Secure state estimation for DC microgrids control
Autor: | Alessio Iovine, Gabriella Fiore, Elena De Santis, Maria Domenica Di Benedetto |
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Přispěvatelé: | University of L'Aquila [Italy] (UNIVAQ) |
Rok vydání: | 2017 |
Předmět: |
0209 industrial biotechnology
business.industry Computer science 020209 energy Distributed computing [MATH.MATH-DS]Mathematics [math]/Dynamical Systems [math.DS] [SPI.NRJ]Engineering Sciences [physics]/Electric power Control (management) Stability (learning theory) 02 engineering and technology Grid 7. Clean energy Telecommunications network [SPI.AUTO]Engineering Sciences [physics]/Automatic Renewable energy 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering Wireless [MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC] Specific model business Secure state ComputingMilieux_MISCELLANEOUS |
Zdroj: | CASE 2017 13th IEEE Conference on Automation Science and Engineering (CASE 2017) 2017 13th IEEE Conference on Automation Science and Engineering (CASE 2017), Aug 2017, Xi'an, China. pp.1610-1615, ⟨10.1109/COASE.2017.8256334⟩ |
DOI: | 10.1109/coase.2017.8256334 |
Popis: | DC MicroGrids are presently considered as the best solution for renewable energy diffusion since they represent the most effective way for interconnecting renewables and storages with modern loads such as electric vehicles. Hierarchical control composed by different levels is usually adopted and communication among the controllers is used to ensure grid stability. The exchanged information is assumed to be shared by means of a (wireless) communication network, which can be compromised by a malicious attacker. In this paper, the attack is not represented by a specific model, but is assumed to be unbounded and influencing only a small subset of sensors (which is fixed over time). For obtaining a secure exchange of data, a secure state estimation is performed. |
Databáze: | OpenAIRE |
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