| Title |
Correlation Analysis of Wind and Solar Power Generation Pattern for Modeling of Renewable Energy |
| Authors |
김민정(Kim, Min-Jeong) ; 박영식(Park, Young-Sik) ; 박종배(Park, Jong-Bae) ; 노재형(Roh, Jae-Hyung) |
| DOI |
https://doi.org/10.5370/KIEE.2011.60.10.1823 |
| Keywords |
Renewable energy ; Production simulation ; Correlation analysis |
| Abstract |
When the RPS(Renewable Portfolio Standards) becomes effective in 2012, the use of renewable energy will be dramatically increased. However, there are no production simulations and demand supply programs that reflect the characteristics of the renewable energy. This paper analyzes correlations of the domestic wind power and solar power generation pattern in different areas and those of these sources' output and load pattern. Based on the regional correlation analysis, an appropriate method that uses a average output of the renewable energy or another modeling that takes account of uncertainty could be selected. Because it's output is dependent on weather condition, we can not control the generation of renewable energy, that is the reason why the correlation between the load and output pattern of sources can be helpful to determine whether the renewable energy is modeled as a generator or load modifier. Through this analysis, a basis will be provided in order to properly model the renewable energy source. |