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Capture mechanism and optimal design of micro-particle traps in HVAC/HVDC gas insulated equipment

Chang, Yanan, Liu, Zhipeng, Li, Qingmin, Xue, Naifan, Wang, Jian and Haddad, Manu 2022. Capture mechanism and optimal design of micro-particle traps in HVAC/HVDC gas insulated equipment. IEEE Transactions on Power Delivery 10.1109/TPWRD.2022.3155641

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Abstract

A particle motion excitation and observation platform was established to physically simulate the actual online operating conditions of HVAC/HVDC GIS/GIL as well as study the capture mechanism of particle traps. Experimental results illustrated that, the collision motion style was a principal factor to affect the particle capturing capability, and the capture behavior of AC and DC particle traps could be classified into three separate modes, depending on variation of the collision process which could be characterized by random probability and the lognormal distribution rebound angle. A particle trajectory simulation model incorporating motion randomness was thereby presented as to realize quantitative analysis and further optimize the trap parameters. A hazard index and minimum collision times were defined and calculated to quantitatively evaluate the particle collision effect on trapping capability. Further, a novel trap design topology was proposed to enhance the anti-motion efficiency of the particle traps. Targeted at high objective capture probability, the particle trap parameters were optimized to reduce the hazard index and improve the minimum collision times by the Monte Carlo scheme. Verification of the novel article trap was implemented on a test rig, which gave an increased capture probability by 30% compared with the traditional trap design.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Engineering
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 0885-8977
Date of Acceptance: 26 February 2022
Last Modified: 24 Mar 2022 16:02
URI: https://orca.cardiff.ac.uk/id/eprint/148405

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