首页> 外文期刊>Renewable Power Generation, IET >Modelling and robust control design of a standalone wind-based energy storage generation unit powering an induction motor-variable-displacement pressure-compensated pump
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Modelling and robust control design of a standalone wind-based energy storage generation unit powering an induction motor-variable-displacement pressure-compensated pump

机译:独立的风能储能发电机组的建模和鲁棒控制设计,为感应电动机可变排量压力补偿泵提供动力

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摘要

This study investigates the application of the sliding mode controller (SMC) for induction motor drive variable-displacement pressure-compensated pump (VDPC) system powered by an isolated wind/storage unit. The variable-speed wind turbine (WT) is proposed to drive a permanent magnet synchronous generator (PMSG) which, feeds a storing energy unit and stand-alone dynamic load. Energy storage systems are required for power balance quality in isolated wind power systems. Initially, the holistic model of the entire system is achieved, including the PMSG, the uncontrolled rectifier, the buck converter, the storage system, induction machine and the VDPC pump. The power absorbed by the connected loads can be effectively delivered and supplied by the proposed WT and energy storage systems, subject to sliding mode control. The main purposes are to supply 220 V/50 Hz through a three-phase inverter and adjust the IM speed and VDPC pump flow rate. The performance of the proposed system is compared with the neural network control and the conventional PID control. The simulation results show that the proposed system with the SMC and neural network controllers has good performance and good prediction of the electrical parameter waveforms compared with the case of the conventional PID controller.
机译:这项研究调查了滑模控制器(SMC)在由隔离式储风装置驱动的感应电动机驱动的可变排量压力补偿泵(VDPC)系统中的应用。提出了变速风力涡轮机(WT),以驱动永磁同步发电机(PMSG),该永磁同步发电机为储能单元和独立的动态负载供电。隔离式风力发电系统中需要使用能量存储系统来保证功率平衡。最初,获得了整个系统的整体模型,包括PMSG,不受控制的整流器,降压转换器,存储系统,感应电机和VDPC泵。所建议的WT和储能系统可以在滑模控制下有效地传递和提供连接负载吸收的功率。主要目的是通过三相逆变器提供220 V / 50 Hz的电压,并调整IM速度和VDPC泵的流量。将该系统的性能与神经网络控制和常规PID控制进行了比较。仿真结果表明,与传统的PID控制器相比,该系统具有SMC和神经网络控制器,具有良好的性能和对电参数波形的良好预测。

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