This paper focuses on power distribution networks featuring distributedenergy resources (DERs), and develops controllers that drive the DER outputpowers to solutions of time-varying AC optimal power flow (OPF) problems. Thedesign of the controllers is grounded on primal-dual-type methods forregularized Lagrangian functions, as well as linear approximations of the ACpower-flow equations. Convergence and OPF-solution-tracking capabilities areestablished while acknowledging: i) communication-packet losses, and ii)partial updates of control signals. The latter case is particularly relevantsince it enables an asynchronous operation of the controllers where the DERsetpoints are updated at a fast time scale based on local voltage measurements,and information on the network state is utilized if and when available, basedon communication constraints. As an application, the paper considersdistribution systems with a high penetration level of photovoltaic systems, anddemonstrates that the proposed framework provides fast voltage-regulationcapabilities, while enabling the near real-time pursuit of AC OPF solutions.
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