Chimp Optimized Correntropy inspired variable step-size sign algorithm based VSC control of grid-tied PV-battery storage System

The paper presents a three-phase three-wire grid-tied PV battery system utilizing a chimp optimization algorithm (ChOA) for the performance enhancement of the voltage source converter (VSC) control. The VSC is controlled by a correntropy inspired variable step-size sign (CIVSSS) filter based adaptive algorithm. The ChOA delivers the optimized PI controller gains for DC link voltage regulation and generates an accurate loss component of current that further improves the VSC performance in fundamental load current component extraction, stability enhancement and reduction of overall losses. The VSC performs multi-functional operations, i.e., reactive power management, power quality elevation, active power, load and grid voltage balancing at the common coupling point. The functioning of the system was found satisfactory during various dynamic conditions as per IEEE519 standards.