Abstract:
A new adaptive switched model predictive control
(MPC) strategy is designed in this paper for energy dispatching of
a photovoltaic-diesel-battery (PDB) hybrid power system, where
the battery is unpermitted to charge and discharge simultaneously.
The distinguishing feature of the proposed switchedMPC is
that, new switched constraints are constructed to describe the different
modes (charging and discharging) of the battery, such that
the burden of using a switched multiple-input-multiple-output
(MIMO) state-space model could be circumvented. Parameters
of the battery are unknown constants, and are estimated online
with an adaptive updating law. In the switched MPC algorithm,
predictive horizon and control horizon vary according to the
predefined switching schedule. Based on optimization with the
switched constraints, receding horizon control is utilized to obtain
the dispatching strategy for the hybrid power system. Performances
of the closed-loop system with the proposed switched
MPC are verified by simulation results.
