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최영도,백자현,전동훈,박상호,최순호,김여진,허진,Choy, Youngdo,Baek, Jahyun,Jeon, Dong-Hoon,Park, Sang-Ho,Choi, Soonho,Kim, Yeojin,Hur, Jin 한국전력공사 2019 KEPCO Journal on electric power and energy Vol.5 No.3
In order to integrate large amounts of variable generation resources such as wind and solar reliably into power grids, accurate renewable energy forecasting is necessary. Since renewable energy generation output is heavily influenced by environmental variables, accurate forecasting of power generation requires meteorological data at the point where the plant is located. Therefore, a spatial approach is required to predict the meteorological variables at the interesting points. In this paper, we propose the meteorological variable prediction model for enhancing renewable generation output forecasting model. The proposed model is implemented by three geostatistical techniques: Ordinary kriging, Universal kriging and Co-kriging.
최영도,정솔영,박범준,허진,박상호,윤기갑,Choy, Youngdo,Jung, Solyoung,Park, Beomjun,Hur, Jin,Park, Sang ho,Yoon, Gi gab 한국전력공사 2016 KEPCO Journal on electric power and energy Vol.2 No.4
Recently, the size of wind farms is becoming larger, and the integration of high wind generation resources into power gird is becoming more important. Due to intermittency of wind generating resources, it is an essential to predict power outputs. In this paper, we introduce the basic concept of curvilinear regression, which is one of the method of wind power prediction. The empirical data, wind farm power output in Jeju Island, is considered to verify the proposed prediction model.
최영도,백자현,김태균,전동훈,윤기갑,박상호,구보경,허진,Choy, Youngdo,Baek, Ja-hyun,Kim, Taekyun,Jeon, Dong-hoon,Yoon, Gi-gab,Park, Sang-Ho,Goo, Bokyung,Hur, Jin 한국전력공사 2018 KEPCO Journal on electric power and energy Vol.4 No.1
According to the recent blackouts, large blackouts can be described by cascading outages. Cascading outage is defined by sequential outages from an initial disturbance. Sequential and probabilistic approach are necessary to minimize the blackout damage caused by cascading outages. In addition, conventional cascading outage analysis models are computationally complex and have time constraints, it is necessary to develop the new analytical techniques. In this paper, we propose the advance visualization model for probabilistic analysis of cascading failure risks. We introduce the visualization model for identifying size of cascading and potential outages and estimate the propagation rate of sequential outage simulation. The proposed model is applied to Korean power systems.