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

Mike Brian Ndawula, Antonio De Paola, Ignacio Hernando Gil

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 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 languageEnglish
Title of host publication2019 IEEE Milan PowerTech, PowerTech 2019
PublisherIEEE
Number of pages6
ISBN (Electronic)9781538647226
DOIs
Publication statusPublished - 26 Aug 2019
Event13th IEEE Powertech Conference 2019: Leading Innovation for Energy Transition - Bovisa Campus, Politechnico di Milano, Milan, Italy
Duration: 23 Jun 201927 Jun 2019
http://ieee-powertech.org/

Publication series

Name2019 IEEE Milan PowerTech, PowerTech 2019

Conference

Conference13th IEEE Powertech Conference 2019
Abbreviated titlePES2019
CountryItaly
CityMilan
Period23/06/1927/06/19
Internet address

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

Cite this

Ndawula, M. B., De Paola, A., & Hernando Gil, I. (2019). Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems. In 2019 IEEE Milan PowerTech, PowerTech 2019 [8810753] (2019 IEEE Milan PowerTech, PowerTech 2019). IEEE. https://doi.org/10.1109/PTC.2019.8810753

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 in Book/Report/Conference proceedingConference contribution

Ndawula, MB, De Paola, A & Hernando Gil, I 2019, Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems. in 2019 IEEE Milan PowerTech, PowerTech 2019., 8810753, 2019 IEEE Milan PowerTech, PowerTech 2019, IEEE, 13th IEEE Powertech Conference 2019, Milan, Italy, 23/06/19. https://doi.org/10.1109/PTC.2019.8810753
Ndawula MB, De Paola A, Hernando Gil I. Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems. In 2019 IEEE Milan PowerTech, PowerTech 2019. IEEE. 2019. 8810753. (2019 IEEE Milan PowerTech, PowerTech 2019). https://doi.org/10.1109/PTC.2019.8810753
Ndawula, Mike Brian ; De Paola, Antonio ; Hernando Gil, Ignacio. / Evaluation of Customer-oriented Power Supply Risk with Distributed PV-Storage Energy Systems. 2019 IEEE Milan PowerTech, PowerTech 2019. IEEE, 2019. (2019 IEEE Milan PowerTech, PowerTech 2019).
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