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    Monitoring of renewable energy systems by IoT-aided SCADA system

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    Energy Science Engineering - 2022 - Qays - Monitoring of renewable energy systems by IoT‐aided SCADA system.pdf (4.006Mb)
    Date
    2022
    Author
    Qays, Md Ohirul
    Ahmed, Musse M.
    Parvez Mahmud, M. A.
    Abu-Siada, Ahmed
    Muyeen, S. M.
    Hossain, Md Liton
    Yasmin, Farhana
    Rahman, Md Momtazur
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    Abstract
    With the rapid increase of renewable energy generation worldwide, real-time information has become essential to manage such assets, especially for systems installed offshore and in remote areas. To date, there is no cost-effective condition monitoring technique that can assess the state of renewable energy sources in real-time and provide suitable asset management decisions to optimize the utilization of such valuable assets and avoid any full or partial blackout due to unexpected faults. Based on the Internet of Things scheme, this paper represents a new application for the Supervisory Control and Data Acquisition (SCADA) system to monitor a hybrid system comprising photovoltaic, wind, and battery energy storage systems. Electrical parameters such as voltage, current, and power are monitored in real-time via the ThingSpeak website. Network operators can control components of the hybrid power system remotely by the proposed SCADA system. The SCADA system is interfaced with the Matlab/Simulink software tool through KEPServerEX client. For cost-effective design, low-cost electronic components and Arduino Integrated Development Environment ATMega2560 remote terminal unit are employed to develop a hardware prototype for experimental analysis. Simulation and experimental results attest to the feasibility of the proposed system. Compared with other existing techniques, the developed system features advantages in terms of reliability and cost-effectiveness. 2022 The Authors. Energy Science & Engineering published by Society of Chemical Industry and John Wiley & Sons Ltd.
    DOI/handle
    http://dx.doi.org/10.1002/ese3.1130
    http://hdl.handle.net/10576/40401
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    • Electrical Engineering [‎2840‎ items ]

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