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Direct Search-based Delay Attack Mitigation in Electric Vehicle Aggregators

Title
Direct Search-based Delay Attack Mitigation in Electric Vehicle Aggregators
Type
Article in International Conference Proceedings Book
Year
2021
Authors
Farsani, KT
(Author)
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Dehghani, M
(Author)
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Abolpour, R
(Author)
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Vafamand, N
(Author)
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Javadi, MS
(Author)
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Wang, F
(Author)
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Conference proceedings International
21st IEEE International Conference on Environment and Electrical Engineering / 5th IEEE Industrial and Commercial Power Systems Europe (EEEIC/I and CPS Europe)
Politecnico Bari, Bari, ITALY, SEP 07-10, 2021
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Authenticus ID: P-00W-BDY
Abstract (EN): Nowadays, recent advances in information technology and communication facilitates using networked controlled systems in different industrial plants. Whereas data is transferred among different components of the networked systems, they are vulnerable to various types of attacks. This important issue in nowadays industrial plants should be treated logically and reasonable protection mechanisms to mitigate such attacks should be provided. This paper considers delay attack impacts on frequency regulation of an electric vehicle aggregator (EVA) system. The command control action is received by the EVA through an imperfect channel containing uncertainties subject to the time-delay attack. A systematic approach based on a direct search algorithm (DSA) is developed to design a resilient proportional-integral (PI) controller for mitigating such attacks. The proposed DSA provides low-conservative results, explores the design space to find a feasible solution, and computes the PI controller gains to assure the stability of the EVA system in the presence of the delay attack. Stability analysis and numerical simulations for a typical attacked EVA frequency regulation are given to show the effectiveness of the developed controller.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 5
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