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San Diego Gas & Electric (SDG&E) has committed to the construction of a comprehensive Transmission and Distribution Substation Condition Based Maintenance (CBM) project. The ultimate objective of this project is to extend the useful life and make greater utilization of its Transmission and Distribution Substation Assets. The transformer is the most expensive and critical asset in the substation...
Given the complexity of the Brazilian electric power system, it is important to ensure that equipments work in satisfactory conditions and with high levels of reliability. Within those equipments, power transformers are one of the most important assets, because they are expensive and functionally complex. Dissolved gases analysis (DGA) in mineral oil insulation is widely considered as an appropriate...
Power transformer has degraded under its normal and abnormal operating conditions, maintenance activities are vital to restore the condition back to the normal condition. The traditional preventive maintenance is well known and successfully performed, but its cost is very high. This paper aims to improve the drawback by introducing asset management system for systematical records of scattering failure...
Power equipment with healthy condition is vital to security and stability of power grid. It is helpful to ensure power network secure and stable to grasp equipment status data immediately and comprehensively and to evaluate equipment status accurately. Information that reflects healthy status of substation equipment is analyzed. The CIM model is extended by following the semantic and grammar of CIM...
Remaining Life of the oil-immersed transformer is decided due to deterioration of the winding insulation paper. The furfural method is conventionally used to estimate the remaining life. However, the results are obtained as wide ranges between upper and lower limits. Therefore, a more accurate estimation method has been expected. This paper proposes the remaining life assessment for oil-immersed transformer...
The condition-based maintenance of electrical transformer is a scientific overhauling management strategy prevailing domestically and abroad. This article depicts the failure diagnosing algorithm based on radial basis function (RBF), and by means of simulation, proves that the use of RBF method in condition-based maintenance of transformer obtains a comparatively good capability in classification,...
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