الفهرس 
Detection of partial discharge in medium and high voltage equipment using photonic crystal fiber sensors
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Abstract
Detection of partial discharge (PD) is vital to reassure the reliability
of Medium voltage (MV) and high voltage (HV) electric power systems
during operation. Nevertheless, optical detection methods has been
developed in recent years due to their high sensitivity and immunity to
electromagnetic interference. The conventional optical fibers have
exhibited excellent performance in optical PD detection and many
applications. However, they suffer from limitations regarding their
structure. In particular, the optical fiber design should satisfy the design
rules of core diameter limitation in single-mode operation and selection of
core and cladding materials to be with similar thermal characteristics.
In this work, two D-shaped Photonic crystal fiber based on surface
plasmon resonance sensors for optical detection of PD in MV and HV
equipment including gas insulated systems are designed and investigated
for the first time to the best of our knowledge. First, a photochromic
spirooxazine dye-doped silica sol-gel is utilized for sensing the UV
radiation emitted from the PD in air. Then, a methyl-red-doped poly
(methyl methacrylate) (MR-PMMA) is used for sensing the radiation from
the PD in SF6-insulated systems, which is mainly a visible light.
Furthermore, the sensors have the advantage of a simple structural design
and easy fabrication. The sensing performance of the proposed sensors is
demonstrated with the help of the full vectorial finite element method
(FVFEM). Moreover, the proposed UV sensor shows high sensitivity of 2.4
nm/mW.cm-2
. Additionally, the ratio of the sensitivity to the full width at
half maximum (FWHM) represented by Figure of merit (FOM) shows a
high value of 0.073 mW-1
.cm2
. On the other hand, the sensing ability of the
visible light sensor is investigated under different light intensities. Hence,
the numerical simulation results show the highest sensitivity of 667
pm/mW.cm-2
besides high sensing linearity.