抄録
Power output fluctuation of high penetration renewable energy such as photovoltaic power generation (PV) may cause negative impact on electric power systems. Accordingly, quantitative analysis of the fluctuation characteristics in consideration of smoothing effect of solar radiation intensity is necessary to accurately evaluate the negative impact. Based on this background, first, we propose a method for a systematic analysis of the power output fluctuation characteristics over various weather conditions by using long-term measurement data. We classify the daily weather into three categories based on the proposed method by using solar radiation intensity data obtained from pyranometers installed in Sakai Solar Power Plant for one year from January to December 2012. Secondly, we propose a method to quantitatively analyze the impact of PV distribution on the smoothing effect, and we quantitatively analyze the smoothing effect in each category of the daily weather by using power output data sampled from power conditioning subsystems (PCS) concurrently observed with the pyranometer data. Our results demonstrate strong dependency of the smoothing effect to the weather conditions and the PV distribution.
