[1]尹春杰,宋彦螟,王亚男,等.光伏发电组件在线监测与故障诊断系统研制[J].工业仪表与自动化装置,2020,(04):122-126.[doi:1000-0682(2020)04-0000-00]
　YIN Chunjie,SONG Yanming,WANG Yanan,et al.Development of online monitoring and fault diagnosis system for photovoltaic power generation module[J].Industrial Instrumentation & Automation,2020,(04):122-126.[doi:1000-0682(2020)04-0000-00]
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光伏发电组件在线监测与故障诊断系统研制

《工业仪表与自动化装置》[ISSN:1000-0682/CN:61-1121/TH]

卷:
期数:
2020年04期
页码:
122-126
栏目:
出版日期:
2020-08-15

文章信息/Info

Title:
Development of online monitoring and fault diagnosis system for photovoltaic power generation module
作者:
尹春杰; 宋彦螟; 王亚男; 李鹏飞; 肖发达
山东建筑大学 信息与电气工程学院，济南 250101
Author(s):
YIN Chunjie;  SONG Yanming;  WANG Ya’nan;  LI Pengfei ;  XIAO Fada
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China
关键词:
关键词：光伏组件; 故障诊断; 峰值功率; 开路电压; 双线性插值
Keywords:
photovoltaic module;  fault diagnosis;  peak power;  open circuit voltage;  bilinear interpolation
分类号:
TP277
DOI:
1000-0682(2020)04-0000-00
文献标志码:
A
摘要:
该文提出了基于峰值发电功率估计及最大功率电压估计的光伏组件在线故障诊断方法。以光辐射强度(S)及温度(T)为参变量，依据光伏组件有关出厂技术参数推算出峰值功率Pm(Si,Ti)和开路电压Uoc(Si,Ti)标准值空间分布；采用二维平面分段双线性插值法求取光辐射强度-温度平面内任意点的峰值功率基准值Pm(S,T)及开路电压基准值Uoc(S,T)。以此为基础，引入了最大功率评价系数(KP)和峰值功率电压评价系数(KV)，阐述了依据实际KP,KV实现光伏组件在线故障诊断的判定方法。基于智能化光伏组件设想，采用分布式网络系统架构并完成了智能监测终端单元电路设计。该系统具有安装方便、成本低廉、实时性强、灵敏度高等优点。
Abstract:
This paper presents an online fault diagnosis method for photovoltaic modules based on peak power generation estimation and maximum power voltage estimation.The paper uses the optical radiation intensity(S) and temperature(T) as parameters to calculate the spatial distribution of the peak power Pm(Si,Ti) and the open circuit voltage Uoc(Si,Ti) according to the relevant technical parameters of the PV module.The two-dimensional plane-segment bilinear interpolation method is used to obtain the peak power reference value Pm(S,T) and the open circuit voltage reference value Uoc(S,T) at any point in the optical radiation intensity -temperature plane. Based on this,the paper introduces the maximum power evaluation coefficient(KP) and peak power voltage evaluation coefficient(KV),and describes the method for determining the on-line fault diagnosis of photovoltaic modules based on actual KP and KV.Based on the idea of intelligent photovoltaic modules,the paper adopts the distributed network system architecture and completes the intelligent monitoring terminal unit circuit design.The system has the advantages of convenient installation,low cost,strong real-time performance and high sensitivity.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期：2019-12-05
基金项目：山东省重点研发计划项目资助(2019GGX103028)
作者简介：尹春杰(1970)，副教授，博士，研究方向为智能微电网控制技术、电力电子与电力传动新技术。
更新日期/Last Update: 1900-01-01