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- Publisher Website: 10.1109/TII.2024.3452755
- Scopus: eid_2-s2.0-85207460653
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Article: Co-Optimization of Microgrid Secondary Control and Communication QoS: A Cross-Layer Perspective in Cyber-Physical System
| Title | Co-Optimization of Microgrid Secondary Control and Communication QoS: A Cross-Layer Perspective in Cyber-Physical System |
|---|---|
| Authors | |
| Keywords | Co-optimization cyber-physical systems (CPSs) cyber-physical systems security microgrid secondary control quality of service (QoS) |
| Issue Date | 17-Oct-2024 |
| Publisher | Institute of Electrical and Electronics Engineers |
| Citation | IEEE Transactions on Industrial Informatics, 2024, v. 21, n. 2, p. 1090-1099 How to Cite? |
| 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%). |
| Persistent Identifier | http://hdl.handle.net/10722/361881 |
| ISSN | 2023 Impact Factor: 11.7 2023 SCImago Journal Rankings: 4.420 |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Feng, Xiaomeng | - |
| dc.contributor.author | Hu, Shiyan | - |
| dc.date.accessioned | 2025-09-17T00:31:33Z | - |
| dc.date.available | 2025-09-17T00:31:33Z | - |
| dc.date.issued | 2024-10-17 | - |
| dc.identifier.citation | IEEE Transactions on Industrial Informatics, 2024, v. 21, n. 2, p. 1090-1099 | - |
| dc.identifier.issn | 1551-3203 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/361881 | - |
| dc.description.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%). | - |
| dc.language | eng | - |
| dc.publisher | Institute of Electrical and Electronics Engineers | - |
| dc.relation.ispartof | IEEE Transactions on Industrial Informatics | - |
| dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
| dc.subject | Co-optimization | - |
| dc.subject | cyber-physical systems (CPSs) | - |
| dc.subject | cyber-physical systems security | - |
| dc.subject | microgrid secondary control | - |
| dc.subject | quality of service (QoS) | - |
| dc.title | Co-Optimization of Microgrid Secondary Control and Communication QoS: A Cross-Layer Perspective in Cyber-Physical System | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1109/TII.2024.3452755 | - |
| dc.identifier.scopus | eid_2-s2.0-85207460653 | - |
| dc.identifier.volume | 21 | - |
| dc.identifier.issue | 2 | - |
| dc.identifier.spage | 1090 | - |
| dc.identifier.epage | 1099 | - |
| dc.identifier.eissn | 1941-0050 | - |
| dc.identifier.issnl | 1551-3203 | - |
