Ramp Event Forecast Based Wind Power Ramp Control With Energy Storage System

Abstract

Wind power ramp events have become one of the major challenges of power balance in power systems with high wind power penetration. Conventional thermal or hydro units have to be dispatched, shut down or started up more frequently to keep the balance between generation and load. This paper proposes a wind power ramp control method with energy storage system (ESS) based on wind power ramp event forecast. An optimization model is established to optimize the output power of ESS and the wind curtailment to meet a hybrid wind power ramp limit. Three types of wind power ramp scenarios are presented based on the ramp event forecast, including normal scenario, positive ramp scenarios, and negative ramp scenarios. In each scenario, the optimization model is modified with scenario switching adjustment (SSA) to reduce the capacity demand of ESS and the curtailed wind energy. While the parameters for modification are obtained by different fuzzy logic systems (FLS). Finally, the effectiveness of the proposed wind power ramp control method is verified through case studies.