电工技术学报2012，Vol.27Issue(8)：141-146,6.
基于Bootstrap的实测负荷模型参数优选
Parameter Optimization of Measurement-Based Load Model Based on Bootstrap
摘要
Abstract
Load model is one of the most important elements in power system simulation and control.This paper proposes a new strategy to choose the parameters of load models based on the Bootstrap.Firstly,the optimization methods are used to identify the parameters through single field-measured curve.And then statistical distribution of each parameter is estimated by the Bootstrap.Finally,the value of each parameter is chosen according to its statistical characteristics.Since the Bootstrap estimates the approximate distribution of unknown parameter by converting the small-sample problem into the large-sample issue,the proposed strategy can make full use of the measured data and objectively estimate the statistical characteristics under small samples space.The case study verifies the validation of the proposed strategy,and it is shown that the load model established by the proposed strategy have good capability on describing the load dynamics.关键词
Bootstrap/小样本/负荷模型/实测数据/参数选择Key words
Bootstrap/small sample/load model/field measurement data/parameter optimization分类
信息技术与安全科学引用本文复制引用
韩冬,马进,贺仁睦..基于Bootstrap的实测负荷模型参数优选[J].电工技术学报,2012,27(8):141-146,6.基金项目
国家自然科学基金 （）
高等学校博士学科点专项科研基金 （）
北京市科技新星计划 （）
“111”引智计划（B08013）资助项目 （）
