This paper examines the acceptability of two variability metrics, i.e., universal variability index (UVI) and natural variability index (NVI) for quantifying the variation of solar irradiance and PV power output under multiple timescales. Statistical characterization of irradiance ramp rate is investigated using high resolution irradiance measurement data of a PV plant over a considerably long period. The impact of solar irradiance and PV power variability on the tap change operations of step voltage regulators (SVR) is also analyzed. It demonstrates both UVI and NVI can be used as quantitative metrics for irradiance variation. A strong linear relationship is observed between UVI and NVI of irradiance ramp rate. Compared with UVI, NVI is mo...
A major operational challenge of photovoltaic (PV) systems is the variability in their output power,...
Solar energy is a promising renewable resource, but the variability of solar photovoltaic (PV) power...
High penetration renewable integration studies require solar power data with high spatial and tempor...
This paper examines the acceptability of two variability metrics, i.e., universal variability index ...
Two variability metrics, i.e., universal variability index (UVI) and natural variability index (NVI)...
Variability of photovoltaic (PV) power output is a potential concern to utilities because it can lea...
The characterization of irradiance variability needs tools to describe and quantify variability at d...
This paper seeks to understand what temporal and spatial scales of variability in global horizontal ...
The ongoing world-wide increase of installed photovoltaic (PV) power attracts notice to weather-indu...
Penetration of Photovoltaic (PV) power to the grid is increasing very rapidly. Ramp rate (RR) of the...
The high share of power generation based on fluctuating renewable energy sources, especially wind an...
We propose and examine several statistical criteria for characterizing time series of solar irradian...
Due to the recent decrease in costs, solar based renewable energy technologies like photovoltaics (P...
Fight against climate change is facilitated through energy transition which entails changing the fos...
ABSTRACT Solar Global Horizontal Irradiance (GHI) fluctuates on both short (seconds to hours) and lo...
A major operational challenge of photovoltaic (PV) systems is the variability in their output power,...
Solar energy is a promising renewable resource, but the variability of solar photovoltaic (PV) power...
High penetration renewable integration studies require solar power data with high spatial and tempor...
This paper examines the acceptability of two variability metrics, i.e., universal variability index ...
Two variability metrics, i.e., universal variability index (UVI) and natural variability index (NVI)...
Variability of photovoltaic (PV) power output is a potential concern to utilities because it can lea...
The characterization of irradiance variability needs tools to describe and quantify variability at d...
This paper seeks to understand what temporal and spatial scales of variability in global horizontal ...
The ongoing world-wide increase of installed photovoltaic (PV) power attracts notice to weather-indu...
Penetration of Photovoltaic (PV) power to the grid is increasing very rapidly. Ramp rate (RR) of the...
The high share of power generation based on fluctuating renewable energy sources, especially wind an...
We propose and examine several statistical criteria for characterizing time series of solar irradian...
Due to the recent decrease in costs, solar based renewable energy technologies like photovoltaics (P...
Fight against climate change is facilitated through energy transition which entails changing the fos...
ABSTRACT Solar Global Horizontal Irradiance (GHI) fluctuates on both short (seconds to hours) and lo...
A major operational challenge of photovoltaic (PV) systems is the variability in their output power,...
Solar energy is a promising renewable resource, but the variability of solar photovoltaic (PV) power...
High penetration renewable integration studies require solar power data with high spatial and tempor...