Cyber-resilient multi-energy management for complex systems

Zhao, Pengfei, Cao, Zhidong, Zeng, Dajun, Gu, Chenghong, Wang, Zhaoyu, Xiang, Yue, Qadrdan, Meysam ORCID: https://orcid.org/0000-0001-6167-2933, Chen, Xinlei, Yan, Xiaohe and Li, Shuangqi 2022. Cyber-resilient multi-energy management for complex systems. IEEE Transactions on Industrial Informatics 18 (3) , pp. 2144-2159. 10.1109/TII.2021.3097760

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Abstract

This paper addresses the cyber resilience issues of multi-vector energy distribution systems (MEDS) caused by false data injection FDI, considering the uncertainty from renewable resources. A novel two-stage distributionally robust optimization (DRO) is proposed to realize the day-ahead and real-time resilience improvement. The first stage determines an initial plan for day-ahead reserve preparation and the second stage makes adjustment and takes resilience-based actions after potential load redistribution (LR) attacks and renewable output deviation. The ambiguity set is based on both the Wasserstein distance and moment information. Compared to robust optimization which considers the worst case, DRO yields less-conservative solutions and thus provides more economic operation schemes. The Wasserstein-metric based ambiguity set enables to provide additional flexibility hedging against renewable uncertainty. Case studies are demonstrated on two representative MEDS networked with energy hubs, i.e., a 33-bus-20-node MEDS and a 69-bus-20-node-MEDS, illustrating the effectiveness of the proposed cyber-secured model.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	1551-3203
Last Modified:	10 Nov 2022 09:41
URI:	https://orca.cardiff.ac.uk/id/eprint/143987

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