An iot hardware platform architecture for monitoring power grid systems based on heterogeneous multi-sensors

Phuoc Duc Nguyen, Hieu Quang Vo, Linh Ngoc Le, Seokjin Eo, Lokwon Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Partial discharge (PD) is a major indicator of various failures in power grid systems. PD exhibits a physical occurrence where a localized electrical discharge happens in insulation materials. This phenomenon causes damage to the insulating parts and, in various circumstances, leads to complete insulation breakdown. As a consequence, it can produce more costly outcomes such as abrupt outages or lost production. Therefore, PD detection plays a vital role in preventing insulation failure. In this work, we propose a system that utilizes heterogeneous sensors for the PD detection along with multi-sensor interface, real-time advanced denoise processing, flexible system operation, and Bluetooth-low-energy (BLE)-based ad hoc communication. Among the variety of heterogeneous sensors, several are developed by the application of nanomaterials and nanotechnology, thus outperforming the regular types. The proposed system successfully identifies the presence of PD from sensor signals using a microprocessor-based processing system and effectively performs an advanced denoising technique based on the wavelet transform through field-programmable-gate-array (FPGA)-based programmable logics. With the development of the system, we aim to achieve a solution with low cost, high flexibility and efficiency, and ease of deployment for the monitoring of power grid systems.

Original languageEnglish
Article number6082
Pages (from-to)1-21
Number of pages21
Issue number21
Publication statusPublished - 1 Nov 2020


  • Ad hoc network
  • FPGA
  • Heterogeneous sensors
  • MCU
  • Partial discharge detection


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