Partial Discharge Detection Using a Spherical Electromagnetic Sensor

Romano, Pietro; Imburgia, A.; Ala, Guido

doi:10.3390/s19051014

Cited by 43 publications

(17 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors of [15] used a HFCT sensor for PD diagnosis in power cables. [16] evaluated an adapted UWB antenna to identify various features of a PD source while [17] developed an MCU-based system for measuring PD activities using broadband radiometer sensors. [18] combined a fiber network with an MCU-based control unit for monitoring PD activities on high voltage bushings.…”

Section: Related Workmentioning

confidence: 99%

An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors

Nguyen

et al. 2020

Sensors

View full text Add to dashboard Cite

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.

show abstract

Section: Related Workmentioning

confidence: 99%

An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors

Nguyen

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…Partial discharges are an aleatory phenomenon that emits UHV, heat, and electromagnetic and acoustic waves. The more it occurs, the more impaired is the insulation system [4,5]. Therefore, PDs are both evidence and cause of the insulation system degradation, and this phenomenon can lead the transformer to a complete loss.…”

Section: Introductionmentioning

confidence: 99%

A Comparison between Piezoelectric Sensors Applied to Multiple Partial Discharge Detection by Advanced Signal Processing Analysis

Binotto

Castro

Santos

et al. 2020

7th International Electronic Conference on Sensors and Applications

View full text Add to dashboard Cite

The development of sensors applied to failure detection systems for power transformers is a critical concern since this device stands out as a strategic component of the electric power system. Among the most common issues is the presence of partial discharges (PDs) in the insulation system of the transformer, which can lead the device to total failure. Aiming to prevent unexpected damages, several PD monitoring approaches have been developed. One of the most promising is the Acoustic Emission (AE) technique, which captures the acoustic signals generated by PDs using piezoelectric sensors. Although many studies have proved the effectiveness of AE, most signal processing approaches are strictly related to the frequency analysis of PD signals, which can hide important information such as the repetition rate of the failure. This article presents a comparison between two types of piezoelectric transducers: the microfiber composite (MFC) and the lead zirconate titanate (PZT). To ensure the detection of multiple PDs, time–frequency analysis was carried out by short-time Fourier transform (STFT). Intending to compare the sensibility of the transducers, the AE signals were windowed, and the root mean square (RMS) value was extracted for each part of the signal. The results indicate that spectrogram and RMS analysis have great potential to detect multiple PD activity. Although MFC was two times more sensitive to PD detection than the PZT sensor, PZT presents a higher frequency response band (0–100 kHz) than MFC (80 kHz).

show abstract

“…However, in any case, the inversion of the electric field profile can lead to higher electric stresses than the rated ones in case of transient over voltages (TOV) or polarity reversal (PR). This can cause the occurrence of partial discharges near the external surface of the dielectric layer and the accelerated ageing of the insulation [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

The Effect of the Axial Heat Transfer on Space Charge Accumulation Phenomena in HVDC Cables

et al. 2020

Self Cite

View full text Add to dashboard Cite

To date, it has been widespread accepted that the presence of space charge within the dielectric of high voltage direct current (HVDC) cables is one of the most relevant issues that limits the growing diffusion of this technology and its use at higher voltages. One of the reasons that leads to the establishment of space charge within the insulation of cables is the temperature dependence of its conductivity. Many researchers have demonstrated that high temperature drop over the insulation layer can lead to the reversal of the electric field profile. In certain conditions, this can over-stress the insulation during polarity reversal (PR) and transient over voltages (TOV) events accelerating the ageing of the dielectric material. However, the reference standards for the thermal rating of cables are mainly thought for alternating current (AC) cables and do not adequately take into account the effects related to high thermal drops over the insulation. In particular, the difference in temperature between the inner and the outer surfaces of the dielectric can be amplified during load transients or near sections with axially varying external thermal conditions. For the reasons above, this research aims to demonstrate how much the existence of “hot points” in terms of temperature drop can weaken the tightness of an HVDC transmission line. In order to investigate these phenomena, a two-dimensional numerical model has been implemented in time domain. The results obtained for some case studies demonstrate that the maximum electric field within the dielectric of an HVDC cable can be significantly increased in correspondence with variations along the axis of the external heat exchange conditions and/or during load transients. This study can be further developed in order to take into account the combined effect of the described phenomena with other sources of introduction, forming, and accumulation of space charge inside the dielectric layer of HVDC cables.

show abstract

Partial Discharge Detection Using a Spherical Electromagnetic Sensor

Cited by 43 publications

References 22 publications

An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors

An IoT Hardware Platform Architecture for Monitoring Power Grid Systems Based on Heterogeneous Multi-Sensors

A Comparison between Piezoelectric Sensors Applied to Multiple Partial Discharge Detection by Advanced Signal Processing Analysis

The Effect of the Axial Heat Transfer on Space Charge Accumulation Phenomena in HVDC Cables

Contact Info

Product

Resources

About