基于最大熵原理的谐波评估指标研究

Research on Harmonic Evaluation Index Based on Maximum Entropy Principle

随着新型电力系统的加速构建,电网的谐波特性日益复杂,研究谐波数据的有效统计管理,对评估电网电能质量好坏具有重要意义。提出一种基于最大熵原理的谐波评估指标统计方法,通过记录并保存谐波数据的平均值、中心距等数字特征,使用最大熵原理对谐波进行概率分布拟合,达到保存并识别谐波特征的目的,方便数据储存;利用拟合的概率分布获取谐波95%概率值和99%概率值两种谐波评估标准,保证了指标的准确性和一致性。最后通过谐波实测数据进行算法实例分析,验证了所提方法的有效性。

With the accelerated construction of new power system,the harmonic characteristics of power grid are becoming more and more complex.It is of great significance to study the effective statistical management of harmonic data for evaluating the power quality of power grid.A statistical method of harmonic evaluation index based on maximum entropy principle was proposed.By recording and saving the average value and center distance of harmonic data,the maximum entropy principle was used to fit the probability distribution of harmonics,so as to save and identify the harmonic characteristics and facilitate data storage.Two harmonic evaluation criteria of harmonic 95%probability value and 99%probability value were obtained by using the fitted probability distribution,which ensures the accuracy and consistency of the index.Finally,the effectiveness of the proposed method was verified by the example analysis of harmonic measured data.