Research On Calculation Method Of Harmonic Responsibility Considering Different Scenes

With the rapid development of smart power grid,high-permeability new energy and UHV AC/DC power transmission,large-scale nonlinear loads are incorporated into public power grid,and harmonic sources are characterized by large number,large amount and wide distribution,etc.,and the harmonic pollution characteristics are complex and the harm is aggravated.The key to harmonics control is to divide harmonics responsibility reasonably.The sufficient condition of harmonic responsibility division is harmonic source tracing.In this paper,the dominant harmonic source tracing method based on power estimation and impedance correction is firstly summarized,and the dominant problem of harmonic fluctuations on both sides of the common connection point is qualitatively discussed.The effectiveness of the method is verified by an example.Secondly,this paper comprehensively compares the existing harmonics liability assessment indicators at home and abroad,and summarizes their advantages and disadvantages and the scope of application.Aiming at the problems existing in the traditional calculation method of harmonic liability,this paper summarizes the improved dominant fluctuation method based on the relative phase Angle,and uses the dual Nell filter dominant fluctuation to calculate the system’s equivalent harmonic impedance.The example proves the accuracy and practicability of this method.Due to load the characteristics of time-varying,randomness,users harmonic impedance is difficult to estimate and related research is less,this paper puts forward the system side dominated the harmonic movement harmonic impedance calculation method,this method makes up for the data filtering method of the effective information from and monitoring period of data,both the phase information and tracking the regression error,The accuracy of the calculation results is improved.At the same time,the idea of piecewise linear regression is adopted to reduce the influence of abnormal data on the estimation.Finally,the effectiveness and feasibility of this method are verified by an example.In order to solve the problems of imperfect indicators of power quality analysis devices in China,the advantages and disadvantages of relevant devices at home and abroad are compared and analyzed,and the research significance and optimization solutions of the new power quality analyzer are discussed.Harmonic is a key indicator of power quality.Based on the results of harmonic traceability and harmonic responsibility calculation in this paper,a new power quality analyzer with more complete indicators is designed to customize the output power quality data report,providing technical support and data support for power quality governance and smart grid construction.