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

Research output: Contribution to journalArticlepeer-review

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Abstract

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.
Original languageEnglish
Article number1081
Pages (from-to)94-99
Number of pages6
Journal Pak JET
Volume4
Issue number2
DOIs
Publication statusPublished - 28 Jun 2021

Keywords

  • Pyro-sensors
  • Machine learning
  • Artificial intelligence
  • Current transformer
  • Potential transformer

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