Resilience Enhancement Method for Distribution Networks Based on Multi-Agent Interest Equilibrium

This paper proposes a resilience enhancement method for distribution networks that comprehensively considers the equilibrium of multi-agent interests, aiming to improve the resilience of distribution networks under extreme events. The method makes full use of user-level Integrated Energy Systems (IES) to enhance the resilience of the distribution network. First, the paper investigates the game relationships between IES aggregators, IES, and the distribution network, fully considering the interests and demands of each participant. To address the power shortfall issue in the distribution network during extreme events, a bi-level Stackelberg game model considering multi-agent interests is established. Second, the paper applies an improved ADMM algorithm to solve the complex game problem. The improved ADMM algorithm proposed in this paper can yield results in a shorter time, with a 39.5% improvement in computation speed, making it more efficient and advantageous in solving the problem presented in this paper. Finally, through case study analysis, it is demonstrated that the proposed method can significantly improve the resilience of the distribution network under extreme events while satisfying the interests of all agents.

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Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1109/iseae64934.2025.11042228
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Resilience Enhancement Method for Distribution Networks Based on Multi-Agent Interest Equilibrium

Yujia Tang, Yuyan Liu, Liangping Tu, Yichen Zhou et al.
Infrastructure Resilience and Vulnerability Analysis
article

Resilience Enhancement Method for Distribution Networks Based on Multi-Agent Interest Equilibrium

Yujia Tang, Yuyan Liu, Liangping Tu, Yichen Zhou, Jiawei Yu, R. Qian
article en

Abstract

This paper proposes a resilience enhancement method for distribution networks that comprehensively considers the equilibrium of multi-agent interests, aiming to improve the resilience of distribution networks under extreme events. The method makes full use of user-level Integrated Energy Systems (IES) to enhance the resilience of the distribution network. First, the paper investigates the game relationships between IES aggregators, IES, and the distribution network, fully considering the interests and demands of each participant. To address the power shortfall issue in the distribution network during extreme events, a bi-level Stackelberg game model considering multi-agent interests is established. Second, the paper applies an improved ADMM algorithm to solve the complex game problem. The improved ADMM algorithm proposed in this paper can yield results in a shorter time, with a 39.5% improvement in computation speed, making it more efficient and advantageous in solving the problem presented in this paper. Finally, through case study analysis, it is demonstrated that the proposed method can significantly improve the resilience of the distribution network under extreme events while satisfying the interests of all agents.

North China Electric Power University (CN), China Southern Power Grid (China) (CN)
China Southern Power Grid
Climate action
Openalex Percentile: Top 85%
Infrastructure Resilience and Vulnerability Analysis
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