Robust Evaluating Approach of Distributed Photovoltaic Hosting Capacity in Uncertain Environment

Large scale distributed photovoltaic(DPV) integration will bring new challenges to dispatching due to its uncertainty, and further increase the regulating capacity requirement of power system. As a result, a robust evaluating approach of DPV hosting capacity in uncertain environment is proposed. Based on the relationship between DPV hosting capacity and its conditional value at risk(CVaR), a robust optimization model is constructed, which considering the probability distribution characteristics of DPV. The base point and regulating capacity of automatic generation control(AGC) units are coordinated optimized to accurately evaluate the DPV hosting capacity The original model is transformed into a deterministic linear programming problem using piecewise linear approximation and uncertain variables eliminating. The effectiveness of the proposed approach is verified through a 6-bus system.