Short-term frequency regulation of power systems based on DFIG wind generation

Short-term frequency regulation is important for the safety and efficiency of power systems based on wind generation units. However, unmodeled dynamics stochastic disturbances in speed load present a challenge regulation. This paper offers scheme that caters doubly fed induction generator-based units requiring short-term To this end, data-driven additive controller cast into framework. Since survival information potential (SIP) random variable has some advantages over potential, SIP deviation presented order to simultaneously evaluate droop control inertial control. Thereafter, optimal coefficient can be obtained using particle swarm optimization technique an arithmetic mean filter. Finally, simulation results demonstrate effectiveness proposed approach traditional strategies.