Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters

Sijia Tang; Chen Chen

doi:10.1109/CIEEC54735.2022.9846560

Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters

Sijia Tang
, Chen Chen

School of Electrical Engineering

Xi'an Jiaotong University

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

1 Scopus citations

Abstract

With the increasing frequency and intensity of extreme events, the operation of power systems is seriously threatened. In the context of emerging resilient power grid, it is very important to improve the rapid recovery ability of power grid through resilient technology for the extreme disaster recovery of distribution systems. This paper proposes a multi-time step distribution system recovery method based on fault information acquisition after the blackout due to a natural disaster. The distribution system adopts a distributed multiagent coordination scheme for the communication requirements, and through the recovery scheme to generate a series of control actions to guide local distributed generations (DG) dynamically form microgrids to facilitate power supply continuity. In this paper, the problem is expressed as a mixed-integer linear programming (MILP) model to maximize the critical load pickup while satisfying self-sufficiency, topology, and operational constraints, and its effectiveness is evaluated via the modified IEEE 13-node test feeder.

Original language	English
Title of host publication	Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3716-3721
Number of pages	6
ISBN (Electronic)	9781665411042
DOIs	https://doi.org/10.1109/CIEEC54735.2022.9846560
State	Published - 2022
Event	5th IEEE International Electrical and Energy Conference, CIEEC 2022 - Nanjing, China Duration: 27 May 2022 → 29 May 2022

Publication series

Name	Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022

Conference

Conference	5th IEEE International Electrical and Energy Conference, CIEEC 2022
Country/Territory	China
City	Nanjing
Period	27/05/22 → 29/05/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

distribution system
microgrids
mixed-integer linear program (MILP)
multi-time step
multiagent coordination
resilience
restoration sequence

Access to Document

10.1109/CIEEC54735.2022.9846560

Cite this

Tang, S., & Chen, C. (2022). Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters. In Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022 (pp. 3716-3721). (Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIEEC54735.2022.9846560

Tang, Sijia ; Chen, Chen. / Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters. Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 3716-3721 (Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022).

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title = "Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters",

abstract = "With the increasing frequency and intensity of extreme events, the operation of power systems is seriously threatened. In the context of emerging resilient power grid, it is very important to improve the rapid recovery ability of power grid through resilient technology for the extreme disaster recovery of distribution systems. This paper proposes a multi-time step distribution system recovery method based on fault information acquisition after the blackout due to a natural disaster. The distribution system adopts a distributed multiagent coordination scheme for the communication requirements, and through the recovery scheme to generate a series of control actions to guide local distributed generations (DG) dynamically form microgrids to facilitate power supply continuity. In this paper, the problem is expressed as a mixed-integer linear programming (MILP) model to maximize the critical load pickup while satisfying self-sufficiency, topology, and operational constraints, and its effectiveness is evaluated via the modified IEEE 13-node test feeder.",

keywords = "distribution system, microgrids, mixed-integer linear program (MILP), multi-time step, multiagent coordination, resilience, restoration sequence",

author = "Sijia Tang and Chen Chen",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 5th IEEE International Electrical and Energy Conference, CIEEC 2022 ; Conference date: 27-05-2022 Through 29-05-2022",

year = "2022",

doi = "10.1109/CIEEC54735.2022.9846560",

language = "英语",

series = "Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022",

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Tang, S & Chen, C 2022, Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters. in Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022. Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022, Institute of Electrical and Electronics Engineers Inc., pp. 3716-3721, 5th IEEE International Electrical and Energy Conference, CIEEC 2022, Nanjing, China, 27/05/22. https://doi.org/10.1109/CIEEC54735.2022.9846560

Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters. / Tang, Sijia; Chen, Chen.
Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 3716-3721 (Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022).

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

TY - GEN

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AU - Tang, Sijia

AU - Chen, Chen

PY - 2022

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N2 - With the increasing frequency and intensity of extreme events, the operation of power systems is seriously threatened. In the context of emerging resilient power grid, it is very important to improve the rapid recovery ability of power grid through resilient technology for the extreme disaster recovery of distribution systems. This paper proposes a multi-time step distribution system recovery method based on fault information acquisition after the blackout due to a natural disaster. The distribution system adopts a distributed multiagent coordination scheme for the communication requirements, and through the recovery scheme to generate a series of control actions to guide local distributed generations (DG) dynamically form microgrids to facilitate power supply continuity. In this paper, the problem is expressed as a mixed-integer linear programming (MILP) model to maximize the critical load pickup while satisfying self-sufficiency, topology, and operational constraints, and its effectiveness is evaluated via the modified IEEE 13-node test feeder.

AB - With the increasing frequency and intensity of extreme events, the operation of power systems is seriously threatened. In the context of emerging resilient power grid, it is very important to improve the rapid recovery ability of power grid through resilient technology for the extreme disaster recovery of distribution systems. This paper proposes a multi-time step distribution system recovery method based on fault information acquisition after the blackout due to a natural disaster. The distribution system adopts a distributed multiagent coordination scheme for the communication requirements, and through the recovery scheme to generate a series of control actions to guide local distributed generations (DG) dynamically form microgrids to facilitate power supply continuity. In this paper, the problem is expressed as a mixed-integer linear programming (MILP) model to maximize the critical load pickup while satisfying self-sufficiency, topology, and operational constraints, and its effectiveness is evaluated via the modified IEEE 13-node test feeder.

KW - distribution system

KW - microgrids

KW - mixed-integer linear program (MILP)

KW - multi-time step

KW - multiagent coordination

KW - resilience

KW - restoration sequence

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BT - Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Electrical and Energy Conference, CIEEC 2022

Y2 - 27 May 2022 through 29 May 2022

ER -

Tang S, Chen C. Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters. In Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 3716-3721. (Proceedings of 2022 IEEE 5th International Electrical and Energy Conference, CIEEC 2022). doi: 10.1109/CIEEC54735.2022.9846560

Multi-Time Step Distribution System Recovery Method Based on Fault Information Acquisition After Natural Disasters

Abstract

Publication series

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UN SDGs

Keywords

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