Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks

Mike Brian Ndawula (1) , Antonio de Paola (1) , Ignacio Hernando-Gil (2)

1 Department of Electronics and Electrical Engineering [Bath]
2 ESTIA INSTITUTE OF TECHNOLOGY

This paper introduces the critical need to report reliability performance metrics by distinguishing between different customer-groups, load demand and network types, within very large service areas managed by distribution network operators. Based on various factors, power distribution systems supplying residential demand are categorised in this study into rural, suburban and urban networks. An enhanced time-sequential Monte Carlo simulation procedure is used to carry out reliability assessment for each subsector, enabling disaggregation of reliability indices typically reported for the whole supplied system. Realistic distribution network modelling is achieved by the addition of smart grid technologies such as photovoltaic energy, demand side response and energy storage, to assess their impacts in different networks. Finally, both system and customer-oriented indices, measuring the frequency and duration of interruptions, as well as energy not supplied, are evaluated for a comprehensive analysis.

Mots clés: energy not supplied; disaggregation; monte carlo simulation; reliability indices; smart grid technologies

Domaines: Energie électrique; Electronique; Electromagnétisme; Automatique / Robotique; Ingénierie de l'environnement

Mike Brian Ndawula, Antonio de Paola, Ignacio Hernando-Gil. Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks. 2019 International Conference on Smart Energy Systems and Technologies (SEST), Sep 2019, Porto, Portugal. pp.1-6, ⟨10.1109/SEST.2019.8849130⟩. ⟨hal-02353467⟩