Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power

Qihuan Dong; Jiaojiao Dong; Lin Zhu; Yunting Liu; Paychuda Kritprajun; Leon M. Tolbert; Stuart Laval; Kevin Schneider; Yilu Liu

doi:10.1109/PESGM46819.2021.9637914

Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power

Qihuan Dong, Jiaojiao Dong, Lin Zhu, Yunting Liu, Paychuda Kritprajun, Leon M. Tolbert, Stuart Laval, Kevin Schneider, Yilu Liu

Electrical Engineering

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

4 Scopus citations

Abstract

Increasing the resiliency of distribution systems through the use of advanced controls and the engagement of distributed energy resources (DERs) has been gaining attention. However, there is no available tool to evaluate resilience considering advanced technology in the distribution grid. This paper presents a method to quantitatively evaluate the resilience improvement of a distribution system after deploying self-healing control, microgrid and transactive energy systems. The proposed method is based on the time-sequential Monte Carlo simulation and considers the complexity of a real distribution system. Additionally, a heuristic algorithm is developed to find a practical service restoration strategy based on the three-phase power flow constraints and topology constraints. Characterized by its simplified computation process, the proposed algorithm applies to the long-term resilience evaluation. Case study on a real distribution system shows that the resilience of both the critical load and the system is greatly improved.

Original language	English (US)
Title of host publication	2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665405072
DOIs	https://doi.org/10.1109/PESGM46819.2021.9637914
State	Published - 2021
Event	2021 IEEE Power and Energy Society General Meeting, PESGM 2021 - Washington, United States Duration: Jul 26 2021 → Jul 29 2021

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2021-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2021 IEEE Power and Energy Society General Meeting, PESGM 2021
Country/Territory	United States
City	Washington
Period	7/26/21 → 7/29/21

All Science Journal Classification (ASJC) codes

Energy Engineering and Power Technology
Nuclear Energy and Engineering
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering

UN SDGs

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

Access to Document

10.1109/PESGM46819.2021.9637914

Cite this

Dong, Q., Dong, J., Zhu, L., Liu, Y., Kritprajun, P., Tolbert, L. M., Laval, S., Schneider, K., & Liu, Y. (2021). Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power. In 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 (IEEE Power and Energy Society General Meeting; Vol. 2021-July). IEEE Computer Society. https://doi.org/10.1109/PESGM46819.2021.9637914

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title = "Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power",

abstract = "Increasing the resiliency of distribution systems through the use of advanced controls and the engagement of distributed energy resources (DERs) has been gaining attention. However, there is no available tool to evaluate resilience considering advanced technology in the distribution grid. This paper presents a method to quantitatively evaluate the resilience improvement of a distribution system after deploying self-healing control, microgrid and transactive energy systems. The proposed method is based on the time-sequential Monte Carlo simulation and considers the complexity of a real distribution system. Additionally, a heuristic algorithm is developed to find a practical service restoration strategy based on the three-phase power flow constraints and topology constraints. Characterized by its simplified computation process, the proposed algorithm applies to the long-term resilience evaluation. Case study on a real distribution system shows that the resilience of both the critical load and the system is greatly improved.",

author = "Qihuan Dong and Jiaojiao Dong and Lin Zhu and Yunting Liu and Paychuda Kritprajun and Tolbert, {Leon M.} and Stuart Laval and Kevin Schneider and Yilu Liu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Power and Energy Society General Meeting, PESGM 2021 ; Conference date: 26-07-2021 Through 29-07-2021",

year = "2021",

doi = "10.1109/PESGM46819.2021.9637914",

language = "English (US)",

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

publisher = "IEEE Computer Society",

booktitle = "2021 IEEE Power and Energy Society General Meeting, PESGM 2021",

address = "United States",

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Dong, Q, Dong, J, Zhu, L, Liu, Y, Kritprajun, P, Tolbert, LM, Laval, S, Schneider, K & Liu, Y 2021, Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power. in 2021 IEEE Power and Energy Society General Meeting, PESGM 2021. IEEE Power and Energy Society General Meeting, vol. 2021-July, IEEE Computer Society, 2021 IEEE Power and Energy Society General Meeting, PESGM 2021, Washington, United States, 7/26/21. https://doi.org/10.1109/PESGM46819.2021.9637914

Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power. / Dong, Qihuan; Dong, Jiaojiao; Zhu, Lin et al.
2021 IEEE Power and Energy Society General Meeting, PESGM 2021. IEEE Computer Society, 2021. (IEEE Power and Energy Society General Meeting; Vol. 2021-July).

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

TY - GEN

T1 - Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power

AU - Dong, Qihuan

AU - Dong, Jiaojiao

AU - Zhu, Lin

AU - Liu, Yunting

AU - Kritprajun, Paychuda

AU - Tolbert, Leon M.

AU - Laval, Stuart

AU - Schneider, Kevin

AU - Liu, Yilu

PY - 2021

Y1 - 2021

N2 - Increasing the resiliency of distribution systems through the use of advanced controls and the engagement of distributed energy resources (DERs) has been gaining attention. However, there is no available tool to evaluate resilience considering advanced technology in the distribution grid. This paper presents a method to quantitatively evaluate the resilience improvement of a distribution system after deploying self-healing control, microgrid and transactive energy systems. The proposed method is based on the time-sequential Monte Carlo simulation and considers the complexity of a real distribution system. Additionally, a heuristic algorithm is developed to find a practical service restoration strategy based on the three-phase power flow constraints and topology constraints. Characterized by its simplified computation process, the proposed algorithm applies to the long-term resilience evaluation. Case study on a real distribution system shows that the resilience of both the critical load and the system is greatly improved.

AB - Increasing the resiliency of distribution systems through the use of advanced controls and the engagement of distributed energy resources (DERs) has been gaining attention. However, there is no available tool to evaluate resilience considering advanced technology in the distribution grid. This paper presents a method to quantitatively evaluate the resilience improvement of a distribution system after deploying self-healing control, microgrid and transactive energy systems. The proposed method is based on the time-sequential Monte Carlo simulation and considers the complexity of a real distribution system. Additionally, a heuristic algorithm is developed to find a practical service restoration strategy based on the three-phase power flow constraints and topology constraints. Characterized by its simplified computation process, the proposed algorithm applies to the long-term resilience evaluation. Case study on a real distribution system shows that the resilience of both the critical load and the system is greatly improved.

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ER -

Resilience Evaluation of Advanced Distribution Grids with Self-healing Control, Microgrid and Transactable Reactive Power

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

UN SDGs

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