Chance-Constrained OPF in Droop-Controlled Microgrids With Power Flow Routers

High penetration of renewable generation poses challenges to power system operation due its uncertain nature. In droop-controlled microgrids, the voltage volatility induced by uncertainties is aggravated high droop gains. This paper proposes a chance-constrained optimal flow (CC-OPF) problem with routers (PFRs) better regulate profile in microgrids. PFR refers general type network-side controller that brings more flexibility network. Comparing normal CC-OPF relies on node only, proposed model introduces new dimension control from network enhance performance under uncertainties. Adopting partial linearization method and an iterative algorithm allows us address iteratively solving subproblem. Since inclusion PFRs complicates subproblem makes common solvers no longer applicable directly, semidefinite programming relaxation used transform each into convex form. The verified modified IEEE 33-bus results show significantly reduce standard deviations magnitudes contribute mitigating volatility, which operate economic secure way.