During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems

Xiaoman Zhang; Zhiran Wang; Yuxiong Huang; Yiran Li; Ji Qiao; Yun Su; Difei Sun; Gengfeng Li

doi:10.1109/EI259745.2023.10512496

During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems

Xiaoman Zhang
, Zhiran Wang
, Yuxiong Huang
, Yiran Li
, Ji Qiao
, Yun Su
, Difei Sun
, Gengfeng Li

School of Electrical Engineering

Xi'an Jiaotong University
State Grid Corporation of China
State Grid Shanghai Municipal Electric Power Company

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

1 Scopus citations

Abstract

To address the risks posed to the electric power system's safety and stability with extreme weather conditions and the high proportion of uncertain new energy sources, an optimization model for real-time scheduling of mobile energy storage to restore critical loads was proposed, based on an analysis of the resilience of the distribution system and the advantages of energy storage with minimal temporal and spatial constraints. The article presents a definition of resilience and a system resilience curve and establishes a multidimensional set of indicators for evaluating system resilience. While adhering to the operational constraints of the electrical grid, it optimizes the scheduling of mobile energy storage units and controls the switching states between grid lines. It uses mixed-integer linear programming to find the optimal energy storage unit scheduling plan with the goal of maximizing the recovery of critical loads in the system. Finally, the effectiveness of the proposed method in enhancing the resilience of the power system was validated through a case study of a node distribution system.

Original language	English
Title of host publication	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2575-2580
Number of pages	6
ISBN (Electronic)	9798350345094
DOIs	https://doi.org/10.1109/EI259745.2023.10512496
State	Published - 2023
Event	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 - Hangzhou, China Duration: 15 Dec 2023 → 18 Dec 2023

Publication series

Name	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

Conference

Conference	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023
Country/Territory	China
City	Hangzhou
Period	15/12/23 → 18/12/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

dispatch strategy
distribution system
extreme weather
mobile energy storage
resilience

Access to Document

10.1109/EI259745.2023.10512496

Cite this

Zhang, X., Wang, Z., Huang, Y., Li, Y., Qiao, J., Su, Y., Sun, D., & Li, G. (2023). During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems. In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023 (pp. 2575-2580). (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI259745.2023.10512496

Zhang, Xiaoman ; Wang, Zhiran ; Huang, Yuxiong et al. / During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 2575-2580 (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023).

@inproceedings{7fcf315f61904867b227b6ac052d344b,

title = "During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems",

abstract = "To address the risks posed to the electric power system's safety and stability with extreme weather conditions and the high proportion of uncertain new energy sources, an optimization model for real-time scheduling of mobile energy storage to restore critical loads was proposed, based on an analysis of the resilience of the distribution system and the advantages of energy storage with minimal temporal and spatial constraints. The article presents a definition of resilience and a system resilience curve and establishes a multidimensional set of indicators for evaluating system resilience. While adhering to the operational constraints of the electrical grid, it optimizes the scheduling of mobile energy storage units and controls the switching states between grid lines. It uses mixed-integer linear programming to find the optimal energy storage unit scheduling plan with the goal of maximizing the recovery of critical loads in the system. Finally, the effectiveness of the proposed method in enhancing the resilience of the power system was validated through a case study of a node distribution system.",

keywords = "dispatch strategy, distribution system, extreme weather, mobile energy storage, resilience",

author = "Xiaoman Zhang and Zhiran Wang and Yuxiong Huang and Yiran Li and Ji Qiao and Yun Su and Difei Sun and Gengfeng Li",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 ; Conference date: 15-12-2023 Through 18-12-2023",

year = "2023",

doi = "10.1109/EI259745.2023.10512496",

language = "英语",

series = "2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023",

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Zhang, X, Wang, Z, Huang, Y, Li, Y, Qiao, J, Su, Y, Sun, D & Li, G 2023, During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems. in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023, Institute of Electrical and Electronics Engineers Inc., pp. 2575-2580, 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023, Hangzhou, China, 15/12/23. https://doi.org/10.1109/EI259745.2023.10512496

During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems. / Zhang, Xiaoman; Wang, Zhiran; Huang, Yuxiong et al.
2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 2575-2580 (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023).

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

TY - GEN

T1 - During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems

AU - Zhang, Xiaoman

AU - Wang, Zhiran

AU - Huang, Yuxiong

AU - Li, Yiran

AU - Qiao, Ji

AU - Su, Yun

AU - Sun, Difei

AU - Li, Gengfeng

PY - 2023

Y1 - 2023

N2 - To address the risks posed to the electric power system's safety and stability with extreme weather conditions and the high proportion of uncertain new energy sources, an optimization model for real-time scheduling of mobile energy storage to restore critical loads was proposed, based on an analysis of the resilience of the distribution system and the advantages of energy storage with minimal temporal and spatial constraints. The article presents a definition of resilience and a system resilience curve and establishes a multidimensional set of indicators for evaluating system resilience. While adhering to the operational constraints of the electrical grid, it optimizes the scheduling of mobile energy storage units and controls the switching states between grid lines. It uses mixed-integer linear programming to find the optimal energy storage unit scheduling plan with the goal of maximizing the recovery of critical loads in the system. Finally, the effectiveness of the proposed method in enhancing the resilience of the power system was validated through a case study of a node distribution system.

AB - To address the risks posed to the electric power system's safety and stability with extreme weather conditions and the high proportion of uncertain new energy sources, an optimization model for real-time scheduling of mobile energy storage to restore critical loads was proposed, based on an analysis of the resilience of the distribution system and the advantages of energy storage with minimal temporal and spatial constraints. The article presents a definition of resilience and a system resilience curve and establishes a multidimensional set of indicators for evaluating system resilience. While adhering to the operational constraints of the electrical grid, it optimizes the scheduling of mobile energy storage units and controls the switching states between grid lines. It uses mixed-integer linear programming to find the optimal energy storage unit scheduling plan with the goal of maximizing the recovery of critical loads in the system. Finally, the effectiveness of the proposed method in enhancing the resilience of the power system was validated through a case study of a node distribution system.

KW - dispatch strategy

KW - distribution system

KW - extreme weather

KW - mobile energy storage

KW - resilience

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M3 - 会议稿件

AN - SCOPUS:85194181882

T3 - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

SP - 2575

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BT - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

Y2 - 15 December 2023 through 18 December 2023

ER -

Zhang X, Wang Z, Huang Y, Li Y, Qiao J, Su Y et al. During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems. In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 2575-2580. (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023). doi: 10.1109/EI259745.2023.10512496

During-Event Mobile Energy Storage Real-Time Dispatching Method of Resilient Distribution Systems

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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