain. In the practical application, it can be used to guide the power quality improvement of grid-connected points.

Shandong University (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 80%
Power Quality and Harmonics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Multi-factor Sensitivity to Power Quality of Power Electronic Distribution Systems — Linli Zhang, Pengbo Shan, et al. · (2024) | TGRS Research Map | TGRS