Advanced Maintenance of Distribution Assets Through the Application of Predictive Techniques Using GE'S APM System: Real Case in a Spanish DSO

Abstract

AbstractEDP Redes España applies advanced maintenance techniques such as prediction and assets monitoring, in order to increase the assets reliability, minimize operational expenditures (OPEX), and reduce the operational risks, as well as optimizing capital expenditures (CAPEX) in assets with high replacement cost. Predictive techniques, that integrate the asset's health status, criticality, and aging models, can help to achieve the objectives, but the selection of the predictive maintenance system is not an easy task, given the limited experience that exists in the distribution business. The solution selected by EDP Redes España was the one provided by General Electric (GE), the Asset Performance Management (APM) system. APM software aims to assist EDP Redes España in integrating its extensive data ecosystem into a single system and optimize operational work processes. This paper presents the implementation of the APM system in the assets of EDP Redes España, which, as a reward for the great effort made, valuable results are beginning to be obtained for the advanced management of asset maintenance.