Hagkwen Kim

TL;DR: In this paper, the wake effect is explicitly incorporated in the reliability evaluation of a wind farm and the energy loss resulting from this effect is included in calculating the reliability indices, and three models for wake effect are discussed and the Jensen model is used in this research.

TL;DR: In this paper, the authors describe how aging characteristics of components may impact the calculation of commonly used reliability indices such as loss of load expectation (LOLE), and construct the system failure and repair history of components, sequential Monte Carlo simulation method using stochastic point process modeling is introduced.

TL;DR: In this article, the authors focused on aging effects in composite power system reliability evaluation and calculated the Loss of Load Expectation (LOLE) with the IEEE Reliability Test Systems.

TL;DR: In this paper, the authors present an efficient three dimensional clustering methodology for reliability evaluation of wind farms using wind data from National Climatic Data Center, and load from IEEE Reliability Test Systems.

TL;DR: Kim et al. as mentioned in this paper described how aging characteristics of a power system may impact the calculation of commonly used quantitative reliability indices such as Loss of Load Expectation (LOLE), loss of Load Duration (LOLD), and Expected Energy Not Supplied (EENS).