A control method and system of a TOC-DOA-based networked energy storage converter

Abstract

The application provides a TOC-DOA-based network-constructed energy storage converter control method and system, constructs a tornado-dream collaborative optimization algorithm, embeds a virtual synchronous machine controller, and performs online multi-objective optimization on virtual inertia, damping coefficient, voltage and frequency regulation coefficient, and each oscillation mode damping compensation parameter; by introducing individual memory matrix and dynamic stage probability, the global exploration and local development proportion are adaptively adjusted; based on the optimized parameters, virtual synchronous machine control calculation is performed, and wideband oscillation identification and damping compensation are superimposed to form preliminary control instructions; in the execution process, the memory matrix is frozen through abnormal working condition detection and the constraint condition is feedback corrected, and after the abnormality is removed, the historical optimal solution is recovered and restarted. The application realizes the collaborative adaptive control of inertia support, voltage support and wideband oscillation suppression of the network-constructed energy storage converter, and significantly improves the stability and safety of the high-proportion new energy power grid.