20212021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)Requires access

Research on Detection Technology of Islanding Effect in the Photovoltaic Grid-Connected Power Generation System

Hongjun Sun, Yunwei Zhao, Chunling Ma, Shunyao Chen, Baina He

Open publisher page 1 citations

Abstract

The islanding effect is one of the main problems caused by photovoltaic grid-connected power generation technology. Currently, most photovoltaic power plants use active frequency offset detection methods to detect islanding effects. Still, this method interferes with the output power quality, but its detection efficiency is greatly affected by the load. In this paper, the drawbacks of the active frequency offset detection method are improved to obtain the positive feedback operational frequency offset detection method. A simulation model of a single-phase photovoltaic grid-connected system is built based on MATLAB software, and islanding detection is simulated for the two detection schemes. The islanding effect under different conditions is detected by adjusting the parameter settings such as load. Comparing the simulation results before and after the improvement, it is proved that the detection efficiency of the improved scheme is higher.

About this research paper

What this paper is about

The islanding effect is one of the main problems caused by photovoltaic grid-connected power generation technology. Currently, most photovoltaic power plants use active frequency offset detection methods to detect islanding effects. Still, this method interferes with the output power quality, but its detection efficiency is greatly affected by the load. In this paper, the drawbacks of the active frequency offset detection method are improved to obtain the positive feedback operational frequency offset detection method. A simulation model of a single-phase photovoltaic grid-connected system is built based on MATLAB software, and islanding detection is simulated for the two detection schemes. The islanding effect under different conditions is detected by adjusting the parameter settings such as load. Comparing the simulation results before and after the improvement, it is proved that the detection efficiency of the improved scheme is higher.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The islanding effect is one of the main problems caused by photovoltaic grid-connected power generation technology. Currently, most photovoltaic power plants use active frequency offset detection methods to detect islanding effects. Still, this method interferes with the output power quality, but its detection efficiency is greatly affected by the load. In this paper, the drawbacks of the active frequency offset detection method are improved to obtain the positive feedback operational frequency offset detection method. A simulation model of a single-phase photovoltaic grid-connected system is built based on MATLAB software, and islanding detection is simulated for the two detection schemes. The islanding effect under different conditions is detected by adjusting the parameter settings such as load. Comparing the simulation results before and after the improvement, it is proved that the detection efficiency of the improved scheme is higher.

Key concepts: Islanding, Photovoltaic system, Offset (computer science), MATLAB, Computer science, Grid, Electronic engineering, Frequency offset

Related papers

Back to paper searchBrowse research topicsOriginal source
Research on Detection Technology of Islanding Effect in the Photovoltaic Grid-Connected Power Generation System — Research Paper | ScholarLens