Statistical assessment of the impact of renewable energy sources on transient stability

Juan D. Morales; Jovica V. Milanović; Panagiotis N. Papadopoulos

doi:10.1109/ISGTEurope.2018.8571762

Statistical assessment of the impact of renewable energy sources on transient stability

Juan D. Morales, Jovica V. Milanović, Panagiotis N. Papadopoulos

Electronic And Electrical Engineering

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

3 Citations (Scopus)

16 Downloads (Pure)

Abstract

This paper studies the impact of penetration of Renewable Energy Sources (RES) on the dynamic behavior of large power systems. Statistical analysis of the number of instabilities and the time of occurrence of loss of synchronism in the network was performed following large number of Monte Carlo simulations and considering high degrees of uncertainty. A criterion for instability detection is introduced. Conclusions are drawn with respect to the influence of RES on transient stability, the identification of critical generators and how these generators and their behavior may change for a wide range of RES penetration levels.

Original language	English
Title of host publication	2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Number of pages	6
ISBN (Electronic)	9781538645055
DOIs	https://doi.org/10.1109/ISGTEurope.2018.8571762
Publication status	Published - 10 Dec 2018
Event	2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 - Sarajevo, Bosnia and Herzegovina Duration: 21 Oct 2018 → 25 Oct 2018

Conference

Conference	2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018
Country/Territory	Bosnia and Herzegovina
City	Sarajevo
Period	21/10/18 → 25/10/18

Keywords

corrective control
renewable energy sources
statistical transient stability assessment
time to instability

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10.1109/ISGTEurope.2018.8571762

Morales-etal-ISGT2018-Statistical-assessment-of-the-impact-of-renewable-energy-sourcesAccepted author manuscript, 855 KB

Cite this

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abstract = "This paper studies the impact of penetration of Renewable Energy Sources (RES) on the dynamic behavior of large power systems. Statistical analysis of the number of instabilities and the time of occurrence of loss of synchronism in the network was performed following large number of Monte Carlo simulations and considering high degrees of uncertainty. A criterion for instability detection is introduced. Conclusions are drawn with respect to the influence of RES on transient stability, the identification of critical generators and how these generators and their behavior may change for a wide range of RES penetration levels.",

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author = "Morales, {Juan D.} and Milanovi{\'c}, {Jovica V.} and Papadopoulos, {Panagiotis N.}",

note = "{\textcopyright} 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018 ; Conference date: 21-10-2018 Through 25-10-2018",

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Morales, JD, Milanović, JV & Papadopoulos, PN 2018, Statistical assessment of the impact of renewable energy sources on transient stability. in 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)., 8571762, IEEE, Piscataway, NJ, 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2018, Sarajevo, Bosnia and Herzegovina, 21/10/18. https://doi.org/10.1109/ISGTEurope.2018.8571762

Statistical assessment of the impact of renewable energy sources on transient stability. / Morales, Juan D.; Milanović, Jovica V.; Papadopoulos, Panagiotis N.

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe). Piscataway, NJ : IEEE, 2018. 8571762.

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

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AU - Milanović, Jovica V.

AU - Papadopoulos, Panagiotis N.

N1 - © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2018/12/10

Y1 - 2018/12/10

N2 - This paper studies the impact of penetration of Renewable Energy Sources (RES) on the dynamic behavior of large power systems. Statistical analysis of the number of instabilities and the time of occurrence of loss of synchronism in the network was performed following large number of Monte Carlo simulations and considering high degrees of uncertainty. A criterion for instability detection is introduced. Conclusions are drawn with respect to the influence of RES on transient stability, the identification of critical generators and how these generators and their behavior may change for a wide range of RES penetration levels.

AB - This paper studies the impact of penetration of Renewable Energy Sources (RES) on the dynamic behavior of large power systems. Statistical analysis of the number of instabilities and the time of occurrence of loss of synchronism in the network was performed following large number of Monte Carlo simulations and considering high degrees of uncertainty. A criterion for instability detection is introduced. Conclusions are drawn with respect to the influence of RES on transient stability, the identification of critical generators and how these generators and their behavior may change for a wide range of RES penetration levels.

KW - corrective control

KW - renewable energy sources

KW - statistical transient stability assessment

KW - time to instability

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ER -

Statistical assessment of the impact of renewable energy sources on transient stability

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