谐波检测的瞬时功率自适应算法

Based on Instantaneous Power and Adaptive Algorithm for Harmonic Detection

研究了一种减少电网谐波污染的新算法。算法基于广义瞬时无功功率理论,结合神经网络的自适应算法对电流进行检测和补偿,使电流波形得到良好的改善,谐波消弱,从而保证电网的稳定和安全。通过Matlab平台建立仿真模型,对新算法的适应性和准确性进行验证,研究结果为电网谐波分析与检测提供参考数据和一种新的检测方法。

A new algorithm toreduce the harmonic pollution is investigated. The algorithm based on the generalized instantaneous reactive power theory, and adaptive algorithm with neural network to detect and compensate for current. The improvement of the current waveform ensures the grid stability and security. To prove the feasibility of theory, simulation model is established by Matlab. It is shown that the new method can compensate accurately and timely for the currents through Matlab simulation experiments, and can provide an effective reference data and new methods for the actual situation.