Journal
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
Volume 52, Issue 6, Pages 1206-1222Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207721.2021.1896051
Keywords
Energy management system; cyber security; multi-microgrid system; model predictive control; set-membership estimation
Categories
Funding
- Griffith University Publication Assistance Scholarship (PAS)
- Australian Research Council Discovery Project [DP160103567]
- Australian Research Council Linkage Project [LP190101251]
- Australian Research Council [LP190101251] Funding Source: Australian Research Council
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This paper addresses the cyber-security issue of microgrid energy management system by employing set-membership estimation and model predictive control technique to detect, locate and tolerate cyber-attacks. The simulation results demonstrate the effectiveness of the proposed strategy in achieving cyber-attack localization and desired tolerant control performance against attacks.
This paper addresses the cyber-security issue of microgrid energy management system, where cyber-attacks, appearing in communication networks, corrupt the transmitted data and falsify the state estimates. This can potentially threaten the physical system and lead to severe physical consequences. Therefore, it is of great significance to detect, locate and tolerate cyber-attacks. To this end, set-membership estimation is employed to detect the occurrence and locate the position of DoS attacks. The model predictive control technique is utilised to schedule the energy management by using the forecasts of photovoltaic generation and load demand. It is shown that the cyber-attack localisation and the desired tolerant control performance against attacks can be both achieved. Simulation results are provided to demonstrate the effectiveness of the proposed strategy.
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