Maximum Versoria Criterion based Control for Grid Tied DFIG-SPV Array-BES System

As the integration of heterogeneous renewable energy sources with grid poses significant challenges due to resource intermittency, nonlinear loads, and stringent power quality requirements. This paper presents a hybrid system comprising a doubly-fed induction generator (DFIG) based wind energy conversion system, a solar photovoltaic (SPV) array, and a battery energy storage system (BES) coordinated through a novel Maximum Versoria Criterion–based Adaptive Filter (MVCAF). Control framework enables harmonics mitigation, seamless power sharing, and reliable grid current regulation under dynamic operating conditions. Unlike conventional adaptive approaches such as least mean square (LMS), normalised LMS (NLMS), logarithmic hyperbolic cosine adaptive filter (LHCAF), and logistic distance metric adaptive filter (LDMAF), proposed MVCAF demonstrates faster convergence, lower steady-state error, and enhanced immunity to impulsive disturbances. To evaluate real-world performance, 24-hour averaged wind and solar data from Saurashtra region of India, obtained from national institute of wind energy (NIWE), national solar Radiation database (NSRDB), and national aeronautics and space administration (NASA) power repositories, are employed. Simulation studies confirm that MVCAF maintains total harmonic distortion (THD) of grid current at 1.2%, within IEEE-519 standards, even under unbalanced nonlinear loads. Experimental validation using a laboratory prototype further corroborates effectiveness of proposed scheme in achieving stable DC-link voltage, reliable BES operation through SoC-governed bi-directional control, and high-quality current injection. Results establish MVCAF as a scalable and practical solution for hybrid renewable integration in modern power system with high renewable penetration.