Abstract
Transformers are essential equipment to the operation of electrical power systems, a failure causes the lack of electricity supply to end-users, affecting the operating indicators of companies in the distribution sector. The investigation presents an identification of the faults in transformers through a fishbone diagram, an evaluation of the variables that cause the identified failure using the cross-impact matrix method and a proposal to improve the performance. The results will enable a plan to be developed for taking action with monitoring plans to avoid faults that could put the electrical asset at risk and achieve a better performance of the distribution network.
Highlights
The growth of cities requires the expansion of distribution systems to meet the growing demand for electricity [1]; one of the fundamental components are transformers, used to modify electrical voltage levels, reducing electrical losses and risks when it supplies electrical energy to the end-user [2]
The results will enable a plan to be developed for taking action with monitoring plans to avoid faults that could put the electrical asset at risk and achieve a better performance of the distribution network
This study presents a characterization of failures presented in distribution transformers and the use of Cross Impacts Matrix-Multiplication Applied to a Classification (MICMAC) method, based on qualitative study between the variables identified in a fishbone diagram and their interactions, it allows us to identify key factors to the performance of the transformer, the results will allow to design monitoring plans to avoid faults that can put in risk the electrical asset and to achieve a better performance of the distribution network
Summary
The growth of cities requires the expansion of distribution systems to meet the growing demand for electricity [1]; one of the fundamental components are transformers, used to modify electrical voltage levels, reducing electrical losses and risks when it supplies electrical energy to the end-user [2]. The costs associated with the maintenance and replacement of the transformer are high [8]; avoiding failures is a key factor for distribution companies, due to the impact on their service indicators. Knowing their causes allows companies to create preventive and corrective maintenance plans to extend the useful life of transformers. This study presents a characterization of failures presented in distribution transformers and the use of Cross Impacts Matrix-Multiplication Applied to a Classification (MICMAC) method, based on qualitative study between the variables identified in a fishbone diagram and their interactions, it allows us to identify key factors to the performance of the transformer, the results will allow to design monitoring plans to avoid faults that can put in risk the electrical asset and to achieve a better performance of the distribution network
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