High Voltage Partial Discharge (United Kingdom)

Este trabajo presenta el diseño de una fuente de alimentación para lámparas fluorescentes que mejora la eficiencia, tiene un alto factor de potencia y permite regular la intensidad luminosa. El objetivo central de este trabajo es mejorar la eficiencia del inversor resonante cambiando la clásica topología LCC o LLC por un LC serie. El circuito propuesto consiste en: un convertidor AC-DC configuración medio puente con corrección de factor potencia, un SRI1 y un convertidor en configuración puente completo para la ignición de la lámpara. El diseño de cada etapa de la fuente es presentado en este trabajo. Los experimentos se realizaron sobre dos tubos fluorescente de 32W mostrando que el método propuesto de alimentación mejoro en un 4% la eficiencia con respecto al método tradicional (AC-LCC o LLC) y se obtuvo un factor de potencia de 0.99.

Renforth et al. in 2017 present a novel online partial discharge (OLPD) high-voltage (HV) insulation condition monitoring (CM) solution to monitor complete HV networks in petrochemical and other critical industry facilities. Continuous, 24/7 OLPD insulation monitoring of in-service cables, switchgear, transformers, and rotating machines operating at 3000 V and above provides operators with an early warning against incipient HV insulation faults that manifest themselves through high PD activity. Knowledge of the type, severity, and source of any site(s) of PD across the HV network (including remotely connected plant such as Ex/ATEX HV motors located in hazardous gas zones) enables pinpointed preventative maintenance interventions to be made to the HV insulation system during planned maintenance turnarounds to avoid unplanned outages. To monitor a complete HV network, OLPD sensors and monitoring nodes are distributed at strategic locations across the network. The CM data from the distributed nodes are passed via Ethernet/LAN to a partial discharge monitoring server (PDMS) located at the control center of the facility with a secure internet connection. The PDMS operates an advanced OLPD monitoring database for the logging, display, benchmarking, trending, and visualization of the PD monitoring data on a graphical user interface. The insulation condition criticality (from 0% to 100%) of each phase of all of the individual HV plant items monitored is presented on a series of mimic screens of the HV network single-line diagram. This paper concludes with a case study of a complete HV network OLPD monitoring design solution implemented at a large, crude-oil processing facility in Eurasia.

This paper presents results from the continued application of a new technique for the remote, on-line partial discharge (OLPD) testing and monitoring of in-service, high voltage (HV) Ex/Atex motors operating in hazardous gas zones. The technique employs high current, wideband, high frequency current transformer (HFCT) sensors located remotely from the motor under test, at the switchboard end of the HV feeder cable. Significant cost and operational benefits can be gained from this remote monitoring technique as the stator winding condition of these motors can be monitored without having to enter the hazardous gas (Ex/Atex) zone. The work described in this paper is a continuation of that carried out by the same authors, as reported at the IEEE-PCIC 2012 conference, and includes the development of proposed condition guidelines for assessing the condition of the stator winding insulation systems of large populations of aged HV motors, based on an on-line partial discharge (OLPD) `league table' database. Two case studies are presented wherein the HV stator insulation condition and reliability of in-service motors, operating in a hazardous gas zones, and HV generators were assessed using both on-line and off-line partial discharge testing and monitoring techniques. The case studies emphasize the importance of carrying out extended, continuous on-line partial discharge monitoring of in-service rotating HV machines to detect underlying trends in partial discharge activity over time. The paper concludes with how condition monitoring data can support reliability centered maintenance and condition-based management regimes.