A Novel Probabilistic Optimal Power Flow Model With Uncertain Wind Power Generation Described by Customized Gaussian Mixture Model

A novel probabilistic optimal power flow (P-OPF) model with chance constraints that considers the uncertainties of wind power generation (WPG) and load is proposed in this paper. An affine generation dispatch strategy is adopted to balance the system power uncertainty by several conventional generat...

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Veröffentlicht in:	IEEE transactions on sustainable energy 2016-01, Vol.7 (1), p.200-212
Hauptverfasser:	Ke, Deping, Chung, C. Y., Sun, Yuanzhang
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation methods Chance constraint Computational modeling Cost function Customizing Gaussian Gaussian mixture model Load modeling Mathematical analysis Mathematical models optimal power flow Probabilistic logic Probabilistic methods Probability density function probability density function (pdf) Probability theory Uncertainty value-at-risk Wind power generation wind power generation (WPG)
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