Multiobjective adaptive predictive virtual synchronous generator control strategy for grid stability and renewable integration.

ABSTRACT: A novel Adaptive Predictive Virtual Synchronous Generator (AP-VSG) control strategy is proposed for enhanced grid stability and seamless renewable energy integration. The method introduces adaptive inertia and damping mechanisms combined with multi-objective predictive optimization, specifically designed for parallel-connected Self-Excited Induction Generators (SEIGs). Unlike conventional approaches requiring multiple DC conversion stages, the proposed system implements parallel operation directly in the AC domain, reducing system complexity and conversion losses. The AP-VSG control incorporates a real-time adaptation of virtual inertia (H) ranging from 1 to 4 s and damping coefficient (D) from 20 to 65 pu, responding to grid frequency deviations and Rate of Change of Frequency (RoCoF). Ex

SUBMITTER: Rajak MK 

PROVIDER: S-EPMC11920424 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature