  This paper investigates the combination of two model predictive control
concepts, sequential model predictive control and long-horizon model predictive
control for power electronics. To achieve sequential model predictive control,
the optimization problem is split into two subproblems: The first one
summarizes all control goals which linearly depend on the system inputs.
Sequential model predictive control generally requires to obtain more than one
solution for the first subproblem. Due to the mixed-integer nature of finite
control set model predictive control power electronics a special sphere decoder
is therefore proposed within the paper. The second subproblem consists of all
those control goals which depend nonlinearly on the system inputs and is solved
by an exhaustive search. The effectiveness of the proposed method is validated
via numerical simulations at different scenarios on a three-level neutral point
clamped permanent magnet synchronous generator wind turbine system and compared
to otherlong-horizon model predictive control methods
