中文摘要：

随着大量风电场接入电网,风力发电机组的运行和控制技术受到了广泛关注。为改善双馈风力发电机的控制性能,提出了基于状态空间的双馈风力发电机模型预测控制方法。通过建立双馈风力发电机的状态空间表达式,并将其用于预测双馈风力发电机的状态轨迹,将控制性能和控制代价作为目标函数,推导得到其控制策略解析表达式,降低了模控制型预测控制的计算成本。在New England 39节点系统中对该策略进行验证,仿真和计算结果表明,由于通过模型误差反馈可以降低设计模型误差对控制性能的影响,因此即便在模型失配的情况下,基于状态空间的模型预测控制也能够有效改善双馈风力发电机的控制性能。

英文摘要：

With growing integration of wind power into power grids, operation and control of wind power generating unit attracts increasing concern. In order to improve control performance of doubly-fed induction generator, its state space based model prediction control（SSMPC） method is proposed in this paper. The state space model of doubly-fed induction generator is studied and used to predict its response trajectory. Both control performance and control cost are considered for SSMPC design. In order to realize tractability of online control variable computation, analytic expression of the control variables is deduced. To illustrate effectiveness of the proposed method, simulations on New England 39-bus power system are studied. Simulation results show that the state space based model prediction control has positive effect on control performance of doubly-fed induction generator, because model error feedback is introduced to ensure prediction accuracy and decrease impact of model error on control performance.