A New Solution for Stochastic Optimal Power Flow: Combining Limit Relaxation with Iterative Learning Control

A stochastic optimal power flow (S-OPF) model considering uncertainties of load and wind power is developed based on chance constrained programming (CCP). The difficulties in solving the model are the nonlinearity and probabilistic constraints. In this paper, a limit relaxation approach and an itera...

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Veröffentlicht in:	Journal of electrical engineering & technology 2014, Vol.9 (1), p.80-89
Hauptverfasser:	Gong, Jinxia, Xie, Da, Jiang, Chuanwen, Zhang, Yanchi
Format:	Artikel
Sprache:	kor
Online-Zugang:	Volltext
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