Non-heuristic Identification of the Optimal Number of Oscillation Patterns in Uncertain Power Systems

Juan Morales Alvarado; Jovica V. Milanovic

doi:10.1109/ISGT-Europe47291.2020.9248958

Non-heuristic Identification of the Optimal Number of Oscillation Patterns in Uncertain Power Systems

Juan Morales Alvarado, Jovica V. Milanovic

EEE - Academic & Research

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Abstract

This paper introduces a non-heuristic methodology using Hierarchical Clustering (HC) for identifying the optimal number of oscillation patterns in uncertain power systems due to transient stability phenomena, for subsequent control and stabilization. The HC application parameters are statistically defined after comparing the quality of different clustering partitions using appropriate indicators, so that the most suitable patterns can be automatically obtained. The methodology is illustrated on a modified IEEE 68 bus NETS-NYPS test network with renewable energy sources and realistically modelled uncertainties, resulting in the identification of a reduced (optimal) number of unstable generator patterns which are fully representative of the overall multi-machine transient behavior of the system.

Original language	English
Title of host publication	2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Pages	424-428
Number of pages	5
ISBN (Electronic)	9781728171005
DOIs	https://doi.org/10.1109/ISGT-Europe47291.2020.9248958
Publication status	Published - 26 Oct 2020
Event	2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) - Virtual, The Hague, Netherlands Duration: 26 Oct 2020 → 28 Oct 2020 https://ieee-isgt-europe.org

Publication series

Name	IEEE PES Innovative Smart Grid Technologies Conference Europe
Volume	2020-October

Conference

Conference	2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Abbreviated title	ISGT Europe 2020
Country/Territory	Netherlands
City	The Hague
Period	26/10/20 → 28/10/20
Internet address	https://ieee-isgt-europe.org

Keywords

Hierarchical clustering
Renewables
Statistical analysis
Transient stability
Uncertainties

UN SDGs

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

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10.1109/ISGT-Europe47291.2020.9248958

NHIONOPUPS_FINAL_PUREAccepted author manuscript, 830 KB

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Morales Alvarado, J., & Milanovic, J. V. (2020). Non-heuristic Identification of the Optimal Number of Oscillation Patterns in Uncertain Power Systems. In 2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) (pp. 424-428). Article 9248958 (IEEE PES Innovative Smart Grid Technologies Conference Europe; Vol. 2020-October). https://doi.org/10.1109/ISGT-Europe47291.2020.9248958

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abstract = "This paper introduces a non-heuristic methodology using Hierarchical Clustering (HC) for identifying the optimal number of oscillation patterns in uncertain power systems due to transient stability phenomena, for subsequent control and stabilization. The HC application parameters are statistically defined after comparing the quality of different clustering partitions using appropriate indicators, so that the most suitable patterns can be automatically obtained. The methodology is illustrated on a modified IEEE 68 bus NETS-NYPS test network with renewable energy sources and realistically modelled uncertainties, resulting in the identification of a reduced (optimal) number of unstable generator patterns which are fully representative of the overall multi-machine transient behavior of the system.",

keywords = "Hierarchical clustering, Renewables, Statistical analysis, Transient stability, Uncertainties",

author = "{Morales Alvarado}, Juan and Milanovic, {Jovica V.}",

note = "Funding Information: This work was supported by the PhD Scholarship Award provided by the Department of Electrical and Electronic Engineering of The University of Manchester. Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), ISGT Europe 2020 ; Conference date: 26-10-2020 Through 28-10-2020",

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doi = "10.1109/ISGT-Europe47291.2020.9248958",

language = "English",

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Morales Alvarado, J & Milanovic, JV 2020, Non-heuristic Identification of the Optimal Number of Oscillation Patterns in Uncertain Power Systems. in 2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)., 9248958, IEEE PES Innovative Smart Grid Technologies Conference Europe, vol. 2020-October, pp. 424-428, 2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), The Hague, Netherlands, 26/10/20. https://doi.org/10.1109/ISGT-Europe47291.2020.9248958

Non-heuristic Identification of the Optimal Number of Oscillation Patterns in Uncertain Power Systems. / Morales Alvarado, Juan; Milanovic, Jovica V.
2020 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). 2020. p. 424-428 9248958 (IEEE PES Innovative Smart Grid Technologies Conference Europe; Vol. 2020-October).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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T1 - Non-heuristic Identification of the Optimal Number of Oscillation Patterns in Uncertain Power Systems

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AU - Milanovic, Jovica V.

N1 - Funding Information: This work was supported by the PhD Scholarship Award provided by the Department of Electrical and Electronic Engineering of The University of Manchester. Publisher Copyright: © 2020 IEEE.

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N2 - This paper introduces a non-heuristic methodology using Hierarchical Clustering (HC) for identifying the optimal number of oscillation patterns in uncertain power systems due to transient stability phenomena, for subsequent control and stabilization. The HC application parameters are statistically defined after comparing the quality of different clustering partitions using appropriate indicators, so that the most suitable patterns can be automatically obtained. The methodology is illustrated on a modified IEEE 68 bus NETS-NYPS test network with renewable energy sources and realistically modelled uncertainties, resulting in the identification of a reduced (optimal) number of unstable generator patterns which are fully representative of the overall multi-machine transient behavior of the system.

AB - This paper introduces a non-heuristic methodology using Hierarchical Clustering (HC) for identifying the optimal number of oscillation patterns in uncertain power systems due to transient stability phenomena, for subsequent control and stabilization. The HC application parameters are statistically defined after comparing the quality of different clustering partitions using appropriate indicators, so that the most suitable patterns can be automatically obtained. The methodology is illustrated on a modified IEEE 68 bus NETS-NYPS test network with renewable energy sources and realistically modelled uncertainties, resulting in the identification of a reduced (optimal) number of unstable generator patterns which are fully representative of the overall multi-machine transient behavior of the system.

KW - Hierarchical clustering

KW - Renewables

KW - Statistical analysis

KW - Transient stability

KW - Uncertainties

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T3 - IEEE PES Innovative Smart Grid Technologies Conference Europe

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ER -

Non-heuristic Identification of the Optimal Number of Oscillation Patterns in Uncertain Power Systems

Abstract

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Keywords

UN SDGs

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