神经网络控制有源滤波器抑制谐波电压畸变

Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting Pub Date : 1992-10-04 DOI:10.1109/IAS.1992.244320

A. Kumamoto, T. Hikihara, Y. Hirane, K. Oku, O. Nakamura, S. Tada, K. Mizuki, Y. Ogihara

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引用次数: 13

摘要

提出了一种利用神经网络理论对有源交流谐波滤波系统进行控制的新算法，以降低电力系统中的谐波电压畸变。新的控制理念致力于减少由许多分布式谐波发电负载引起的谐波电压畸变。介绍了谐波干扰问题、有源滤波器的神经网络控制算法以及在小型电力系统模拟器上的测试结果。由于有源滤波器的作用，即使在没有有源滤波器的情况下，最大电压失真超过7%，电压失真也会低于1%。谐波电压补偿控制的响应时间在2秒以内。

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Suppression of harmonic voltage distortion by neural network controlled active filter

A newly developed control algorithm using a neural network theory for an active AC harmonic filter system to reduce the harmonic voltage distortion in an electrical power system is presented. The new control philosophy is dedicated to the reduction of the harmonic voltage distortion caused by many distributed harmonic generating loads. Harmonic disturbance problems, the neural network control algorithm of the active filter, and test results on a small-scale power system simulator are presented. The voltage distortion becomes lower than 1% because of the active filter operation, even under the condition that maximum voltage distortion exceed 7% without the active filter. The response time of the harmonic voltage compensation control is shown to be within two seconds.<>

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Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting

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