A truncated Gaussian mixture model for distributions of wind power ramping features

Abstract

Wind power ramps (WPRs) are significantly impacting the power balance of the system operations. Better understanding the statistical characteristics of ramping features would help power system operators better manage these extreme events. Toward this end, this paper develops an analytical truncated Gaussian mixture model (TGMM) to fit the probability… (More)

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