01507nas a2200205   4500000000100000008004100001653001300042653001600055653002000071653002700091100002000118700001700138700001400155245007300169856007200242300001000314490000800324520095500332022001401287       2014                            d10aSolar PV10aRamp events10aEmpirical model10aShort-term variability1 aBishal Mazumdar1 aMohd. Saquib1 aAbhik Das00aAn empirical model for ramp analysis of utility-scale solar PV power  uhttps://www.sciencedirect.com/science/article/pii/S0038092X14002564  a44-490 v1073 aShort-term variability in the power generated by utility-scale solar photovoltaic (PV) plants is a cause for concern for power system operators. Without quantitative insights into such variability, system operators will have difficulty in exploiting grid integrated solar power without negatively impacting power quality and grid reliability. In this paper, we describe a statistical method to empirically model the ramping behavior of utility-scale solar PV power output for short time-scales. The general validity of the model is confirmed through the analysis of power output data from a MW-scale solar PV plant located in the state of Karnataka, India. The empirical parameters of the model are investigated for different time-intervals and solar datasets. The proposed model is able to satisfactorily approximate the actual distribution of PV ramp events and can be an effective tool in smartly planning additional resources for PV ramp control.  a0038-092X