A real-time monitoring system based on ZigBee and 4G communications for photovoltaic generation

Kun Xia; Jiawen Ni; Yanhong Ye; Po Xu; Yiming Wang

doi:10.17775/CSEEJPES.2019.01610

欢迎来到能源电力期刊网！

English Version 读者登录期刊登录

您当前的位置：

首页 >

文章列表页 >

A real-time monitoring system based on ZigBee and 4G communications for photovoltaic generation

Special Section Papers | 更新时间：2025-12-19

- A real-time monitoring system based on ZigBee and 4G communications for photovoltaic generation
- A real-time monitoring system based on ZigBee and 4G communications for photovoltaic generation
- 中国电机工程学会电力与能源系统学报(英文) 2020年6卷第1期页码：52-63
- 作者机构：
  
  1. University of Shanghai for Science and Technology,Shanghai,China
  2. Ningbo Ginlong New Energy Tech Corporation,Ningbo,China
- 作者简介：
- 基金信息：
- DOI：10.17775/CSEEJPES.2019.01610
  中图分类号：
- 纸质出版：2020
- 稿件说明：
移动端阅览
Kun Xia, Jiawen Ni, Yanhong Ye, 等. A real-time monitoring system based on ZigBee and 4G communications for photovoltaic generation[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(1):52-63.

Kun Xia, Jiawen Ni, Yanhong Ye, et al. A real-time monitoring system based on ZigBee and 4G communications for photovoltaic generation[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 52-63.
Kun Xia, Jiawen Ni, Yanhong Ye, 等. A real-time monitoring system based on ZigBee and 4G communications for photovoltaic generation[J]. 中国电机工程学会电力与能源系统学报(英文), 2020,6(1):52-63. DOI： 10.17775/CSEEJPES.2019.01610.

Kun Xia, Jiawen Ni, Yanhong Ye, et al. A real-time monitoring system based on ZigBee and 4G communications for photovoltaic generation[J]. CSEE Journal of Power and Energy Systems, 2020, 6(1): 52-63. DOI： 10.17775/CSEEJPES.2019.01610.

摘要

Abstract

A novel real-time monitoring system for photovoltaic (PV) generation is presented in this paper. Internet of Things (IoT) integrated with cloud servers and terminal applications allow the remote monitoring of centralized or distributed photovoltaic systems. The proposed system could realize the networking communication of multiple nodes based on ZigBee

and upload the operational data to the cloud server via a 4G communications network. Then

the server selects three-phase current as the sample sets from the uploaded data to set up a composite current characteristic combining wavelet packet energy with waveform parameter

and establishes a fault diagnosis model based on the probabilistic neural network to analyze the health status of the PV inverter online. This method requires little sampling frequency without an extra signal and saves the cost of local devices by placing online diagnostics on the server-side. In addition

the user could query and store the running information of the PV systems through the personal computer-side web or mobile phone with remote control. This article presents the hardware design of ZigBee and the 4G module

and composition of the diagnosis model for open circuit failure of the PV inverter through the cloud server

building the user software at the application layer. The final experimental results show that the proposed system has better communication performance and higher diagnostic accuracy in real-time monitoring.

关键词

Keywords

references

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

In-situ health monitoring of IGBT modules of an on-line medium-voltage inverter system using industrial Internet of Things

Multi-mapping fault diagnosis of high voltage circuit breaker based on mathematical morphology and wavelet entropy

Failure Rate Prediction of a Power Transformer: A Decomposition-Based Bayesian Deep Learning Method

Joint Chance-Constrained Economic Dispatch Involving Joint Optimization of Frequency-Related Inverter Control and Regulation Reserve Allocation

Real-Time Optimization Strategy to Minimize Switching Losses for Three-Level NPC Inverter