Comprehensive Evaluation Of Voltage Support Capacity Of Distribution Network Based On Dynamic Time Warping Distance Planning Of Superior And Inferior Solutions

With the aim of "double carbon",the application of renewable clean energy demand will gradually increase,the distributed grid is the way the application prospect of larger,however,the intermittent and randomness of distributed power supply can lead to problems such as voltage fluctuation of distribution network,so in this paper,a distributed power supply of high permeability distribution network as the research background,analysis of its voltage supporting ability were evaluated.Firstly,the influence mechanism of large-scale access of distributed power on distribution network voltage is analyzed by studying the generation models and grid-connected control modes of various types of distributed power supply,and the reactive power support model is established,which provides theoretical basis for the formulation of index system.Then,considering the main factors affecting the voltage support capability of distribution network,the voltage support capability index system is established through mathematical model derivation.In this paper,the establishment of a distributed power supply connected to the input indicators and the output voltage support status indicators and output indicators reflect the merits of the input indicators,as well as the partition based reactive power balance and voltage margin support index,through three aspects of index characterization can reflect more distributed power distribution network access to the voltage supporting ability.Then,according to the characteristics of index data sources and index attributes,the weight assignment method combining subjective and objective is studied.In this paper,the method of cooperative game is considered to optimize the weight combination,making the weight formulation more reasonable.Then,according to national standards and relevant regulations,the best and worst solution sequence of the index is formulated,and the best and worst solution is determined by historical data analysis for those without regulations.Distance by using dynamic time warping planning improvement and solution method,using the ideas of pattern recognition for optimal worst sequence template matching,and to evaluate with dynamic time warping distance algorithm can recognize the advantages of different length of the sequence characteristics,overcome in the power system data acquisition are missing due to the problem.At the same time,the improved fuzzy C-means clustering algorithm was used to mine the evaluation grade,and the evaluation grade was determined with the dynamic time bending distance algorithm of the superior and inferior solutions,so as to determine the evaluation grade of the samples to be evaluated.Finally,all the research contents of this paper are compared and verified,problems in the research process are summarized and prospects for the next step of research are made,and further research areas are proposed.