Computing platform for power flow models in real time: Case study - Real-time monitoring on a photovoltaic generation system and its integration into the load flow of Universidad Nacional de Colombia power grid model

This paper describes the design and implementation of a computational platform for power flow models in real time with the integration of smart metering, real-time monitoring, and an information management system. This platform, designed under the six layers architecture of smart grids within the Na...

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Bibliographic Details
Published in2016 IEEE PES Transmission & Distribution Conference and Exposition-Latin America (PES T&D-LA) pp. 1 - 8
Main Authors Salamanca, William Montano, Rosero Garcia, Javier A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2016
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Summary:This paper describes the design and implementation of a computational platform for power flow models in real time with the integration of smart metering, real-time monitoring, and an information management system. This platform, designed under the six layers architecture of smart grids within the National Laboratory for Smart Grids of Universidad Nacional de Colombia - LAB+i, allows making the connection from any local or remote process, through communication protocols to a system of information management in order to involve the measurements obtained in real-time to a power flow model of a distribution system. Therefore, a scenario of large-scale insertion of photovoltaic generation for self-supplied electricity on campus is proposed. The real-time monitoring of a photovoltaic generation system and its integration with the platform are presented. In addition, the load profile substation where measurements are linked in real time can be observed. This case study shows the results of load flow in real-time of Universidad Nacional de Colombia distribution power grid with the integration of real-time measurements of a photovoltaic generation system. Conclusions from the proposal to insert a massive photovoltaic generation system are presented.
ISSN:2472-9639
DOI:10.1109/TDC-LA.2016.7805654