Abstract
This paper proposes a novel latency-robust adaptive control strategy for regulating active power flow at the point of common coupling (PCC) in centralized grid-connected microgrids (MGs). The proposed strategy dynamically adjusts power management system (PMS) parameters, such as the digital anti-aliasing filter cutoff frequency and packet transmission rate (PTR), to maintain stability and achieve shorter settling times. The strategy is tested in a controller hardware-in-the-loop (CHIL) setup, with the Typhoon HIL 402 simulating the power system and the Raspberry Pi implementing the PMS. The strategy is compared with the typical implementation using fixed PMS parameters. Tests with wired Ethernet communication show that the adaptive control achieves settling times 1.4 to 2.6 times shorter than fixed control, while maintaining stability in scenarios where the fixed control becomes unstable. The proposed strategy is also verified through 24-hour MG operation tests using Wi-Fi, demonstrating stable and accurate power flow control at the PCC while eliminating reverse power flow through self-consumption.