An optimal scheduling model for new energy power systems considering wind turbine inertia support and active power reserve

Abstract

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 considering 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 optimization 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 curtailment of wind and solar power.

Keywords

• inertia support
• derating operation
• active reserve
• stochastic robust optimization
• ccg algorithm