摘要
由于地理条件等因素的限制,光伏电站中光伏板的安装条件日趋复杂,使得不同光伏板的倾角、方向角可能存在较大差别。文中针对具有复杂安装条件的光伏电站,提出一种通过对比不同光伏板工作状态的方法以实现故障检测。首先,建立一种线性的光伏板出力解析模型;然后,从中提取一种与光伏板工作状态正常与否相关但与安装条件无关的特征量,并给出特征量及其概率分布的计算方法;在此基础上,设计光伏板的故障检测方法;最后,通过仿真验证该方法的有效性,讨论基于线性化假设求解光伏板特征量的概率分布对故障检测准确性带来的影响,并提出提高本方法判断故障准确性的方法。
Aiming at photovoltaic power plants with complex installation conditions, this paper proposed a method based on the comparison of working conditions between photovoltaic modules to achieve fault detection. First, to consider accuracy and simplicity, an analytical and linear model of module output was introduced. Moreover, a characteristic value was proposed, together with its extracting,calculation and probability analysis method. On this basis, a fault detection method for modules in PV stations, especially with complex installation conditions, was designed. Finally, the effectiveness of this method was verified by simulation.Specially, the influence of solving characteristic value based on linear model on the accuracy of fault detection was discussed,and a method to improve the accuracy of the fault judgment of this method was proposed.
作者
曹仟妮
贾孟硕
沈沉
CAO Qianni;JIA Mengshuo;SHEN Chen(Department of Electrical Engineering,Tsinghua University,Haidian District,Beijing 100084,China;Power System Lab,ETH Zurich,Zurich 8092,Switzerland;Research Center for Energy Internet Cloud Simulation and Intelligent Decision-making,Sichuan Energy Internet Research Institute,Tsinghua University,Chengdu 610213,Sichuan Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2022年第5期1917-1924,共8页
Proceedings of the CSEE
基金
国家自然科学基金联合基金项目(U1766206)。
关键词
光伏系统
故障检测
高斯混合模型
随机性
photovoltaic system
fault detection
Gaussian mixture model
randomness
