Photovoltaic (PV) generation always exhibits strong uncertainty and variability; therefore, its excessive integration brings huge risks to the safe operation of power systems. In this letter, a two-stage robust optimization approach based on decision-dependent uncertainty is devised to identify the PV hosting capacity that can be accepted to ensure the effective consumption of PV generation under uncertainty. The proposed approach is validated by numerical experiments for a microgrid and a distribution network.