Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration

Photovoltaics (PV) are considered as one of the most promising renewable energy source for Singapore. This paper proposes an optimization strategy for a distribution grid that includes PV. The objective is to provide optimal grid operation for seamless integration of distributed generation (DG). A novel approach for grid reconfiguration considering a probabilistic statistical model for the solar irradiance is introduced. A stochastic mixed-integer second order conic programming (SMISOCP) algorithm is devised to provide an optimal radial grid topology. The objective is to reduce power losses and operational costs of the grid. Case studies of grid model with distributed PV generators are conveyed to affirm the capability to deliver the objectives.