Hybrid Predictive Control of Wind-Solar Electric Generator using Hybrid Modeling of DC-DC Converters via Mixed Logical Dynamical Systems

Due to nonlinearity and unpredictable nature of atmosphere, like variable wind speed and solar radiation, it’s essential to improve more accurate and efficient control strategies for Wind-Solar generators. This paper concentrates on a hybrid predictive control for wind-solar generation system. In the Latest works on the supervisory control methods, converters have been considered ideal . However, in real conditions , these converters have also their particular limitations, problems and dynamics. So the dynamics of converters and designing proper controller are also important. This paper, particularly, has proposed the hybrid modelling of local converter of subsystem . For this purpose, hybrid description of DC/DC converters in MLD format is used and Boundary conditions of continuous and discrete current states are formulated. So converter’s operating mode is determined, based on these Boundary conditions and critical output values. Finally, simulation results shows necessity and accuracy of the idea

کلیدواژه ها:

hybrid systems ، Wind and Solar Generation system ، Supervisory Control ، Generalized Predictive Control