The advances in distribution system automation, smart metering and exploitation of microgrids call for the adoption of more flexible options for power flow calculation. This paper illustrates the structure of a tool implemented to deal with time-dependent and uncertain data, as well as changing network structures during time. The focus is then set on including data uncertainty in probabilistic power flow calculations extended over a time period, in which the changing load and generation patterns are generally represented by correlated random variables. Exemplificative results are shown for a case study application.

Power Flow Calculations for Small Distribution Networks under Time-Dependent and Uncertain Input Data / Mazza, Andrea; Chicco, Gianfranco; Emmanouil, Bakirtzis; Anastasios, Bakirtzis; Antonio De, Bonis; João P. S., Catalão. - ELETTRONICO. - (2014). (Intervento presentato al convegno 2014 IEEE PES Transmission & Distribution Conference & Exposition tenutosi a Chicago, IL, USA nel 14-17 April 2014) [10.1109/TDC.2014.6863395].

Power Flow Calculations for Small Distribution Networks under Time-Dependent and Uncertain Input Data

MAZZA, ANDREA;CHICCO, GIANFRANCO;
2014

Abstract

The advances in distribution system automation, smart metering and exploitation of microgrids call for the adoption of more flexible options for power flow calculation. This paper illustrates the structure of a tool implemented to deal with time-dependent and uncertain data, as well as changing network structures during time. The focus is then set on including data uncertainty in probabilistic power flow calculations extended over a time period, in which the changing load and generation patterns are generally represented by correlated random variables. Exemplificative results are shown for a case study application.
2014
9781479936564
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2583548
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