A multi‐power quality problems management strategy based on VSCs and switches in AC/DC hybrid LVDN with large PVs

Abstract A large scale of distributed photovoltaics is accessed through a low voltage distribution network in a single‐phase or two‐phase, which causes three‐phase unbalance and over‐voltage problems. These problems can be solved by using a voltage source converter to realize AC/DC interconnection and flexible power transfer between lines. How to utilize the characteristics of voltage source converters to optimize the power qualities, and fully promote distributed PV systems consumption in low voltage distribution network is an important research point. This paper proposes a power regulation model of VSC. The goal of this model is to adjust and optimize over‐voltage and three‐phase unbalance problems. By constructing a voltage‐power sensitivity calculation model for a three‐phase four‐wire system and integrating different control modes and adjustment capabilities of voltage source converters, a control strategy based on voltage source converters is proposed to address three‐phase unbalance and over‐voltage issues. Finally, the simulation results demonstrate the effectiveness of the proposed strategy.

Authors

Institutions

Publication Details

Journal
IET Renewable Power Generation
Published
2024-08-19
DOI
https://doi.org/10.1049/rpg2.12982
Citations
2
Primary Topic
Microgrid Control and Optimization
Type
article
Field-Weighted Citation Impact
0.66

Funders

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

A multi‐power quality problems management strategy based on VSCs and switches in AC/DC hybrid LVDN with large PVs

Weichen Yang, Yue Li, Wei Li, Hao Bai et al.
2 citations
IET Renewable Power Generation
Microgrid Control and Optimization
0.66
article

A multi‐power quality problems management strategy based on VSCs and switches in AC/DC hybrid LVDN with large PVs

Weichen Yang, Yue Li, Wei Li, Hao Bai, Yongxiang Cai, Yu Fu
article en
2 citations

Abstract

Abstract A large scale of distributed photovoltaics is accessed through a low voltage distribution network in a single‐phase or two‐phase, which causes three‐phase unbalance and over‐voltage problems. These problems can be solved by using a voltage source converter to realize AC/DC interconnection and flexible power transfer between lines. How to utilize the characteristics of voltage source converters to optimize the power qualities, and fully promote distributed PV systems consumption in low voltage distribution network is an important research point. This paper proposes a power regulation model of VSC. The goal of this model is to adjust and optimize over‐voltage and three‐phase unbalance problems. By constructing a voltage‐power sensitivity calculation model for a three‐phase four‐wire system and integrating different control modes and adjustment capabilities of voltage source converters, a control strategy based on voltage source converters is proposed to address three‐phase unbalance and over‐voltage issues. Finally, the simulation results demonstrate the effectiveness of the proposed strategy.

IET Renewable Power GenerationVol. 18(15)
Guizhou Electric Power Design and Research Institute (CN), China Southern Power Grid (China) (CN)
China Southern Power Grid
Affordable and clean energy
Openalex Percentile: Top 31%
Microgrid Control and Optimization
0.66
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.

A multi‐power quality problems management strategy based on VSCs and switches in AC/DC hybrid LVDN with large PVs — Weichen Yang, Yue Li, et al. · IET Renewable Power Generation (2024) | TGRS Research Map | TGRS