Analysis of the Impact of Distributed Power Connected to the Low Voltage Distribution Network on Customer Voltage Management

被引:0
|
作者
Lee H.-S. [2 ]
Lim H.-M. [2 ]
Lee B.-S. [2 ]
Kim D.-S. [1 ]
机构
[1] Dept. of Electrical and Electronic Engineering, National Mokpo University
[2] Power Distribution System Laboratory, KEPCO Research Institute
关键词
Big data; Distribution asset condition prediction model; Intelligence electric distribution grid; Machine learning;
D O I
10.5370/KIEE.2024.73.2.263
中图分类号
学科分类号
摘要
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. Copyright © The Korean Institute of Electrical Engineers.
引用
收藏
页码:263 / 270
页数:7
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