基于神经网络的非线性映射特性，提出了一种适用于直接电流控制的静止无功发生器检测无功和谐波电流的方法。
Basing on the image character of nonlinearity of neural network, the article introduces a method of detecting reactive and harmonic current which is fit for SVG's control by direct current.
本文的研究目的是立足于低压配电系统或工业负荷补偿，且控制方法采用直接电流控制的静止无功发生器的研究。
Based on the low-voltage distribution system or load compensation for industry, the aim of the thesis is to study the SVG that adopts direct-current control.
根据现有文献对静止无功发生器的主电路结构、各种有害电流检测方式和控制方式进行了分析、比较和总结。
After the summarization of present literatures, analyses and comparisons are made on the ASVG's main circuit, present detection system and control methods.
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