A distributionally robust chance-constrained approach for distributed generation hosting capacity evaluation considering soft open points

The wide integration of distributed generation (DG) imposes a huge influence on distribution network (DN) and even leads to the risk of thermal overload and voltage violation. Therefore, it is significant to evaluate DG hosting capacity and judge the feasibility of all DG integrated requests. First, this paper proposes the definition of robust location for DG hosting capacity, especially when soft open points (SOPs) and distribution network reconfiguration are considered. All DG integrated requests are allowable if the sum of them do not exceed DG hosting capacity in robust location. Then, a Wasserstein distributionally robust optimization (WDRO) model with chance constraint is formulated to evaluate DG hosting capacity in DN with SOPs. Meanwhile, a systematic solution procedure is developed for the proposed nonlinear optimization model. Numerical results authenticate the effectiveness of WDRO with chance constraint and effects of SOPs and network reconfiguration to improve DG hosting capacity.