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Performance Improvements of Induction Motor Drive Supplied by Hybrid Wind and Storage Generation System Based on Mine Blast Algorithm

机译:基于矿山爆破算法的混合风和存储生成系统提供的感应电动机驱动的性能改进

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摘要

This research investigates the performance improvements of induction motor (IM) drive supplied by a hybrid wind/battery storage system based on the optimal mine blast algorithm. This is done by using IM field-oriented speed control as an independent dynamic load and a battery as a storage power unit. To ensure the accuracy and quality of energy equilibrium in autonomous wind power systems, there is an urgent and necessary demand for battery storage units. So in principle, the overall system of the complete model is configured to be combined with an uncontrolled rectifier, a steady magnetic synchronous generator (PMSG), a buck converter, and a lead−acid battery (LAB) in addition to an induction motor. According to the imposed controller, the loads required power can be obtained effectively by the prescribed battery storage and the wind generation units. Considering the suggested vector control to adjust the induction motor velocity through a three-phase inverter, it will be obtained 220 V/50 Hz, which is the principal target of this research. Moreover, the system with the proposed optimal control is compared with the optimal control based on genetic algorithm (GA) and the classical PID control. It is, therefore, possible to conclude that the results of numerical calculations and simulations illustrate that the studied system has strong achievement and perfect predictor of the electric parameter waveforms.
机译:本研究调查了基于最优矿爆炸算法提供的混合风/电池存储系统提供的感应电动机(IM)驱动的性能改进。这是通过使用IM现场导向的速度控制来完成的,作为独立的动态负载和作为存储电源单元的电池。为确保自主风电系统中能量平衡的准确性和质量,对电池存储单元进行紧急和必要的需求。因此,除了感应电动机之外,完整模型的整体系统配置为与不受控制的整流器,稳态磁同步发电机(PMSG),降压转换器和铅酸电池(LAB)组合。根据施加的控制器,通过规定的电池存储和风发单元可以有效地获得所需功率的负载。考虑到建议的矢量控制通过三相逆变器调节感应电动机速度,将获得220 V / 50 Hz,这是该研究的主要目标。此外,将具有所提出的最佳控制的系统与基于遗传算法(GA)和经典PID控制的最优控制进行比较。因此,可以得出结论,数值计算和仿真的结果说明了所研究的系统具有强大的实现和完美预测器的电参数波形。

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