Monitoring System for a Hybrid Photovoltaic-Diesel Power System: Web-Based SCADA Approach

IF 0.7 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Jordan Journal of Electrical Engineering Pub Date : 2023-01-01 DOI:10.5455/jjee.204-1669826483
M. Kandil, M. Aly, Mohamed Akl, M. Iqbal
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Abstract

This paper presents a low-cost open-source web-based SCADA monitoring system that will provide a new application of real-time instrumentation for monitoring a hybrid photovoltaic-diesel power system. The system’s purpose is to monitor parameters such as the voltage and current of the AC and DC buses. A cheap Arduino acquisition board is the foundation for the system design, as documentation of the board is widely available. Data are displayed through a local host Node-Red and web real-time database system, and the acquisition is accomplished using a reasonably priced current and voltage sensors. To improve the stability and operability of the newly constructed monitoring system, a secure and cost-effective internet connection has been created between external clients and the primary network webserver. Amazon web server is configured to allow access to remote clients when credentials and certificates are verified. The proposed system shows its ability to acquire real-time data by monitoring the hybrid system and storing the data in the client database for future access. Since the proposed system is less costly and time-consuming, and can assimilate and record data more easily, it can readily replace human intervention to avoid errors associated with multimeters’ readings. Eventually, analyzing such data, will lead to enhance both the performance and operational efficiency of the monitored hybrid power system.
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光伏-柴油混合动力系统的监测系统:基于web的SCADA方法
本文介绍了一种基于web的低成本开源SCADA监测系统,该系统将为实时监测光伏-柴油混合动力系统提供一种新的应用。该系统的目的是监测交流和直流母线的电压和电流等参数。廉价的Arduino采集板是系统设计的基础,因为该板的文档广泛可用。数据通过本地主机Node-Red和web实时数据库系统显示,并使用价格合理的电流和电压传感器完成采集。为了提高新建成的监控系统的稳定性和可操作性,在外部客户端和主要网络服务器之间建立了一个安全、经济的互联网连接。Amazon web服务器配置为允许在验证凭据和证书时访问远程客户端。该系统通过监测混合系统并将数据存储在客户端数据库中以备将来访问,从而显示了其获取实时数据的能力。由于所提出的系统成本更低,耗时更短,并且可以更容易地吸收和记录数据,因此它可以很容易地取代人工干预,以避免与万用表读数相关的错误。最终,通过对这些数据的分析,将提高所监测的混合动力系统的性能和运行效率。
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CiteScore
0.20
自引率
14.30%
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0
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