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Artificial Neural Network in Harmonic Reduction of STATCOM 被引量:1
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作者 LiHongmei LiZhenran ZhengPeiying 《Electricity》 2005年第1期34-37,共4页
To eliminate harmonic pollution incurred from the static synchronous compensator(STATCOM), a method of applying artificial neural network is presented. When PWM wave is formed based on the harmonic suppression theory,... To eliminate harmonic pollution incurred from the static synchronous compensator(STATCOM), a method of applying artificial neural network is presented. When PWM wave is formed based on the harmonic suppression theory, a concave is set on certain angle of the square wave to suppress unnecessary harmonics, by timely and on-line determining the chopping angle corresponding to respective harmonics through artificial neural network, i.e. by setting the position of concave to eliminate corresponding harmonics, the harmonic component on output voltage of the inverter can be improved. To conclude through computer simulation test, the perfect control effect has been proved. 展开更多
关键词 static synchronous compensator (STATCOM) artificial neural network(ANN) HARMONICS
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