In light of safety concerns steming from low system inertia and insufficient frequency regulation reserve in large-scale integration of renewable energy sources,an optimal scheduling model for new energy power systems con-sidering wind turbine inertia support and active power reserve is proposed.Firstly,a wind turbine inertia model is established to account for real-time wind speed and its contribution to system inertia support response along with a model for the active power reserve under curtailed wind turbine output.Then,a two-stage stochastic robust optimiza-tion scheduling model is constructed.To minimize total operating costs,column-and-constraint generation(CCG)algorithm is employed to solve the model.Finally,the model is applied to analyze an enhanced IEEE-RTS 24-node system as a case study.The results demonstrate that the proposed model significantly reduces overall costs and cur-tailment of wind and solar power.
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