Convex Relaxations of Chance Constrained AC Optimal Power Flow

High penetration of renewable energy sources and the increasing share of stochastic loads require the explicit representation of uncertainty in tools such as the optimal power flow (OPF). Current approaches follow either a linearized approach or an iterative approximation of nonlinearities. This pap...

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Veröffentlicht in:	IEEE transactions on power systems 2018-05, Vol.33 (3), p.2829-2841
Hauptverfasser:	Venzke, Andreas, Halilbasic, Lejla, Markovic, Uros, Hug, Gabriela, Chatzivasileiadis, Spyros
Format:	Artikel
Sprache:	eng
Schlagworte:	AC optimal power flow Active control Admittance chance constraints convex optimization Data buses Gaussian distribution Iterative methods Normal distribution Optimization Power flow Programming Reactive power Renewable energy sources Robustness Semidefinite programming Statistical analysis Uncertainty Voltage control
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