Real-Time Web-Based System for Maximumizing PV Feeding to a Load Driven by Hybrid Grid-PV

  • Mahmoud Ahmed Elwany, El-Sayed Soliman A. Said, Magdy Abd Alghany Alsenbawy

Abstract

The wireless electrical measurement, monitoring and control can broadly increase the opportunities of the conventional systems to be smarted. This work presents a Real Time Data Acquisition Systems (RTDAS) for a residential home of a hybrid Grid-PV feeders and it can be remotely accessible. It interactively selects the electric feeder according to the PV availability. The system Graphical User Interface (GUI) supports a real time monitoring for feeders’ connections and the total current consumption of the home.  The system is developed according to maxim utilization of the PV energy system. The GUI can also control system hardware such as turning ON or OFF any of the home appliances as well as the server’s machines. The Database Management System (DBMS) Grants the volume of manageable data storage that increases the concurrent users with further supplementary data redundancy, consistency, integrity restrictions, and greater quality of services.  Enough solar energy detection and the home current consumption measurements are used for developing a full optimized SQL-Web server. The system is feedforwarding the desired actions (rules) through the application server according the targeted loads through fast static relays. The wireless data transferring, storing and suitable actuating are accomplished by using a Raspberry Pi accompanied with Arduino Uno based systems. The RTDAS is locally or remotely allowing the user to either set or renew the system settings. According to the sun status and the measured currents, the system will manage four bits as a firing signal. These bits are optically isolated for a protected connection with four fast static relays that either connects either grid, PV or both energy system to the home loads. The developed web server application intends a highly responsive as well as reacting user interface.

Published
2020-05-20
How to Cite
Mahmoud Ahmed Elwany, El-Sayed Soliman A. Said, Magdy Abd Alghany Alsenbawy. (2020). Real-Time Web-Based System for Maximumizing PV Feeding to a Load Driven by Hybrid Grid-PV. International Journal of Advanced Science and Technology, 29(06), 6552 - 6561. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/20103