基于神经网络分析的煤矿电能质量补偿量调节研究

Study on the Regulation of Power Quality Compensation in Coal Mine Based on Neural Network Analysis

随着煤矿非线性负荷及各种电力电子装置的广泛应用,电能质量问题越来越突出,着重分析了一种能提高对煤矿电网电能质量作用的统一电能质量控制器(UPQC)。着重介绍了其工作原理和补偿调节作用及算法。仿真验证表明,基于神经网络的UPQC补偿量检测方法具有可行性与高效性,具备一定的优越性。

In view of the wide application of nonlinear load and various power electronic devices, the power quality problems are becoming more and more serious, The unified power quality controller （UPQC） which can improve the power quality of coal mine power network is analyzed. Its work principle and compensation adjustment function and algorithm are mainly introduced in this paper. The simulation results show that the UPQC compensation detection method based on neural network is feasible and efficient, and has a certain advantage.