Data Analytics for Power Grid Control Centers Management

Abstract

This paper presents a data analytics model applied to the management of equipment and functions of SCADA systems in power system control centers. The model is composed of systems for the management, analysis and visualization of data in the cloud that is based on the processing of data stored in long-term repositories with a focus on assisted decision- making. This model allows evaluating the behavior of equipment and functions of a control center to manage them in a timely manner. The proposed model was implemented in five power grid control centers in Latin America (Colombia, Peru and Bolivia), in which it is observed that the management of the SCADA system from data-driven model allows recognizing trend and behavior patterns for prioritizing preventive management.