摘要
数据的完整性和准确性是数据挖掘、建模及优化的基础。由于光伏系统比较复杂,并且现场数据的采集过程易受干扰,因此,光伏数据在获取的过程中极易发生缺失现象,从而影响光伏数据的进一步挖掘。文章针对光伏电站数据采集系统中的数据不完善问题,结合光伏数据的特征,提出了基于MCMC的微网光伏数据缺失填补方法,并通过仿真结果证明了该方法的有效性。
In the field of data mining, modeling and optimization, the integrity and accuracy of data are the foundation for such research. According to the the complexity of the PV system and the characteristics of field data collection easy to be disturbed, the data are influenced very much in the process of data acquisition. In order to solve the problem of incomplete data in the data acquisition system of PV power plant, this paper combine with the characteristics of the data, and proposed a method to imputate missing data of Mcro-Grid PV system based on MCMC, and the simulation results proved the effectiveness of this method.
出处
《可再生能源》
CAS
北大核心
2018年第3期346-350,共5页
Renewable Energy Resources
基金
国家自然科学基金项目(61672266
61572237)
