Probabilistic Load Flow Based on Generalized Polynomial Chaos

Probabilistic Load Flow Based on Generalized Polynomial Chaos

An analytical method based on generalized polynomial chaos (gPC) is proposed for probabilistic load flow (PLF). The method preserves the nonlinearity of power flow equations whose rectangular formulations are adopted to facilitate the gPC expansion. The feasibility of the method is demonstrated by c...

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Veröffentlicht in:IEEE transactions on power systems 2017-01, Vol.32 (1), p.820-821
Hauptverfasser: Wu, Hao, Zhou, Yongzhi, Dong, Shufeng, Song, Yonghua
Format: Artikel
Sprache:eng
Schlagworte:
Chaos
Flow equations
Galerkin method
generalized polynomial chaos
Load flow
Mathematical analysis
Mathematical model
orthogonal polynomials
Polynomials
Power flow
Power system dynamics
Probabilistic load flow
Probabilistic logic
Random variables
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Zusammenfassung:An analytical method based on generalized polynomial chaos (gPC) is proposed for probabilistic load flow (PLF). The method preserves the nonlinearity of power flow equations whose rectangular formulations are adopted to facilitate the gPC expansion. The feasibility of the method is demonstrated by case studies from a 9-bus system.
ISSN:0885-8950
1558-0679
DOI:10.1109/TPWRS.2016.2543143