An Ultra-Short-Term Pre-Plan Power Curve based Smoothing Control Approach for Grid-connected Wind-Solar-Battery Hybrid Power System

Abstract

Recently, wind-solar-battery hybrid power generation has become one of the most popular methods to tackle the grid integrating problem of wind and solar power. A novel ultra-short-term pre-plane power curve based smoothing control approach is proposed for grid-connected wind-solar-battery hybrid power system (WSBHPS). A pre-plan power curve based scheduling module, which takes the grid limitation of maximum powers fluctuation, maximizing wind and solar power utilization and reducing use of battery energy storage system(BESS) as objectives, is designed according to ultra-short-term prediction information of wind and solar power and state of charging (SOC) of BESS. A real-time power fluctuation compensation module is designed based on weighted moving average filtering algorithm to smooth power fluctuation in real time. The results of simulation experiments show that the proposed approach could not only reduce the use of BESS, but also has better smoothing effectiveness compared with traditional low filter based smoothing control approach.