Cascading Failure Propogation with Dynamic Load Variations: A Simulation and Mitigation Framework

Yafei Yang; Qiaozhu Zhai; Xiaohong Guan; Lei Wu

doi:10.1109/PESGM40551.2019.8974104

Cascading Failure Propogation with Dynamic Load Variations: A Simulation and Mitigation Framework

Yafei Yang
, Qiaozhu Zhai
, Xiaohong Guan
, Lei Wu

Department of Electrical and Computer Engineering

Xi'an Jiaotong University

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

Abstract

This paper presents a cascading failure simulation algorithm with a novel stage division method, while considering dynamic load variation during the cascading propagation process. By accurately estimating the duration of each cascading failure stage, a receding-horizon optimal control model is further presented to mitigate the effects of severe line-overload disturbances and prevent the propagation of outages in electrical power systems. Specifically, the mitigation strategy adaptively adjusts branch flows by re-dispatching generation and load shedding, while taking into account ramping limits and available time duration to determine optimal control actions of each stage. Numerical simulations on the IEEE 118-bus system illustrate effects of the proposed algorithms with load variation and mitigation control strategy.

Original language	English
Title of host publication	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
ISBN (Electronic)	9781728119816
DOIs	https://doi.org/10.1109/PESGM40551.2019.8974104
State	Published - Aug 2019
Event	2019 IEEE Power and Energy Society General Meeting, PESGM 2019 - Atlanta, United States Duration: 4 Aug 2019 → 8 Aug 2019

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2019-August
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2019 IEEE Power and Energy Society General Meeting, PESGM 2019
Country/Territory	United States
City	Atlanta
Period	4/08/19 → 8/08/19

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

-Cascading failure
mitigation control
power systems reliability

Access to Document

10.1109/PESGM40551.2019.8974104

Cite this

@inproceedings{746dbf06de9148e2abc496eea64a7597,

title = "Cascading Failure Propogation with Dynamic Load Variations: A Simulation and Mitigation Framework",

abstract = "This paper presents a cascading failure simulation algorithm with a novel stage division method, while considering dynamic load variation during the cascading propagation process. By accurately estimating the duration of each cascading failure stage, a receding-horizon optimal control model is further presented to mitigate the effects of severe line-overload disturbances and prevent the propagation of outages in electrical power systems. Specifically, the mitigation strategy adaptively adjusts branch flows by re-dispatching generation and load shedding, while taking into account ramping limits and available time duration to determine optimal control actions of each stage. Numerical simulations on the IEEE 118-bus system illustrate effects of the proposed algorithms with load variation and mitigation control strategy.",

keywords = "-Cascading failure, mitigation control, power systems reliability",

author = "Yafei Yang and Qiaozhu Zhai and Xiaohong Guan and Lei Wu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Power and Energy Society General Meeting, PESGM 2019 ; Conference date: 04-08-2019 Through 08-08-2019",

year = "2019",

month = aug,

doi = "10.1109/PESGM40551.2019.8974104",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

booktitle = "2019 IEEE Power and Energy Society General Meeting, PESGM 2019",

}

Yang, Y, Zhai, Q, Guan, X & Wu, L 2019, Cascading Failure Propogation with Dynamic Load Variations: A Simulation and Mitigation Framework. in 2019 IEEE Power and Energy Society General Meeting, PESGM 2019., 8974104, IEEE Power and Energy Society General Meeting, vol. 2019-August, 2019 IEEE Power and Energy Society General Meeting, PESGM 2019, Atlanta, United States, 4/08/19. https://doi.org/10.1109/PESGM40551.2019.8974104

Cascading Failure Propogation with Dynamic Load Variations: A Simulation and Mitigation Framework. / Yang, Yafei; Zhai, Qiaozhu; Guan, Xiaohong et al.
2019 IEEE Power and Energy Society General Meeting, PESGM 2019. 2019. 8974104 (IEEE Power and Energy Society General Meeting; Vol. 2019-August).

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

TY - GEN

T1 - Cascading Failure Propogation with Dynamic Load Variations

T2 - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019

AU - Yang, Yafei

AU - Zhai, Qiaozhu

AU - Guan, Xiaohong

AU - Wu, Lei

PY - 2019/8

Y1 - 2019/8

N2 - This paper presents a cascading failure simulation algorithm with a novel stage division method, while considering dynamic load variation during the cascading propagation process. By accurately estimating the duration of each cascading failure stage, a receding-horizon optimal control model is further presented to mitigate the effects of severe line-overload disturbances and prevent the propagation of outages in electrical power systems. Specifically, the mitigation strategy adaptively adjusts branch flows by re-dispatching generation and load shedding, while taking into account ramping limits and available time duration to determine optimal control actions of each stage. Numerical simulations on the IEEE 118-bus system illustrate effects of the proposed algorithms with load variation and mitigation control strategy.

AB - This paper presents a cascading failure simulation algorithm with a novel stage division method, while considering dynamic load variation during the cascading propagation process. By accurately estimating the duration of each cascading failure stage, a receding-horizon optimal control model is further presented to mitigate the effects of severe line-overload disturbances and prevent the propagation of outages in electrical power systems. Specifically, the mitigation strategy adaptively adjusts branch flows by re-dispatching generation and load shedding, while taking into account ramping limits and available time duration to determine optimal control actions of each stage. Numerical simulations on the IEEE 118-bus system illustrate effects of the proposed algorithms with load variation and mitigation control strategy.

KW - -Cascading failure

KW - mitigation control

KW - power systems reliability

UR - https://www.scopus.com/pages/publications/85079039565

UR - https://www.scopus.com/pages/publications/85079039565#tab=citedBy

U2 - 10.1109/PESGM40551.2019.8974104

DO - 10.1109/PESGM40551.2019.8974104

M3 - Conference contribution

AN - SCOPUS:85079039565

T3 - IEEE Power and Energy Society General Meeting

BT - 2019 IEEE Power and Energy Society General Meeting, PESGM 2019

Y2 - 4 August 2019 through 8 August 2019

ER -

Cascading Failure Propogation with Dynamic Load Variations: A Simulation and Mitigation Framework

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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