Hybrid Model-Based BESS Sizing and Control for Wind Energy Ramp Rate Control

This paper presents a hybrid model constituting dynamic smoothing technique and particle swarm optimization techniques to optimally size control battery energy storage systems for wind ramp rate power system frequency performance enhancement. In today’s modern system, high-proportion renewable grid is inevitable. with abundant integration of resources under the presence tools. Energy tools are integrated into such balance fluctuation intermittence sources. One requirements in fractional between generation load. set by regulators variation two time points. A producer mandated satisfy requirement owner. proposes initial determination based on optimal sizing regulation large percentage systems. Wind data taken from Zhangjiakou farm China used. The results indicate that improves characteristics farm. addition, virtual inertia capability enabled transient steady-state response test improve significantly.