First optimization models regarding optimal dispatch of generation resources considering static and dynamic security of the network are reviewed. Given the difficulty to solve non-linear optimization problems with discrete variables, the decoupling of the active and reactive powers issues is proposed. The two resulting problems interact iteratively. A Security Verification (SV) problem is solved to identify the generation deployment in terms of real power constraints: branch flow security constraints, primary/secondary frequency control constraints to correctly identify required regulation bands and minimum inertia are here considered. The proposed linearized models are validated against real grid behavior on representative test networks. The SV solution is given to AC OPF, to optimally deploy reactive power resources.
OPF model with dynamic security constraints: A state of the art review
Bovo C.;
2021-01-01
Abstract
First optimization models regarding optimal dispatch of generation resources considering static and dynamic security of the network are reviewed. Given the difficulty to solve non-linear optimization problems with discrete variables, the decoupling of the active and reactive powers issues is proposed. The two resulting problems interact iteratively. A Security Verification (SV) problem is solved to identify the generation deployment in terms of real power constraints: branch flow security constraints, primary/secondary frequency control constraints to correctly identify required regulation bands and minimum inertia are here considered. The proposed linearized models are validated against real grid behavior on representative test networks. The SV solution is given to AC OPF, to optimally deploy reactive power resources.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
