Co-Optimization of Microgrid Secondary Control and Communication QoS: A Cross-Layer Perspective in Cyber–Physical System

In a microgrid with hierarchical control, a typical cyber–physical power system (CPPS), cyber failures may induce physical system damage in a cross-layer fashion. Particularly during extreme conditions, the reliability of communication facilities may be jeopardized, inducing a degraded quality of service (QoS) and subsequently disrupting frequency and voltage regulation in a cross-layer fashion. This article proposes a co-optimization technique on QoS, frequency regulation and voltage regulation that comprises: 1) a specialized CPPS model for quantitatively analyzing the cross-layer impact of resource allocation to physical states, specifically frequency and voltage; 2) a multiobjective formulation aimed at enhancing QoS while concurrently minimizing the impact on physical states regulation; and 3) a weight adjusted model reference adaptive search algorithm to narrow the search space by leveraging the characteristics of our CPPS model. Compared with state-of-the-art techniques that focus solely on optimizing QoS, our proposed technique achieves a reduction of frequency (13.74%) and voltage (4.57%) deviations, albeit with a minor compromise in QoS (0.34%).

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2024-10-17
DOI
https://doi.org/10.1109/tii.2024.3452755
Citations
1
Primary Topic
Smart Grid Security and Resilience
Type
article
Field-Weighted Citation Impact
0.33
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article

Co-Optimization of Microgrid Secondary Control and Communication QoS: A Cross-Layer Perspective in Cyber–Physical System

Shiyan Hu, Xiaomeng Feng
1 citations
IEEE Transactions on Industrial Informatics
Smart Grid Security and Resilience
0.33
article

Co-Optimization of Microgrid Secondary Control and Communication QoS: A Cross-Layer Perspective in Cyber–Physical System

Shiyan Hu, Xiaomeng Feng
article en
1 citations

Abstract

In a microgrid with hierarchical control, a typical cyber–physical power system (CPPS), cyber failures may induce physical system damage in a cross-layer fashion. Particularly during extreme conditions, the reliability of communication facilities may be jeopardized, inducing a degraded quality of service (QoS) and subsequently disrupting frequency and voltage regulation in a cross-layer fashion. This article proposes a co-optimization technique on QoS, frequency regulation and voltage regulation that comprises: 1) a specialized CPPS model for quantitatively analyzing the cross-layer impact of resource allocation to physical states, specifically frequency and voltage; 2) a multiobjective formulation aimed at enhancing QoS while concurrently minimizing the impact on physical states regulation; and 3) a weight adjusted model reference adaptive search algorithm to narrow the search space by leveraging the characteristics of our CPPS model. Compared with state-of-the-art techniques that focus solely on optimizing QoS, our proposed technique achieves a reduction of frequency (13.74%) and voltage (4.57%) deviations, albeit with a minor compromise in QoS (0.34%).

IEEE Transactions on Industrial InformaticsVol. 21(2)
University of Southampton (GB), University of Hong Kong (HK)
Openalex Percentile: Top 41%
Smart Grid Security and Resilience
0.33
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