As everyone knows the power network harmonics influence directly on the operation of the whole power system.
众所周知，电网谐波直接影响着整个电力系统的安全运行。
AN approach of measuring harmonics in power system based on artificial neural network (ANN) is put forward in this paper.
提出了一种基于人工神经元网络(ANN)的电力系统谐波测量方法。
Computer programs, which are used to analyze harmonics in a power system, will calculate the voltage distortion for given harmonic sources and a network configuration.
用计算机程序来分析功率系统的谐波，可以计算出给定谐波源和网络结构的电压畸变量。
The direction of harmonic power flow should be understood and the position of harmonic source can be determined according to the direction of harmonic power while harmonics exist in power network.
电力系统中有谐波存在时，应该了解谐波功率的方向，并按谐波功率的方向确定谐波源的位置。
Since more and more nonlinear equipments have been used in the power supply network, the generated high harmonics current leads to waveform distortion of voltage and current in the supply network.
由于电网中非线性设备的使用日益增多，所产生的高次谐波电流大量注入电力线路中，使得电网电压、电流波形发生畸变。
Power system Network Node thousands of mixed clouds, active power, reactive power flow, high harmonics, negative sequence current of the speed of light in the system-wide communication.
电力系统中网络结点千百个交织密布，有功潮流、无功潮流、高次谐波、负序电流等以光速在全系统范围传播。
Power system Network Node thousands of mixed clouds, active power, reactive power flow, high harmonics, negative sequence current of the speed of light in the system-wide communication.
电力系统中网络结点千百个交织密布，有功潮流、无功潮流、高次谐波、负序电流等以光速在全系统范围传播。
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