Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation

Duo Fang; Mingzhe Zou; Gareth Harrison; Sasa Z. Djokic; Mike Brian Ndawula; Xiao Xu; Ignacio Hernando Gil; Jagadeesh Gunda

doi:10.1109/PMAPS47429.2020.9183525

Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation

Duo Fang, Mingzhe Zou, Gareth Harrison, Sasa Z. Djokic, Mike Brian Ndawula, Xiao Xu, Ignacio Hernando Gil, Jagadeesh Gunda

Department of Electronic & Electrical Engineering

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

7 Citations (SciVal)

Abstract

This paper evaluates deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for wind-based distributed generation (DG). The presented methodology considers variations of demands and DG power outputs, as well as dynamic thermal ratings (DTR) of network components. Deterministic approaches are based on a limited number of scenarios with minimum and maximum demands and DTR limits, while probabilistic approaches use simultaneous hourly values of all input parameters. The presented methodology has three stages. First, locational HC (LHC) of individual buses is calculated assuming connection of a single DG unit in the considered network. Afterwards, the LHC results are used to calculate network HC (NHC), assuming that DG units are connected at all network buses. Finally, busto-bus LHC-sensitivity factors are used to determine LHC and NHC for any number of DG units connected at arbitrary network buses.

Original language	English
Title of host publication	2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings
Subtitle of host publication	PMAPS
Publisher	IEEE
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781728128221
DOIs	https://doi.org/10.1109/PMAPS47429.2020.9183525
Publication status	Published - 1 Sept 2020

Publication series

Name	2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Deterministic and scenario-based analysis
distributed generation
dynamic thermal rating
firm and non-firm capacity
hosting capacity
probabilistic analysis
renewables
wind energy

ASJC Scopus subject areas

Computer Networks and Communications
Statistics, Probability and Uncertainty
Energy Engineering and Power Technology
Safety, Risk, Reliability and Quality
Statistics and Probability

UN SDGs

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

Access to Document

10.1109/PMAPS47429.2020.9183525

Cite this

Fang, D., Zou, M., Harrison, G., Djokic, S. Z., Ndawula, M. B., Xu, X., Hernando Gil, I., & Gunda, J. (2020). Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation. In 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings: PMAPS (pp. 1-6). Article 9183525 (2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings). IEEE. https://doi.org/10.1109/PMAPS47429.2020.9183525

Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation. / Fang, Duo; Zou, Mingzhe; Harrison, Gareth et al.
2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings: PMAPS. IEEE, 2020. p. 1-6 9183525 (2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings).

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

Fang, D, Zou, M, Harrison, G, Djokic, SZ, Ndawula, MB, Xu, X, Hernando Gil, I & Gunda, J 2020, Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation. in 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings: PMAPS., 9183525, 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings, IEEE, pp. 1-6. https://doi.org/10.1109/PMAPS47429.2020.9183525

Fang D, Zou M, Harrison G, Djokic SZ, Ndawula MB, Xu X et al. Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation. In 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings: PMAPS. IEEE. 2020. p. 1-6. 9183525. (2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings). doi: 10.1109/PMAPS47429.2020.9183525

Fang, Duo ; Zou, Mingzhe ; Harrison, Gareth et al. / Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation. 2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings: PMAPS. IEEE, 2020. pp. 1-6 (2020 International Conference on Probabilistic Methods Applied to Power Systems, PMAPS 2020 - Proceedings).

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abstract = "This paper evaluates deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for wind-based distributed generation (DG). The presented methodology considers variations of demands and DG power outputs, as well as dynamic thermal ratings (DTR) of network components. Deterministic approaches are based on a limited number of scenarios with minimum and maximum demands and DTR limits, while probabilistic approaches use simultaneous hourly values of all input parameters. The presented methodology has three stages. First, locational HC (LHC) of individual buses is calculated assuming connection of a single DG unit in the considered network. Afterwards, the LHC results are used to calculate network HC (NHC), assuming that DG units are connected at all network buses. Finally, busto-bus LHC-sensitivity factors are used to determine LHC and NHC for any number of DG units connected at arbitrary network buses.",

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author = "Duo Fang and Mingzhe Zou and Gareth Harrison and Djokic, {Sasa Z.} and Ndawula, {Mike Brian} and Xiao Xu and {Hernando Gil}, Ignacio and Jagadeesh Gunda",

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AU - Ndawula, Mike Brian

AU - Xu, Xiao

AU - Hernando Gil, Ignacio

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Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

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

Cite this

Deterministic and Probabilistic Assessment of Distribution Network Hosting Capacity for Wind-Based Renewable Generation

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

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

Cite this