2022
DOI: 10.1049/esi2.12067
|View full text |Cite
|
Sign up to set email alerts
|

Resilience assessment methodologies and enhancement strategies of multi‐energy cyber‐physical systems of the distribution network

Abstract: Natural disasters and cyber intrusions threaten the normal operation of the critical Multi‐Energy Systems (MESs) infrastructures. There is still no universally‐accepted definition of MESs resilience under the integration of cyber and physical, and lack of a widely accepted methodology to quantify and assess the resilience in MESs. Hence, this paper introduces an extensive review of the state‐of‐the‐art research of power systems’ resilience. Then, this work proposes the definition of the Multi‐Energy Cyber‐Phys… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
5
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 12 publications
(5 citation statements)
references
References 135 publications
0
5
0
Order By: Relevance
“…In terms of the disaster occurrence time, resilience metrics are categorized into three groups: (1) resilience-based planning as long-term metrics enhancing power systems' resilience such as power system management and hardware designs, network reconstruction schemes, and underground cables [44], (2) resilience-based response [45] as short-term preventive actions like emergency and day-ahead measures, and (3) resilience-based restoration as short-term measures performing all system recovery actions [46]. To effectively gauge the resiliency of the power systems, many studies investigated the resilience evaluation metrics and planning approaches under the following two qualitative [47,48] and quantitative categories [49][50][51]. Quantitative analysis, typically deriving from sources like historical data, design criteria, climate models, or lab tests, alongside qualitative evaluations, are based on the survey from experts, managers, operators, community leaders, and public decision-makers [52].…”
Section: Resilience Evaluation Of Power Systemmentioning
confidence: 99%
See 1 more Smart Citation
“…In terms of the disaster occurrence time, resilience metrics are categorized into three groups: (1) resilience-based planning as long-term metrics enhancing power systems' resilience such as power system management and hardware designs, network reconstruction schemes, and underground cables [44], (2) resilience-based response [45] as short-term preventive actions like emergency and day-ahead measures, and (3) resilience-based restoration as short-term measures performing all system recovery actions [46]. To effectively gauge the resiliency of the power systems, many studies investigated the resilience evaluation metrics and planning approaches under the following two qualitative [47,48] and quantitative categories [49][50][51]. Quantitative analysis, typically deriving from sources like historical data, design criteria, climate models, or lab tests, alongside qualitative evaluations, are based on the survey from experts, managers, operators, community leaders, and public decision-makers [52].…”
Section: Resilience Evaluation Of Power Systemmentioning
confidence: 99%
“…Qualitative resilience metrics assess the system's resilience by a set of descriptive metrics such as high, medium, and low accessibility, as well as availability [47], and are generally categorized into conceptual frameworks and semi-quantitative metrics. Conceptual frameworks study the fundamental resilience components including absorption, adaptive, and recovery capacity [48].…”
Section: Qualitative Resilience Metricsmentioning
confidence: 99%
“…The theoretical model of cyber-physical distribution network is associated with modeling the incidence matrix and analyzing network topology. According to a network graph theory and matrix operation model, the model of a physical information network is constructed as follows 2 ; where, is the set of cyber-physical DN nodes. is the connection matrix between two nodes, is the connection state between node and node , when there's a link between node and node , otherwise .…”
Section: Cyber-physical Framework Of the Smart Distribution Networkmentioning
confidence: 99%
“…These kinds of incidents cause massive losses and severe damage. For example, in the United States, the damage cost due to extreme weather events is about 25$-75$ billion a year 2 . Seven of the ten significant storms occurred in the last ten years, and each event caused damages of over 1-billion dollars 3 .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation