<p>This article uses time-delayed asynchronous quantized control to study the stabilization problem of uncertain discrete-time Markov jump power systems subject to deception attacks. The primary goal of this work is to design a controller for discrete-time Markov jump power systems in which the control modes operate asynchronously between the power system modes. The hidden Markov model simulates the transient faults in the power lines and ensuing switching of related circuit breakers. Compared to previous studies, the quantizer and feedback controller rely on the operating system; their modes operate asynchronously with discrete-time Markov jump power systems via hidden Markov model. Furthermore, a Bernoulli variable serves as guidance for the deception attacks. The framework for linear matrix inequalities is employed in the design of the suggested controller. The controller uses regional pole placement to achieve the appropriate performance speed while keeping system load fluctuations and unpredictable topology changes. Lastly, a case study demonstrates the control scheme’s efficacy.</p>