Bibliographic citations
Alarcon, D., (2021). Implementación de un sistema de monitoreo y control en tiempo real para el análisis predictivo de un Sistema Eléctrico de Potencia con Generación Distribuida [Tesis, Universidad de Ingeniería y Tecnología]. https://hdl.handle.net/20.500.12815/251
Alarcon, D., Implementación de un sistema de monitoreo y control en tiempo real para el análisis predictivo de un Sistema Eléctrico de Potencia con Generación Distribuida [Tesis]. PE: Universidad de Ingeniería y Tecnología; 2021. https://hdl.handle.net/20.500.12815/251
@misc{renati/230581,
title = "Implementación de un sistema de monitoreo y control en tiempo real para el análisis predictivo de un Sistema Eléctrico de Potencia con Generación Distribuida",
author = "Alarcon Monteza, Denis Dilthey",
publisher = "Universidad de Ingeniería y Tecnología",
year = "2021"
}
The objective of this research work was the implementation of a real-time monitoring and control system to perform predictive analysis in an electrical power system (SEP) with distributed generation (DG), using simulation equipment for electrical power systems (Lucas Nülle) and real-time simulation, monitoring and control software (ETAP-RT) in the renewable energy laboratory of the UTEC university. To develop it, a real DG system (laboratory scale) was implemented, which integrated NCRE source modules (solar, wind, hydraulic) and consumption loads in a simulated medium voltage distribution network. Likewise, a mathematical model was performed in the ETAP-RT software, in which nominal and estimated parameters were modeled and configured based on the laboratory equipment, design criteria for medium voltage electrical networks and the regulatory regulations for the development of DG systems in Peru (DS N° 292-2018-MEM/DM). Finally, by integrating the field equipment into the ETAP-RT mathematical model, through communication protocols such as Modbus and the OPC server, the software was used to monitor and control the power system in real time. Moreover, it was performed predictive simulations with archived data obtained in real time from the SEP, allowing to support the operational reliability of the electrical system and safely and efficiently manage the operation of energy systems.
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