Distributionally Robust Chance Constrained Optimization for Providing Flexibility in an Active Distribution Network

In this paper, we propose a distributionally robust chance constrained (DRCC) optimization problem for the operation of an active distribution network (ADN). The ADN’s operator uses proposed to centrally optimize dispatch plan his resources, namely photovoltaic (PV) and battery energy storage (BES) systems, participate in wholesale real/reactive power flexibility markets. We model uncertainties by knowing set probability distributions, i.e., an ambiguity set . include production capability PV end-users’ consumption, requested external network’s operator, voltage magnitude at point common coupling (PCC). resulting formulation is DRCC which solution methodology based on freely available solvers presented. evaluate performance numerical results section comparing it with two benchmark models stochastic (CC) optimization.