光伏出力随机性分量的提取和统计特性分析

ZHAO Liang

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光伏出力随机性分量的提取和统计特性分析

更新时间：2025-08-13

- 光伏出力随机性分量的提取和统计特性分析
- Automation of Electric Power Systems Vol. 41, Issue 1, Pages: 48-56(2017)
- 作者机构：
  
  强电磁工程与新技术国家重点实验室(华中科技大学),湖北省,武汉市,430074
- 作者简介：
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- DOI：
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- Published：2017
- 稿件说明：
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ZHAO Liang. [J]. Automation of electric power systems, 2017, 41(1): 48-56.
DOI：

ZHAO Liang. [J]. Automation of electric power systems, 2017, 41(1): 48-56. DOI：

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

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.

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