Intelligent control of a grid-connected wind-photovoltaic hybrid power systems
A grid-connected wind-PV power system is proposed, and the steady-state model analysis. An on-line training RBFNSM is designed to extract maximum power from the wind. The PV system uses GRNN to control the boost converters to achieve the MPPT. The GRNN and RBFNSM methods can quickly and accurately track the maximum output power.
hybrid power system photovoltaic (pv) wind turbine radial basis function network-sliding model (rbfnsm) general regression neural network (grnn) maximum power point tracking (mppt)