| Title |
Analysis of Impact of Renewable Power Generation Facilities using Large-capacity Data of GPS Time Synchronization PMU |
| Authors |
김동석(Dong-Seok Kim) ; 박철원(Chul-Won Park) |
| DOI |
https://doi.org/10.5370/KIEE.2023.72.2.183 |
| Keywords |
ACF; F/R; GPS; Large-capacity data; PMU; Python; RPGs; Stable operation; WAMS |
| Abstract |
PMUs can acquire time-synchronized large-capacity data through high-speed sampling and linking with GPS, and can receive simultaneous events as unified time series data and use it for WAMS, etc. Therefore, the installation and operation of a PMU-based system that can precisely analyze instantaneous system changes that were difficult to analyze in the past is being sought for monitoring, analysis, protection and control of RPGs. In this paper, to improve the reliability and stable operation of the power grid based on renewable power generation facilities, the effect of PMU large-capacity data are analyzed. First, the large data collected from PMU and F/R installed in Hoenggye and Yeongwol S/S connected with RPGs are acquired. Based on the instantaneous voltage change rate calculation, data analysis techniques such as Boxplot, Correlation, ACF, Kernel density, and Regression were implemented using Python. Finally, the impact and effect of RPGs on the power grid were discussed. |