电力系统自动化2017，Vol.41Issue(1)：48-56,9.DOI:10.7500/AEPS20160225007
光伏出力随机性分量的提取和统计特性分析
Analysis on Random Component Extraction and Statistical Characteristics of Photovoltaic Power
摘要
Abstract
A good understanding of the stochastic characteristics of photovoltaic (PV) power is essential to analysis of the influence of PV power integration.However, solar radiation intensity is influenced by the solar-earth revolution and the long-term weather processes.As a result, PV power series as a whole exhibits a mixture of stochastic process with annually and diurnally periodical components rather than a purely stochastic series.So how to distinguish between the random and periodical patterns of the PV power and extract the random component from the time series is particularly important.A method is proposed to extract the random component from the PV power series based on the global solar radiation model and the least square method.Multiple dominant factors influencing the PV output are considered.Moreover, the statistical characteristics of the random component are analyzed at length using the real-world measurement of the PV power from Gansu and Germany.关键词
光伏出力/随机性/太阳辐射/最小二乘法/统计特性Key words
photovoltaic power/random characteristic/solar radiation/least square method/statistical characteristic引用本文复制引用
赵亮,黎嘉明,艾小猛,文劲宇,谢海莲,岳程燕..光伏出力随机性分量的提取和统计特性分析[J].电力系统自动化,2017,41(1):48-56,9.基金项目
国家重点研发计划智能电网技术与装备专项项目(2016YFB0900400,2016YFB0900403) （2016YFB0900400,2016YFB0900403）
This work is supported by National Key Research and Development Program of China (No.2016YFB0900400, No.2016YFB0900403). （No.2016YFB0900400, No.2016YFB0900403）
