NDAWULA, Mike Brian; DE PAOLA, Antonio; HERNANDO GIL, Ignacio

doi:10.1109/SEST.2019.8849130

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NDAWULA, Mike Brian

DE PAOLA, Antonio

HERNANDO GIL, Ignacio

ESTIA - Institute of technology [ESTIA]

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Communication dans un congrès

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2019 International Conference on Smart Energy Systems and Technologies (SEST), 2019 International Conference on Smart Energy Systems and Technologies (SEST), 2019-09-09, Porto. 2019-09-26p. 1-6

IEEE

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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.< Leer menos

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energy not supplied

disaggregation

monte carlo simulation

reliability indices

smart grid technologies

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Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks

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