This paper presents a time efficient finite-control-set model predictive control (FCS-MPC) scheme for the doubly fed induction generator system. In this scheme, the switching states of the rotor side converter are directly taken as control inputs. This way, the optimized control action can be directly applied to the converter. Compared with the existing FCS-MPC approaches, the salient feature of the proposed scheme is the reduction of the computation time. By introducing a set of augmented decision variables, the original intractable binary quadratic programming problem in FCS-MPC can be analytically transformed to a binary linear programming problem, which can be solved efficiently. By this means, the computation time of the proposed scheme is much less than that of the existing schemes. This reduction in computation time enables FCS-MPC with longer prediction horizons, thus yielding better control performance.

中文翻译：

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双馈风力发电机的有限控制集模型预测控制


本文提出了一种用于双馈感应发电机系统的时间高效的有限控制集模型预测控制（FCS-MPC）方案。在该方案中，转子侧变流器的开关状态直接作为控制输入。这样，优化的控制动作可以直接应用于转换器。与现有的FCS-MPC方法相比，该方案的显着特点是减少了计算时间。通过引入一组增强的决策变量，FCS-MPC中原来棘手的二元二次规划问题可以解析地转化为二元线性规划问题，从而可以有效地求解。通过这种方式，所提出的方案的计算时间比现有方案少得多。计算时间的减少使得 FCS-MPC 具有更长的预测范围，从而产生更好的控制性能。