A Study on the Measurement Data Estimation of Photovoltaic Power Generation Using Regression Analysis

As the proportion of renewable energy increases, the instability of the power system is growing due to volatility of photovoltaic and wind power caused by weather and environmental conditions. Accordingly, the necessity to monitor renewable energy generation in real-time and manage power supply and demand to secure grid stability is increasing. This paper introduces a renewable energy data integration platform that collects and manages real-time power generation data from renewable energy generators nationwide in 1-minute resolution, and presents research on a technique to generate 1-minute resolution measured data using 1-hour resolution metering data collected during missing periods, based on a regression analysis technique when real-time power generation data is missing due to communication errors, etc.