Intelligent Cloud Model-Based Frequency Support Control Strategy for Wind Generators

This paper proposes a virtual inertia adaptive control strategy based on an intelligent cloud model to enhance the frequency support capability of wind generators. By using grid-side frequency variations and their rates of change as inputs, the cloud inference rules for virtual inertia were designed based on the relationship between virtual inertia and grid-side frequency variations and their rates of change. The cloud model was used to achieve coordinated adaptive adjustment of virtual inertia parameters, allowing the system to adaptively adjust virtual inertia when subjected to external disturbances, thus ensuring stable operation of the system.