光伏出力随机性分量的提取和统计特性分析

发布时间：2018-06-17 06:40

本文选题：光伏出力 + 随机性　；参考：《电力系统自动化》2017年01期

【摘要】：准确刻画光伏出力的随机特性对分析光伏电站并网的影响具有重要的作用。然而受日地运动和大尺度天气过程影响,光伏出力整体上却表现出日周期性和年周期性而并非一个单纯的随机序列,因此从光伏出力序列中区分规律性与随机性特征并正确提取出其随机性分量显得尤为重要。根据不同物理因素的影响,基于太阳辐射模型和最小二乘原理,提出了一种光伏出力随机性分量的提取方法。基于该提取方法,利用甘肃及德国的光伏实测数据对所提随机性分量进行了详细的统计特性分析。
[Abstract]:It is very important to describe the random characteristics of photovoltaic output accurately for analyzing the influence of grid-connected photovoltaic power station. However, under the influence of solar-terrestrial motion and large-scale weather processes, photovoltaic forces on the whole show diurnal periodicity and annual periodicity rather than a simple random sequence. Therefore, it is very important to distinguish the regularity and randomness from the photovoltaic force sequence and extract the random components correctly. Based on the solar radiation model and the least square principle, a method for extracting the random components of photovoltaic force is proposed according to the influence of different physical factors. Based on this method, the statistical characteristics of the random components are analyzed in detail by using the measured photovoltaic data from Gansu and Germany.
【作者单位】：强电磁工程与新技术国家重点实验室(华中科技大学);ABB(中国)有限公司 ABB中国研究院;
【基金】：国家重点研发计划智能电网技术与装备专项项目(2016YFB0900400,2016YFB0900403)~~
【分类号】：TM615

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