Collaborative stochastic expansion planning of cyber‐physical system considering extreme scenarios
Abstract In this paper, a collaborative stochastic expansion planning model of cyber‐physical system (CPS) with resilience constraints is proposed. The model can reduce the coupling risk and enhance the resilience under extreme scenarios, from the perspective of the structural/functional coupling be...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-05-01
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| Series: | IET Generation, Transmission & Distribution |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/gtd2.12819 |
| _version_ | 1797824384831848448 |
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| author | Yiwei Zhang Chengze Li Haiyang Wan Qingxin Shi Wenxia Liu Yanhui Xu |
| author_facet | Yiwei Zhang Chengze Li Haiyang Wan Qingxin Shi Wenxia Liu Yanhui Xu |
| author_sort | Yiwei Zhang |
| collection | DOAJ |
| description | Abstract In this paper, a collaborative stochastic expansion planning model of cyber‐physical system (CPS) with resilience constraints is proposed. The model can reduce the coupling risk and enhance the resilience under extreme scenarios, from the perspective of the structural/functional coupling between the physical and cyber systems. The model is to collaboratively optimize expansion transmission line siting, expansion communication fibre siting, and service routing distribution to minimize total investment cost. Constraints are divided into conventional constraints and resilience constraints. In the resilience constraints, the impact of cyber failures on the dispatch strategy is analyzed, and the load shedding in stochastic scenarios is limited to guarantee the resilience of the planning scheme. Particularly, to reach a stable solution for the stochastic planning, a mixed scenario set is proposed based on the probabilistic typhoon model and the complex network theory. Finally, the model is solved by the progressive hedging (PH) algorithm. The case studies of the IEEE RTS‐79 test system demonstrate that, compared with the traditional independent planning model, the model proposed in this paper performs better in limiting load loss and enhancing resilience under extreme scenarios. |
| first_indexed | 2024-03-13T10:38:10Z |
| format | Article |
| id | doaj.art-9068b1a17fda42f2bb86afd813c4b4e0 |
| institution | Directory Open Access Journal |
| issn | 1751-8687 1751-8695 |
| language | English |
| last_indexed | 2024-03-13T10:38:10Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Generation, Transmission & Distribution |
| spelling | doaj.art-9068b1a17fda42f2bb86afd813c4b4e02023-05-18T05:19:43ZengWileyIET Generation, Transmission & Distribution1751-86871751-86952023-05-0117102419243410.1049/gtd2.12819Collaborative stochastic expansion planning of cyber‐physical system considering extreme scenariosYiwei Zhang0Chengze Li1Haiyang Wan2Qingxin Shi3Wenxia Liu4Yanhui Xu5State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing People's Republic of ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing People's Republic of ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing People's Republic of ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing People's Republic of ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing People's Republic of ChinaState Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources North China Electric Power University Beijing People's Republic of ChinaAbstract In this paper, a collaborative stochastic expansion planning model of cyber‐physical system (CPS) with resilience constraints is proposed. The model can reduce the coupling risk and enhance the resilience under extreme scenarios, from the perspective of the structural/functional coupling between the physical and cyber systems. The model is to collaboratively optimize expansion transmission line siting, expansion communication fibre siting, and service routing distribution to minimize total investment cost. Constraints are divided into conventional constraints and resilience constraints. In the resilience constraints, the impact of cyber failures on the dispatch strategy is analyzed, and the load shedding in stochastic scenarios is limited to guarantee the resilience of the planning scheme. Particularly, to reach a stable solution for the stochastic planning, a mixed scenario set is proposed based on the probabilistic typhoon model and the complex network theory. Finally, the model is solved by the progressive hedging (PH) algorithm. The case studies of the IEEE RTS‐79 test system demonstrate that, compared with the traditional independent planning model, the model proposed in this paper performs better in limiting load loss and enhancing resilience under extreme scenarios.https://doi.org/10.1049/gtd2.12819collaborative planningcyber physical systemprogressive hedging algorithmresiliencestochastic planningcyber‐physical systems |
| spellingShingle | Yiwei Zhang Chengze Li Haiyang Wan Qingxin Shi Wenxia Liu Yanhui Xu Collaborative stochastic expansion planning of cyber‐physical system considering extreme scenarios IET Generation, Transmission & Distribution collaborative planning cyber physical system progressive hedging algorithm resilience stochastic planning cyber‐physical systems |
| title | Collaborative stochastic expansion planning of cyber‐physical system considering extreme scenarios |
| title_full | Collaborative stochastic expansion planning of cyber‐physical system considering extreme scenarios |
| title_fullStr | Collaborative stochastic expansion planning of cyber‐physical system considering extreme scenarios |
| title_full_unstemmed | Collaborative stochastic expansion planning of cyber‐physical system considering extreme scenarios |
| title_short | Collaborative stochastic expansion planning of cyber‐physical system considering extreme scenarios |
| title_sort | collaborative stochastic expansion planning of cyber physical system considering extreme scenarios |
| topic | collaborative planning cyber physical system progressive hedging algorithm resilience stochastic planning cyber‐physical systems |
| url | https://doi.org/10.1049/gtd2.12819 |
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