研究目的
To analyze the characteristics of photovoltaic and wind power ramps in South Korea to form the basis of backup installed capacity and reserve calculation.
研究成果
The logistic distribution among 14 distribution forms best represented the ramp ratios of photovoltaic and wind power generation, but the p-value was lower than the significance level, and we could not conclude that the data definitely followed the logistic distribution. Further studies are necessary.
研究不足
The study analyzed the power generation ramp nationwide for a year, but further studies are necessary to study regional ramp patterns and obtain the most suitable probability distribution for ramps based on power generation data of a longer period.
1：Experimental Design and Method Selection:
Analyzed a ramp using 1 hour power generation data. Basic statistical analysis on ramps was performed, and normality of the ramps in the nine regions of South Korea was tested. For non-normal distributions, the appropriate distribution among 14 distributions was identified based on p-values and statistical values of Anderson-Darling test and likelihood ratio test (LRT).
2：Sample Selection and Data Sources:
Power generation data from photovoltaic and wind power stations in South Korea.
3：List of Experimental Equipment and Materials:
Not specified.
4：Experimental Procedures and Operational Workflow:
Not specified.
5：Data Analysis Methods:
Basic statistical analysis, normality test, Anderson-Darling test, and likelihood ratio test (LRT).
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