An Artificial Intelligence Based Current Measurement Technique in High Voltage Power Transmission and Distribution Lines using Pyro-Sensors

Ali Rehman, Zeesha Najam Khan, Muhammad Siddique, Muhammad Shahzad, Makhdoom Muhammad Naeem, Muhammad Majid Hussain

    Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

    22 Wedi eu Llwytho i Lawr (Pure)

    Crynodeb

    High voltage transmission lines are the fundamental element in order to transfer electricity from the power plant/grid to consumers. The frequency, current and voltage are the key figures to sustain the absolute quality of the power transmission, and maintaining such high performance requires smart solutions and equipment like Current Transformer (CT) & Potential Transformer (PT). This proposed work enlightens an inception to monitor current in the high voltage transmission lines by using pyro-sensors, machine learning (ML) techniques and artificial intelligence (AI). Using pyro-sensors around the transmission/distribution lines, data will be gathered about the heat waves (infrared waves) generated by the electric current in the transmission/distribution line. The proposed methodology uses this data to be processed by neural network based artificial intelligent algorithm to evaluate the amount of current in the transmission line. The claim about the authenticity of the proposed technique is tested and verified by MATLAB simulation neural network toolbox.
    Iaith wreiddiolSaesneg
    Rhif yr erthygl1081
    Tudalennau (o-i)94-99
    Nifer y tudalennau6
    Cyfnodolyn Pak JET
    Cyfrol4
    Rhif cyhoeddi2
    Dynodwyr Gwrthrych Digidol (DOIs)
    StatwsCyhoeddwyd - 28 Meh 2021

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