电力系统自动化2017，Vol.41Issue(1)：25-30,87,7.DOI:10.7500/AEPS20160307015
面向全景调控统一数据模型的缺失数据填补算法
Missing Data Filling Algorithm for Uniform Data Model in Panoramic Dispatching and Control System
唐良瑞 1王瑞杰 1吴润泽 1樊冰1
作者信息
- 1. 新能源电力系统国家重点实验室(华北电力大学),北京市 102206
- 折叠
摘要
Abstract
Filling missing data is one of the key steps in building panoramic data of the dispatching and control system to ensure the completeness and accuracy of information.According to the features of the historical data in the power dispatching and control system, a missing data filling algorithm for the uniform data model in the panoramic dispatching and control system is proposed.In view of the incomplete data appearing in the process of building panoramic data, the best parameters corresponding to the mean and covariance of the incomplete data are estimated by the improved chaos genetic optimization algorithm.Then, based on the known data, the missing data are estimated by the improved Markov Chain Monte Carlo (MCMC) method.The results show that the algorithm is able to get the best parameters of incomplete data with less iterations, while improving the estimated value accuracy of missing data to ensure the completeness and accuracy of the data.关键词
全景数据/缺失数据/混沌遗传优化算法/数据填补Key words
panoramic data/missing data/chaos genetic optimization algorithm/data filling引用本文复制引用
唐良瑞,王瑞杰,吴润泽,樊冰..面向全景调控统一数据模型的缺失数据填补算法[J].电力系统自动化,2017,41(1):25-30,87,7.
