Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks

Mike Brian Ndawula; Antonio De Paola; Ignacio Hernando Gil

doi:10.1109/SEST.2019.8849130

Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks

Mike Brian Ndawula, Antonio De Paola, Ignacio Hernando Gil

Department of Electronic & Electrical Engineering

ESTIA Institute of Technology

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

1 Citation (SciVal)

90 Downloads (Pure)

Abstract

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.

Original language	English
Title of host publication	2019 International Conference on Smart Energy Systems and Technologies (SEST)
Publisher	IEEE
Pages	1-6
Number of pages	6
Volume	2019
ISBN (Electronic)	978-1-7281-1156-8
DOIs	https://doi.org/10.1109/SEST.2019.8849130
Publication status	Published - 26 Sept 2019

Publication series

Name	SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Keywords

disaggregation
energy not supplied
monte carlo simulation
reliability indices
smart grid technologies

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Control and Optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/SEST.2019.8849130

DisaggregationReportedReliability.PDF
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Accepted author manuscript, 311 KB

Cite this

Ndawula, M. B., De Paola, A., & Hernando Gil, I. (2019). Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks. In 2019 International Conference on Smart Energy Systems and Technologies (SEST) (Vol. 2019, pp. 1-6). (SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies). IEEE. https://doi.org/10.1109/SEST.2019.8849130

Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks. / Ndawula, Mike Brian; De Paola, Antonio; Hernando Gil, Ignacio.
2019 International Conference on Smart Energy Systems and Technologies (SEST). Vol. 2019 IEEE, 2019. p. 1-6 (SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Ndawula, MB, De Paola, A & Hernando Gil, I 2019, Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks. in 2019 International Conference on Smart Energy Systems and Technologies (SEST). vol. 2019, SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies, IEEE, pp. 1-6. https://doi.org/10.1109/SEST.2019.8849130

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abstract = "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 urbannetworks. 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 responseand 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.",

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Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks

Abstract

Publication series

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)

High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits

ECONOMICALLY EFFICIENT NETWORK CHARGING METHODOLOGY FOR A SY STEM WITH SIGNIFICANT INTERMITTENT GENERATION - ARF

Cite this

Disaggregation of Reported Reliability Performance Metrics in Power Distribution Networks

Abstract

Publication series

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Peer-to-Peer Energy Trading and Sharing - 3M (Multi-times, Multi-scales, Multi-qualities)

High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits

ECONOMICALLY EFFICIENT NETWORK CHARGING METHODOLOGY FOR A SY STEM WITH SIGNIFICANT INTERMITTENT GENERATION - ARF

Cite this