分析光伏电站输出特性的云遮挡太阳辐射模型

李盼; 吴江; 管晓宏; 郑晗旭; 焦春亭; 王岱

doi:10.7652/xjtuxb201308011

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分析光伏电站输出特性的云遮挡太阳辐射模型

更新时间：2025-05-08

- 分析光伏电站输出特性的云遮挡太阳辐射模型
- Solar Radiation Model with Cloud Influence for Stochastic Characteristics Analysis of Large-Scale Photovoltaic Power Plant Output
- 西安交通大学学报 2013年47卷第8期页码：61-67
- 作者机构：
  
  西安交通大学系统工程研究所,西安,710049
- 作者简介：
- 基金信息：
  
  : 2013-03-20。作者简介: 李盼(1990—),女,硕士生;吴江(通信作者),男,博士,讲师。基金项目: 国家自然科学基金委创新研究群体科学基金资助项目(61221063);国家自然科学基金资助项目(61174146)
- DOI：10.7652/xjtuxb201308011
  中图分类号： TP13;TM615
- 网络首发：2013-08-10，
  
  纸质出版：2013
- 稿件说明：
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李盼, 吴江, 管晓宏, 等. 分析光伏电站输出特性的云遮挡太阳辐射模型[J]. 西安交通大学学报, 2013,47(8):61-67.

Solar Radiation Model with Cloud Influence for Stochastic Characteristics Analysis of Large-Scale Photovoltaic Power Plant Output[J]. 2013, 47(8): 61-67.
李盼, 吴江, 管晓宏, 等. 分析光伏电站输出特性的云遮挡太阳辐射模型[J]. 西安交通大学学报, 2013,47(8):61-67. DOI： 10.7652/xjtuxb201308011.

Solar Radiation Model with Cloud Influence for Stochastic Characteristics Analysis of Large-Scale Photovoltaic Power Plant Output[J]. 2013, 47(8): 61-67. DOI： 10.7652/xjtuxb201308011.

摘要

针对云层运动对于太阳辐射的影响

提出一种结合晴天太阳辐射模型与云层运动方程组的云遮挡太阳辐射模型(SRMCI)。首先

将云层运动的Navier-Stokes方程组及热力学方程进行差分后运用于耦合映射格

并结合美国采暖、制冷与空调工程师学会制定的晴天太阳辐射模型

引入水云对于太阳辐射的衰减因子

最终建立SRMCI模型。将SRMCI模型的结果作为某50 MW光伏电站的波动性输入

分析电站的输出功率的随机特性

仿真结果表明:SRMCI模型可模拟云层运动对于光伏电站的影响; 50个含不同波动幅度大小的单元输出功率经过整合后

光伏电站总输出功率波动得到了抑制; 云对电站总输出功率的衰减约为17.7%

电站总输出功率波动幅度约为单元输出功率平均波动幅度的10.8%。

Abstract

A solar radiation model with cloud influence(SRMCI)is proposed to consider the influence of cloud movement on solar radiation fluctuation for large-scale photovoltaic power plant. The model is based on the calculations of clear-sky solar radiation and cloud movement. The Navier-Stokes equations and the thermodynamic equations of cloud are differentiated for coupled map lattice to build the SRMCI by combining the clear-sky solar radiation model given by American Society of Heating

Refrigerating and Air-Conditioning Engineers(ASHRAE)and the attenuation model of solar radiation due to cloud droplets. Simulation results show that: 1)the proposed SRMCI model can efficiently analyze the stochastic characteristics of the solar power plant output; 2)the fluctuation of the total power output of the solar power plant is suppressed through aggregating power outputs of 50 units with different fluctuation; and 3)the attenuation of the total power output due to cloud is about 17.7%

and the fluctuation of the total power output is about 10.8% of the average fluctuation of the unit outputs.

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