Robust dispatch with power flow routing and renewables

The uncertainty and variability of renewable energy sources are challenging problems in the operation of power systems. In this paper, we focus on the robust dispatch of generators to overcome the uncertainty of renewable power predictions. The energy management costs of supply, spinning reserve, and power losses, are jointly optimized by the proposed robust optimal power flow (OPF) method with a column-And-constraint generation algorithm. Conic relaxation is applied to the non-convex alternating-current power flow regions with the phase angle constraints for loops retained by linear approximation. The proposed method allows us to solve the robust OPF problem efficiently with good accuracy and to incorporate power flow controllers and routers into the OPF framework. Numerical results on the IEEE Reliability Test System show the efficacy of our robust dispatch strategy in guaranteeing immunity against uncertain renewable generation, as well as in reducing the energy management costs through power flow routing. © 2015 IEEE.postprin