A Resilience Management Method for Power Outages with Dynamic Prioritization of Consumer Resources

To address power outages, cooperative utilization of consumer-side resources through power sharing and exchange is expected to enhance resilience. In our previous study, we proposed the multilevel resource priority management method that considers the use of individual resources and incorporates load suppression. Building on this foundation, this study proposes an extended resilience management method that dynamically prioritizes consumer resources based on the state of consumer resilience. In this method, the tradeoff between consumer priority and mutual-support priority is defined as a multistage dynamical priority management model and formulated as a mixed-integer linear programming optimization problem. As a numerical example, the simulation of a consumer model with 512 households representing the size of one feeder in a distribution system was conducted. Furthermore, an equality index was introduced to assess variations in resilience services between each consumer. Consequently, the relationship between the priority management model, cooperative group size, and equality index was clarified.

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Publication Details

Published
2025-02-15
DOI
https://doi.org/10.1109/cpeee64598.2025.10987335
Citations
1
Primary Topic
Risk and Safety Analysis
Type
article
Field-Weighted Citation Impact
1.40
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A Resilience Management Method for Power Outages with Dynamic Prioritization of Consumer Resources

Yasuhiro Hayashi, Yutaka Iino
1 citations
Risk and Safety Analysis
1.40
article

A Resilience Management Method for Power Outages with Dynamic Prioritization of Consumer Resources

Yasuhiro Hayashi, Yutaka Iino
article en
1 citations

Abstract

To address power outages, cooperative utilization of consumer-side resources through power sharing and exchange is expected to enhance resilience. In our previous study, we proposed the multilevel resource priority management method that considers the use of individual resources and incorporates load suppression. Building on this foundation, this study proposes an extended resilience management method that dynamically prioritizes consumer resources based on the state of consumer resilience. In this method, the tradeoff between consumer priority and mutual-support priority is defined as a multistage dynamical priority management model and formulated as a mixed-integer linear programming optimization problem. As a numerical example, the simulation of a consumer model with 512 households representing the size of one feeder in a distribution system was conducted. Furthermore, an equality index was introduced to assess variations in resilience services between each consumer. Consequently, the relationship between the priority management model, cooperative group size, and equality index was clarified.

Waseda University (JP)
Openalex Percentile: Top 17%
Risk and Safety Analysis
1.40
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