Study On The Parameter Identification And Clustering Algorithm Of Electric Load Model

With the expansion of the scale of power system and complication of its structure, theimportance of the research of the power system load modeling is becoming more and moreprominent. But the particularity of power load (particularity refers to degeneration,randomness, complexity,distribution and diversity)prevented the load modeling work and theexisting models are so conservative,thus improving the accuracy of the load model has longbeen thought to the problems of power system engineering practice and academic research tobe resolved.In the three chapter of this paper elaborated the meaning and the importance of theload modeling and research states of the load modeling at home and abroad,and introduces theload modeling method,the commonly used model structure and principle and implementationsteps of clustering and parameter identification algorithm..In the fourth chapter of this paper, in order to solve the problem of the particularity ofload, using fuzzy c-means and k-means clustering algorithm to do clustering analysis and twokind of clustering results and the clustering center matrix are obtained,and the results of twomethods were analyzed.Each kind of clustering center can fully reflect the characteristics ofthe data,thus it can solve the problem of degeneration and distribution of electricity that hasprevented the load modeling work.In chapter five of this paper, according to the measured data of the load in the laboratory,the genetic algorithm and the traditional least squares method is adopted to power functionmodel and polynomial model identification, and established power function load model andpolynomial load model based on the traditional algorithm and genetic algorithm.the errorbetween the measured data and the two kinds of models were analyzed,and the results showedthat the model built by genetic algorithm is lower precision than traditional method. Finallyusing MATLAB/SIMULINK simulation tool and theory of measurement-based method tobuild simulation system with wind power generation and the data samples of load characteristics are collected from dynamic simulation,and do parameter identification forcollected data, and the results show that the load area with wind generation could be describedby asynchronous generator.