Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems

Mike Brian Ndawula; Antonio De Paola; Ignacio Hernando Gil

doi:10.1109/PTC.2019.8810753

Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems

Mike Brian Ndawula, Antonio De Paola, Ignacio Hernando Gil

Department of Electronic & Electrical Engineering

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

1 Citation (SciVal)

39 Downloads (Pure)

Abstract

The valuation of whether network operators meet users' expectations in ensuring a continuous supply to their premises is important in determining their willingness-to-pay (WTP) for electricity. Distributed resources such as photovoltaic (PV) systems will dominate future networks, and thus customers' WTP will vary dynamically, both spatially and temporally. Whereas system-wide indices are typically used to assess network performance, there is a requirement to complement these with customer-based indices to accurately quantify the risk of outages to affected and worst-served customers. This paper presents an enhanced Monte Carlo simulation technique, which performs reliability assessment of a typical MV/LV urban distribution network. Two smart grid scenarios considering controllability of PV and energy storage (ES) are designed to improve network performance. Customer based reliability indices, measuring the frequency and duration of interruptions, and energy not supplied are thoroughly assessed. Results demonstrate the potential of hybrid PV-ES in reducing power supply risk for worst-served customers.

Original language	English
Title of host publication	2019 IEEE Milan PowerTech, PowerTech 2019
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781538647226
DOIs	https://doi.org/10.1109/PTC.2019.8810753
Publication status	Published - 26 Aug 2019
Event	13th IEEE Powertech Conference 2019: Leading Innovation for Energy Transition - Bovisa Campus, Politechnico di Milano, Milan, Italy Duration: 23 Jun 2019 → 27 Jun 2019 http://ieee-powertech.org/

Publication series

Name	2019 IEEE Milan PowerTech, PowerTech 2019

Conference

Conference	13th IEEE Powertech Conference 2019
Abbreviated title	PES2019
Country/Territory	Italy
City	Milan
Period	23/06/19 → 27/06/19
Internet address	http://ieee-powertech.org/

Keywords

Energy not supplied
Energy storage
Monte carlo simulation
Reliability indices
Willingness-to-pay

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Safety, Risk, Reliability and Quality

UN SDGs

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

Access to Document

10.1109/PTC.2019.8810753

NdawulaDePaolaHernandoGil_CustomerOrientedPowerSupplyRisk.PDF
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Accepted author manuscript, 354 KB

Cite this

Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems. / Ndawula, Mike Brian; De Paola, Antonio; Hernando Gil, Ignacio.
2019 IEEE Milan PowerTech, PowerTech 2019. IEEE, 2019. 8810753 (2019 IEEE Milan PowerTech, PowerTech 2019).

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

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abstract = "The valuation of whether network operators meet users' expectations in ensuring a continuous supply to their premises is important in determining their willingness-to-pay (WTP) for electricity. Distributed resources such as photovoltaic (PV) systems will dominate future networks, and thus customers' WTP will vary dynamically, both spatially and temporally. Whereas system-wide indices are typically used to assess network performance, there is a requirement to complement these with customer-based indices to accurately quantify the risk of outages to affected and worst-served customers. This paper presents an enhanced Monte Carlo simulation technique, which performs reliability assessment of a typical MV/LV urban distribution network. Two smart grid scenarios considering controllability of PV and energy storage (ES) are designed to improve network performance. Customer based reliability indices, measuring the frequency and duration of interruptions, and energy not supplied are thoroughly assessed. Results demonstrate the potential of hybrid PV-ES in reducing power supply risk for worst-served customers.",

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N2 - The valuation of whether network operators meet users' expectations in ensuring a continuous supply to their premises is important in determining their willingness-to-pay (WTP) for electricity. Distributed resources such as photovoltaic (PV) systems will dominate future networks, and thus customers' WTP will vary dynamically, both spatially and temporally. Whereas system-wide indices are typically used to assess network performance, there is a requirement to complement these with customer-based indices to accurately quantify the risk of outages to affected and worst-served customers. This paper presents an enhanced Monte Carlo simulation technique, which performs reliability assessment of a typical MV/LV urban distribution network. Two smart grid scenarios considering controllability of PV and energy storage (ES) are designed to improve network performance. Customer based reliability indices, measuring the frequency and duration of interruptions, and energy not supplied are thoroughly assessed. Results demonstrate the potential of hybrid PV-ES in reducing power supply risk for worst-served customers.

AB - The valuation of whether network operators meet users' expectations in ensuring a continuous supply to their premises is important in determining their willingness-to-pay (WTP) for electricity. Distributed resources such as photovoltaic (PV) systems will dominate future networks, and thus customers' WTP will vary dynamically, both spatially and temporally. Whereas system-wide indices are typically used to assess network performance, there is a requirement to complement these with customer-based indices to accurately quantify the risk of outages to affected and worst-served customers. This paper presents an enhanced Monte Carlo simulation technique, which performs reliability assessment of a typical MV/LV urban distribution network. Two smart grid scenarios considering controllability of PV and energy storage (ES) are designed to improve network performance. Customer based reliability indices, measuring the frequency and duration of interruptions, and energy not supplied are thoroughly assessed. Results demonstrate the potential of hybrid PV-ES in reducing power supply risk for worst-served customers.

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KW - Energy storage

KW - Monte carlo simulation

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Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems

Abstract

Publication series

Conference

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

Cite this

Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems

Abstract

Publication series

Conference

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

Cite this