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Author: search.filters.author.Chumpiboon, KominSubject: search.filters.subject.partial discharge

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    Partial Discharge and Dissolved Gas Analysis on 22kV MV Oil-type Transformer - Case Study
    (2024-01-01)
    Inwanna, Woranan
    ;
    Waiwicha, Supisara
    ;
    Vanijkirati, Parada
    ;
    Monkolsatitpong, Suriya
    ;
    Chumpiboon, Komin
    Detecting faults leading to potential failure of important power distributing transformers in the power system before an occurrence is an important attribute. Various inspection methods are available, however online PD and oil analysis remain the most preferred method. The methods mentioned do not require equipment shutdown. This paper introduces a case study of the 22kV transformer with online PD and DGA results indicating signs of problems in the insulation. The PD group found initially had an increase in density of signals during the three months and the magnitude shows an upward trend. DGA results found H2 and CH4 gas, the latter is a key gas indicating PD. Results show an increasing trend of almost three times as high during the latter half of the year. In addition, CO, CO2, and C2H6 gases were also found to be higher than average. Virtual inspection was conducted after the transformer was shut down. The surface is found to be uneven around the bus bar, causing high temperatures in the transformer which then impacts the insulation performance.
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    Off-line and On-line Automatic and Unsupervised Partial Discharge Diagnostics of Electrical Asset Components
    (2024-01-01)
    Pattanadech, Norasage
    ;
    Jeenmuang, Siwakorn
    ;
    Udomluksananon, Patt
    ;
    Chumpiboon, Komin
    ;
    Shafiq, Muhammad
    This paper deals with applications of an innovative approach to on-line and off-line partial discharge (PD)-based condition maintenance, where PD detection and analytics are fully automatic and do not require the support of PD experts. PD was measured off-line on a 50 kV A, 22/0.4 kV distribution transformer and on 115 and 230 kV transformer bushings, showing in both cases that PD can be detected and analyzed automatically according to the SID (Separation, Recognition, Identification) procedure. On-line measurements performed on MV generators are also reported and discussed, highlighting that there is potential for on-line MV (and HV) monitoring with automatic and unsupervised noise rejection, and identification of PD phenomena that can feed health assessment software to reach optimized maintenance plans.
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    Partial Discharge Testing on MV Motor - Case Study
    (2023-01-01)
    Jeenmuang, Siwakorn
    ;
    Rojanasunan, Warisanan
    ;
    Dorkmai, Kritsada
    ;
    Chumpiboon, Komin
    ;
    Udomluksananon, Patt
    A failure of a medium voltage (MV) motor during its operation could force an outage of the power plant and also lead to a loss of cost. Hence, the method to ensure the insulation quality of such a motor is needed. Partial discharge (PD) testing is one of the effective methods used to determine the defect and evaluate the integrity of the machine insulation. This paper presents the application of off-line PD testing on MV motors. In the experiment, the PD test instrument conforming to standard IEC 60270 was used as a charge-based measurement. Moreover, during the PD testing, an acoustic imaging camera was employed as an alternative technique for locating the PD sources in the stator winding part. Once PD takes place, it can generate the pressure acoustic wave that propagates surrounding the PD source. Thus, the PD source in the area of endwinding can be located by this technique. From the charge-based PD test results, the phase-resolved PD (PRPD) pattern was considered to identify the type of PD source. It was found that almost MV motors tested have delamination in the bulk insulation. In some cases, the PRPD pattern exhibits the discharge in the area of the overlap region between the semiconductive and stress grading coating in the slot exit, which confirms by using the acoustic technique.