A Study on the Analysis of Correlation Decay Distance(CoDecDist) Model for Enhancing Spatial Prediction Outputs of Spatially Distributed Wind Farms

풍력발전출력의 공간예측 향상을 위한 상관관계감소거리(CoDecDist) 모형 분석에 관한 연구

  • Received : 2015.05.26
  • Accepted : 2015.06.22
  • Published : 2015.07.30


As wind farm outputs depend on natural wind resources that vary over space and time, spatial correlation analysis is needed to estimate power outputs of wind generation resources. As a result, geographic information such as latitude and longitude plays a key role to estimate power outputs of spatially distributed wind farms. In this paper, we introduce spatial correlation analysis to estimate the power outputs produced by wind farms that are geographically distributed. We present spatial correlation analysis of empirical power output data for the JEJU Island and ERCOT ISO (Texas) wind farms and propose the Correlation Decay Distance (CoDecDist) model based on geographic correlation analysis to enhance the estimation of wind power outputs.


Spatial Correlation Analysis;Wind Generation Resources;Correlation Decay Distance Model


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Supported by : 기초전력연구원