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전력용 변압기 경년열화와 관련된 DGA 대표가스에 관한 연구
권동진,김용현,주병수,Kweon, Dongjin,Kim, Yonghyun,Joo, Byoungsoo 한국전력공사 2017 KEPCO Journal on electric power and energy Vol.3 No.1
The life management technology becomes important as the failure risk of the aged power transformers increases. Asset management technology, therefore, has been developed to evaluate the remaining life and build replacement strategies of power transformers, which enables an optimal investment decisions based on reliability and economic feasibility. The remaining life assessment technology uses data related to such as installation, operation, maintenance, refurbishment, and disposed history of power transformers. The optimal investment decision additionally uses data related to failure and social costs. To develop the asset management technology in power transformers, it is important to find deterioration parameters directly indicating degradation of power transformers. In this study, 110,000 DGA data during the past 35 years have been analyzed in order to find the deterioration parameters related to the degradation of power transformers. The alarm rates of combustible gases ($H_2$, $C_2H_2$, $C_2H_4$, $CH_4$, $C_2H_6$), TCG CO, and $CO_2$ were analyzed as deterioration parameters. The origin of the gas was discussed in connection with discharge, overheating and insulation aging.
자산관리시스템 상태평가를 위한 Health Index 개선방안
권동진(Dongjin Kweon),김용현(Yonghyun Kim),박기훈(Gi-Hun Park) 대한전기학회 2021 대한전기학회 학술대회 논문집 Vol.2021 No.10
자산관리시스템은 Risk Matrix 방식을 사용하여 PoF와 CoF로 구성되어 있으며, PoF는 설비의 상태 평가를 나타내는 HI를 기반으로 하고 있다. 그러나 HI의 상태평가 결과가 실제 설비의 상태와 무관하게 평가되는 문제점이 제기되고 있다. 본 연구에서는 기존 HI의 문제점을 사례를 통해 분석하고, 설비의 상태평가 및 자산관리시스템의 PoF를 위한 HI 개선방안을 제시하였다.
권동진(Dongjin Kweon),김용현(Yonghyun Kim),이온유(Onyou Lee),강형구(Hyoungku Kang),이준호(JuneHo Lee) 대한전기학회 2020 전기학회논문지 Vol.69 No.5
A method for evaluating replacement life of substation transformers required to build an asset management system is presented. The electrical utilities are replacing the transformers at the time when the failure rate of the transformers increases to prevent sudden failures. In this study, the mean time to failure of the transformers was defined as the technical end of life, and 52 years was calculated by analyzing the cumulative density function of the failure data. The replacement time of the transformers was defined as the strategic end of life, and 32 years was calculated by failure rate (Bathtub curve) analysis. These lives of the substation transformers are calculated based on 154kV three-phase transformers with sufficient failure data, and the lives of 154kV single-phase transformers applied since 1995 should be recalculated when failure data is sufficiently collected. In addition, the replacement life of the transformers should be strategically decided according to the business value of the company and the risk associated with the failure of the transformer.