| Title |
Analysis of the Impact of Distributed Power Connected to the Low Voltage Distribution Network on Customer Voltage Management |
| Authors |
이해성(Hae-Sung Lee) ; 임한민(Han-Min Lim) ; 이병성(Byung-Sung Lee) ; 김동섭(Dong-Sub Kim) |
| DOI |
https://doi.org/10.5370/KIEE.2024.73.2.263 |
| Keywords |
Intelligence electric distribution grid; Big data; Machine learning; Distribution asset condition prediction model |
| Abstract |
Voltage control has become more complex as distributed energy resources or electrical vehicles increase, but voltage control is essential to continuously increase the amount of power distribution lines connected to distributed energy resources. In this paper, we perform voltage measurement data analysis through AMI(Advanced Metering Infrastructure) to prevent voltage quality degradation due to connections of distributed energy resources through appropriate voltage control and to find ways to maintain a certain level of voltage quality. Through the analysis, it is possible to identify the correlation and voltage level of voltage changes due to the connection of distributed energy resources. Because OLTC(On Load Tap Changer) enables voltage regulation and phase shifting by varying the transformer ratio under load without interruption, OLTC is a representative voltage control method.
Therefore, we attempt to understand the effect of applying OLTC which are representative voltage control method and the voltage quality management effect of distributed energy resource connection lines through the analysis of voltage volatility correlation for distributed energy resources. In addition, we attempt to find an appropriate control method to maintain the voltage quality of distribution lines connected to distributed energy resources. |