Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 53, Issue 10, Pages 6577-6587Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2022.3208363
Keywords
Power system stability; Markov processes; Protocols; Switched mode power supplies; Power system dynamics; Frequency control; Manganese; Deception attacks; dynamic-memory event-triggered protocol (DMETP); load frequency control (LFC); semi-Markov jump systems
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This work focuses on the load frequency control issue in interconnected multiarea power systems, considering dynamic behavior, random variations, and deception attacks. A novel dynamic-memory event-triggered protocol is developed to modulate transmission frequency and a memory-based asynchronous control strategy is proposed to reveal mode mismatches. Sufficient conditions for stochastic stability are established using Lyapunov theory. Simulation results demonstrate the effectiveness of the proposed approach.
This work deals with the dynamic-memory event-triggered-based load frequency control issue for interconnected multiarea power systems (IMAPSs) associated with random abrupt variations and deception attacks. To facilitate the transient faults, a semi-Markov process is addressed to model the dynamic behavior of IMAPSs. In order to modulate transmission frequency, a novel area-dependent dynamic-memory event-triggered protocol (DMETP) is scheduled by resorting to a set of the historically released packets (HRPs), which ensures better dynamic performance. From the viewpoint of the defender, the randomly occurring deception attack is taken into account, which is regulated by a Bernoulli-distributed scalar. Benefitting from the DMETP scheduling, a novel framework of the memory-based asynchronous control strategy is formulated, in which the hidden semi-Markov model is adopted to reveal the mode mismatches. Based on the Lyapunov theory, sufficient conditions are established to ensure the stochastic stability of the resulting systems. In the end, the simulation result is presented to reveal the efficiency of the proposed dynamic-memory event-triggered-based approach.
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