Measurement uncertainty impact on simplified load flow analysis in MV smart grids

Nicola Panzavecchia, Valentina Cosentino, Antonio Cataliotti, Salvatore Nuccio, Salvatore Guaiana, Dario Di Cara, Nicola Panzavecchia, Giovanni Tinè, Dario Di Cara, Giovanni Tine'

Risultato della ricerca: Otherpeer review

5 Citazioni (Scopus)

Abstract

This work is focused on the measurement uncertainty impact on load flow analysis in medium voltage (MV) distribution networks. In more detail, the paper presents the uncertainty evaluation of a simplified load flow algorithm, which is based on the load power measurements at each secondary substation and one voltage measurement at the slack bus (i.e. the voltage at the MV bus bars of the primary substation). To reduce the costs of the monitoring system, the load flow algorithm makes use of LV load power measurements for all the substations except those of MV users, where MV transducers are usually already installed. The uncertainties on the algorithm input quantities (load powers and slack bus voltage) are calculated, considering the actual values of the loads power factors and currents and the accuracy specifications of the measurement instruments installed in the distribution network. Starting from the input quantities uncertainties, the power flows uncertainties are obtained applying the Monte Carlo analysis. The analysis is carried out on a real test system, i.e. the distribution network of Favignana Island. The compatibility is also shown between the algorithm power flow estimations and the power measurements.
Lingua originaleEnglish
Pagine1-6
Numero di pagine6
Stato di pubblicazionePublished - 2018

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Instrumentation

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