神經網(wǎng)絡控制APF抑制微電網(wǎng)諧波的研究
張霄夢
(河北工業(yè)大學 電氣工程學院,天津 300130)
摘 要:針對微電網(wǎng)中的諧波污染問題,運用CMAC 神經網(wǎng)絡與PID 算法相結合控制有源電力濾波器(APF),抑制微電網(wǎng)諧波。該系統(tǒng)采用CMAC 前饋控制,確保系統(tǒng)響應速度,PID 后饋控制,來抑制擾動,仿真結果表明,該控制方法對微電網(wǎng)諧波有明顯的抑制效果。
關鍵詞:微電網(wǎng);諧波抑制;小腦模型神經網(wǎng)絡;有源電力濾波器
中圖分類號:TM714.3 文獻標識碼:A 文章編號:1007-3175(2016)05-0010-03
Research on Cerebellar Model Articulation Controller of Active Power Filter to Suppress Micro-Grid Harmonics
ZHANG Xiao-meng
(School of Electrical Engineering, Hebei University of Technology, Tianjin 300130, China)
Abstract: Aiming at the problem of harmonic pollution in micro-grid, this paper combined the cerebellar model articulation controller(CMAC) with the proportion intergration differentiation (PID) algorithm to control the active power filter (APF). The system adopted the CMAC feedforward control to guarantee the system response speed and the PID feedback control to restrain disturbance. The simulation result shows that this control method has obvious inhibitory effect for micro-grid harmonics.
Key words: micro-grid; harmonic suppression; cerebellar model articulation controller; active power filter
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