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Event-triggered control for distributed time-varying optimization
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DOI：10.1016/j.isatra.2025.09.025.png)
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Abstract
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• This paper incorporated an event-triggered scheme with the distributed optimization approach, proposing a communication-efficient distributed controller. Compared to the algorithms for continuous-time communication in [7, 25, 26], the proposed distributed controller has the potential to save communication resources. • The proposed optimization approach has the potential to provide a local optimal strategy for each battery package in the battery energy storage system to determine its desired power output, which provides additional flexibility for the overall battery energy storage system. • Compared to [7, 25 26], where the inverse of the Hessian of the local objective function is required, the event-triggered distributed controller avoids computing the inverse of the Hessian, thereby reducing computational costs. • Compared to [25, 29], the proposed approach relaxed the implementation conditions since we removed the need for the boundedness of the second-order time derivative of the gradient function and the time derivative of the Hessian matrices.
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