Managing uncertainty and variability in power injections has become a major concern for system operators due to increasing levels of fluctuating renewable energy connected the grid. This work addresses this via joint chance-constrained formulation DC optimal flow (OPF) problem, which satisfies all constraints jointly with pre-determined probability. The few existing approaches solving OPF probl...

This paper proposes a quasi-optimal power flow (OPF) algorithm for flexible DC traction systems (TPSs). Near-optimal OPF solutions can be solved with high computational efficiency by quasi-OPF. Unlike conventional algorithms, quasi-OPF does not utilize mathematical optimization algorithms but adopts new methodology. First, we adopt modeling method and successfully reveal the physical meaning of...

Although distribution grid customers are obliged to share their consumption data with system operators (DSOs), a possible leakage of this is often disregarded in operational routines DSOs. This paper introduces privacy-preserving optimal power flow (OPF) mechanism for grids that secures customer privacy from unauthorised access OPF solutions, e.g., current and voltage measurements. The based on...