基于模型预测控制方法的风电直流微网集散控制

设计了一个基于模型预测控制器的风电直流微网集散控制系统。为满足系统经济运行及高质量电能的要求,采用模型预测控制器作为其集散控制体系架构中的主控制单元,以产生本地控制器参考信号。为规避该分层控制结构中通信故障对系统稳定性的影响,本地控制器采用双冗余参考信号,正常运行时,接受模型预测主控制器的参考信号,一旦通信失败,本地控制器迅速切换至电压分层控制策略产生的参考信号。如此,既能够保证正常运行时系统高效运行及对电能质量的要求,又能在故障时保证系统不失稳。基于Matlab仿真平台对所提风电直流微网集散控制系统的有效性进行了仿真分析。仿真结果表明,所提风电直流微网集散控制系统在采用模型预测主控制器时,能够满足系统设计目标,实现联网或孤岛状态下对系统功率灵活、高效地调节;在系统通信故障时,通过控制器切换,能够保障系统稳定、安全运行。

Model Predictive Controller-Based Distributed Control of Wind Turbine DC Microgrid

In this paper, a model predictive controller-based distributed control system of wind power DC microgrid is designed. To meet the requirements of economic operation and high quality electric power of the system and, model predictive controller is utilized as the main control unit of the distributed control architecture to generate reference signals for local controller. To avoid the negative impact of the hierarchical control structure in case of communication failure on the system stability, dual redundant reference signals are used by local controller. During normal operation, reference signals from model predictive controller are accepted by local controller, once communication failure occurs, the redundant reference signals from voltage hierarchical control can be switched fast enough. In this case, the system can ensure not only efficient operation and requirements of power quality during normal operation, but also system stability during during failure. To verify the effectiveness of the proposed model predictive controller-based distributed control system of wind power DC microgrid, simulations are conducted on Matlab with results showing that the design objective is fulfilled in both grid-connected and islanded state with efficient and flexible operation during normal operation using the proposed model predictive controller and stable and safe operation in case of communication failure switching voltage hierarchical controller.