Comparison of Deterministic and Probabilistic Approaches for Hosting Capacity Allocation of Wind and PV Generation in Distribution Networks

A. Zakaria; D. Fang; M. Zou; G. Harrison; S. Z. Djokic

doi:10.1109/PowerTech46648.2021.9494946

Comparison of Deterministic and Probabilistic Approaches for Hosting Capacity Allocation of Wind and PV Generation in Distribution Networks

A. Zakaria, D. Fang, M. Zou, G. Harrison, S. Z. Djokic

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper discusses and compares deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for connecting wind-based and PV-based distributed generation (DG). The presented approaches consider actual variations of solar and wind energy resources, supplied demands and dynamic thermal ratings (DTRs) of network components, based on available measurement data. The obtained results allow for a detailed analysis of the firm HC allocation for wind-based and PV-based DG in distribution networks, confirming that, due to implementation of DTRs, firm HC of wind DG is roughly twice the firm HC of PV DG.

Original language	English
Title of host publication	2021 IEEE Madrid PowerTech
Publisher	Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781665435970
DOIs	https://doi.org/10.1109/PowerTech46648.2021.9494946
Publication status	Published - 29 Jul 2021
Event	2021 IEEE Madrid PowerTech, PowerTech 2021 - Madrid, Spain Duration: 28 Jun 2021 → 2 Jul 2021

Conference

Conference	2021 IEEE Madrid PowerTech, PowerTech 2021
Country/Territory	Spain
City	Madrid
Period	28/06/21 → 2/07/21

Keywords / Materials (for Non-textual outputs)

Deterministic analysis
distributed generation
dynamic thermal rating
hosting capacity
photovoltaic generation
probabilistic analysis
renewables
wind generation

Access to Document

10.1109/PowerTech46648.2021.9494946

Cite this

@inproceedings{b7414660072948b9a44ca2067b97d7a6,

title = "Comparison of Deterministic and Probabilistic Approaches for Hosting Capacity Allocation of Wind and PV Generation in Distribution Networks",

abstract = "This paper discusses and compares deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for connecting wind-based and PV-based distributed generation (DG). The presented approaches consider actual variations of solar and wind energy resources, supplied demands and dynamic thermal ratings (DTRs) of network components, based on available measurement data. The obtained results allow for a detailed analysis of the firm HC allocation for wind-based and PV-based DG in distribution networks, confirming that, due to implementation of DTRs, firm HC of wind DG is roughly twice the firm HC of PV DG.",

keywords = "Deterministic analysis, distributed generation, dynamic thermal rating, hosting capacity, photovoltaic generation, probabilistic analysis, renewables, wind generation",

author = "A. Zakaria and D. Fang and M. Zou and G. Harrison and Djokic, {S. Z.}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Madrid PowerTech, PowerTech 2021 ; Conference date: 28-06-2021 Through 02-07-2021",

year = "2021",

month = jul,

day = "29",

doi = "10.1109/PowerTech46648.2021.9494946",

language = "English",

booktitle = "2021 IEEE Madrid PowerTech",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Zakaria, A, Fang, D, Zou, M, Harrison, G & Djokic, SZ 2021, Comparison of Deterministic and Probabilistic Approaches for Hosting Capacity Allocation of Wind and PV Generation in Distribution Networks. in 2021 IEEE Madrid PowerTech., 9494946, Institute of Electrical and Electronics Engineers, 2021 IEEE Madrid PowerTech, PowerTech 2021, Madrid, Spain, 28/06/21. https://doi.org/10.1109/PowerTech46648.2021.9494946

TY - GEN

T1 - Comparison of Deterministic and Probabilistic Approaches for Hosting Capacity Allocation of Wind and PV Generation in Distribution Networks

AU - Zakaria, A.

AU - Fang, D.

AU - Zou, M.

AU - Harrison, G.

AU - Djokic, S. Z.

PY - 2021/7/29

Y1 - 2021/7/29

N2 - This paper discusses and compares deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for connecting wind-based and PV-based distributed generation (DG). The presented approaches consider actual variations of solar and wind energy resources, supplied demands and dynamic thermal ratings (DTRs) of network components, based on available measurement data. The obtained results allow for a detailed analysis of the firm HC allocation for wind-based and PV-based DG in distribution networks, confirming that, due to implementation of DTRs, firm HC of wind DG is roughly twice the firm HC of PV DG.

AB - This paper discusses and compares deterministic and probabilistic approaches for assessing hosting capacity (HC) of distribution networks for connecting wind-based and PV-based distributed generation (DG). The presented approaches consider actual variations of solar and wind energy resources, supplied demands and dynamic thermal ratings (DTRs) of network components, based on available measurement data. The obtained results allow for a detailed analysis of the firm HC allocation for wind-based and PV-based DG in distribution networks, confirming that, due to implementation of DTRs, firm HC of wind DG is roughly twice the firm HC of PV DG.

KW - Deterministic analysis

KW - distributed generation

KW - dynamic thermal rating

KW - hosting capacity

KW - photovoltaic generation

KW - probabilistic analysis

KW - renewables

KW - wind generation

UR - http://www.scopus.com/inward/record.url?scp=85112375580&partnerID=8YFLogxK

U2 - 10.1109/PowerTech46648.2021.9494946

DO - 10.1109/PowerTech46648.2021.9494946

M3 - Conference contribution

AN - SCOPUS:85112375580

BT - 2021 IEEE Madrid PowerTech

PB - Institute of Electrical and Electronics Engineers

T2 - 2021 IEEE Madrid PowerTech, PowerTech 2021

Y2 - 28 June 2021 through 2 July 2021

ER -

Comparison of Deterministic and Probabilistic Approaches for Hosting Capacity Allocation of Wind and PV Generation in Distribution Networks

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Keywords / Materials (for Non-textual outputs)

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