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首页> 外文期刊>Journal of power electronics >Design of Emotional Learning Controllers for AC Voltage and Circulating Current of Wind-Farm-Side Modular Multilevel Converters
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Design of Emotional Learning Controllers for AC Voltage and Circulating Current of Wind-Farm-Side Modular Multilevel Converters

机译：风电场侧模块化多电平变换器交流电压和环流情感学习控制器的设计

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The introduction of a high-voltage direct-current (HVDC) system based on a modular multilevel converter (MMC) for wind farm integration has stimulated studies on methods to control this type of converter. This research article focuses on the control of the AC voltage and circulating current for a wind-farm-side MMC (WFS-MMC). After theoretical analysis, emotional learning (EL) controllers are proposed for the controls. The EL controllers are derived from the learning mechanisms of the amygdala and orbitofrontal cortex which make the WFS-MMC insensitive to variance in system parameters, power change, and fault in the grid. The d-axis and q-axis currents are respectively considered for the d-axis and q-axis voltage controls to improve the performance of AC voltage control. The practicability of the proposed control is verified under various conditions with a point-to-point MMC-HVDC system. Simulation results show that the proposed method is superior to the traditional proportional-integral controller.
机译：基于用于风电场集成的模块化多电平转换器（MMC）的高压直流（HVDC）系统的引入，激发了对控制此类转换器的方法的研究。本文主要研究风电场侧MMC（WFS-MMC）的交流电压和循环电流的控制。经过理论分析，提出了针对控件的情绪学习（EL）控制器。 EL控制器源自杏仁核和眶额皮质的学习机制，这使得WFS-MMC对系统参数的变化，功率变化和电网故障不敏感。 d轴和q轴电压控制分别考虑d轴和q轴电流，以改善AC电压控制的性能。使用点对点MMC-HVDC系统在各种条件下验证了所提出控制的实用性。仿真结果表明，该方法优于传统的比例积分控制器。

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