Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems

Hesam Khazraj; Filipe Miguel Faria da Silva; Claus Leth Bak; Mazaher Haji Bashi

doi:10.1109/EEEIC.2018.8493814

Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems

Hesam Khazraj, Filipe Miguel Faria da Silva, Claus Leth Bak, Mazaher Haji Bashi

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

3 Citationer (Scopus)

Abstract

A daily operation of distribution network with the integration of wind power generation (WPG) is presented in this paper. In this study is considered reliability assessment of distribution network, which is one of the key indices to measure the impact of the renewable units' outage such as WPG. The proposed framework maximizes the distribution network operator (DNO) benefits in short-term scheduling model. A Markov model is proposed to a comprehensive reliability assessment of WPG and battery storage system (BSS). The properties of the main parts of the BSS and WPG and their effects on the distribution system reliability is also provided by the Markov model. A scenario-based method is employed to model the uncertainties of WPG and load value. The suggested model is successfully examined on the 9-bus standard system.

Originalsprog	Engelsk
Titel	Proceedings of the IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe
Antal sider	6
Udgivelsessted	Palermo, Italy
Forlag	IEEE Press
Publikationsdato	jun. 2018
Sider	1-6
Artikelnummer	8493814
ISBN (Trykt)	978-1-5386-5187-2
ISBN (Elektronisk)	978-1-5386-5186-5
DOI	https://doi.org/10.1109/EEEIC.2018.8493814
Status	Udgivet - jun. 2018
Begivenhed	IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe - Palermo, Italien Varighed: 12 jun. 2018 → 15 jun. 2018 https://www.eeeic.net/eeeic/

Konference

Konference	IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe
Land/Område	Italien
By	Palermo
Periode	12/06/2018 → 15/06/2018
Internetadresse	https://www.eeeic.net/eeeic/

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10.1109/EEEIC.2018.8493814

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Citationsformater

Khazraj, H., Silva, F. M. F. D., Bak, C. L., & Haji Bashi, M. (2018). Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems. I Proceedings of the IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe (s. 1-6). Artikel 8493814 IEEE Press. https://doi.org/10.1109/EEEIC.2018.8493814

@inproceedings{b647646a9c62445e8c391719f0011481,

title = "Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems",

abstract = "A daily operation of distribution network with the integration of wind power generation (WPG) is presented in this paper. In this study is considered reliability assessment of distribution network, which is one of the key indices to measure the impact of the renewable units' outage such as WPG. The proposed framework maximizes the distribution network operator (DNO) benefits in short-term scheduling model. A Markov model is proposed to a comprehensive reliability assessment of WPG and battery storage system (BSS). The properties of the main parts of the BSS and WPG and their effects on the distribution system reliability is also provided by the Markov model. A scenario-based method is employed to model the uncertainties of WPG and load value. The suggested model is successfully examined on the 9-bus standard system.",

keywords = "reliability assessment, Markov model, wind power generation, battery storage",

author = "Hesam Khazraj and Silva, {Filipe Miguel Faria da} and Bak, {Claus Leth} and {Haji Bashi}, Mazaher",

year = "2018",

month = jun,

doi = "10.1109/EEEIC.2018.8493814",

language = "English",

isbn = "978-1-5386-5187-2",

pages = "1--6",

booktitle = "Proceedings of the IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe",

publisher = "IEEE Press",

note = "IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe, EEEIC 2018 ; Conference date: 12-06-2018 Through 15-06-2018",

url = "https://www.eeeic.net/eeeic/",

}

Khazraj, H, Silva, FMFD , Bak, CL & Haji Bashi, M 2018, Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems. i Proceedings of the IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe., 8493814, IEEE Press, Palermo, Italy, s. 1-6, IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe, Palermo, Italien, 12/06/2018. https://doi.org/10.1109/EEEIC.2018.8493814

Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems. / Khazraj, Hesam; Silva, Filipe Miguel Faria da ; Bak, Claus Leth et al.
Proceedings of the IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe. Palermo, Italy: IEEE Press, 2018. s. 1-6 8493814.

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

TY - GEN

T1 - Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems

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AU - Bak, Claus Leth

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PY - 2018/6

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N2 - A daily operation of distribution network with the integration of wind power generation (WPG) is presented in this paper. In this study is considered reliability assessment of distribution network, which is one of the key indices to measure the impact of the renewable units' outage such as WPG. The proposed framework maximizes the distribution network operator (DNO) benefits in short-term scheduling model. A Markov model is proposed to a comprehensive reliability assessment of WPG and battery storage system (BSS). The properties of the main parts of the BSS and WPG and their effects on the distribution system reliability is also provided by the Markov model. A scenario-based method is employed to model the uncertainties of WPG and load value. The suggested model is successfully examined on the 9-bus standard system.

AB - A daily operation of distribution network with the integration of wind power generation (WPG) is presented in this paper. In this study is considered reliability assessment of distribution network, which is one of the key indices to measure the impact of the renewable units' outage such as WPG. The proposed framework maximizes the distribution network operator (DNO) benefits in short-term scheduling model. A Markov model is proposed to a comprehensive reliability assessment of WPG and battery storage system (BSS). The properties of the main parts of the BSS and WPG and their effects on the distribution system reliability is also provided by the Markov model. A scenario-based method is employed to model the uncertainties of WPG and load value. The suggested model is successfully examined on the 9-bus standard system.

KW - reliability assessment

KW - Markov model

KW - wind power generation

KW - battery storage

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DO - 10.1109/EEEIC.2018.8493814

M3 - Article in proceeding

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BT - Proceedings of the IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe

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Khazraj H, Silva FMFD , Bak CL, Haji Bashi M. Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems. I Proceedings of the IEEE 18th International Conference on Environment and Electrical Engineering and 2nd Industrial and Commercial Power Systems Europe. Palermo, Italy: IEEE Press. 2018. s. 1-6. 8493814 doi: 10.1109/EEEIC.2018.8493814

Markov Model of Renewable Resources for ‎Reliability Assessment of Distribution Systems

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