Distributed control over networks in modern power systems poses several challenges in terms of communication resources and validation in a high-fidelity cyber-physical environment. To this aim, this paper shows an assessment analysis of a novel distributed Dynamic Event-Triggered control strategy, recently introduced in the technical literature, for voltage regulation in inverter-based islanded Microgrids on a high-fidelity real-time simulation platform, accurately implemented via MATLAB/SimPowerSystems environment and Speedgoat Real-Time Target Machine, thus providing insights into its real-world applicability and performance. Moreover, a wide range of off-normal conditions for the islanded Microgrids are emulated, to validate the effectiveness and the resilience of the control strategy. Finally, the latin hypercube sampling approach is exploited for the assessment of the control performance under several systems parameters uncertainties/variations, as well as for all the possible combinations of them.
Assessment of a Dynamic Event-Triggered Voltage Control for Islanded Microgrids Using High-Fidelity Cyber-Physical Platform
Caiazzo B.;
2024-01-01
Abstract
Distributed control over networks in modern power systems poses several challenges in terms of communication resources and validation in a high-fidelity cyber-physical environment. To this aim, this paper shows an assessment analysis of a novel distributed Dynamic Event-Triggered control strategy, recently introduced in the technical literature, for voltage regulation in inverter-based islanded Microgrids on a high-fidelity real-time simulation platform, accurately implemented via MATLAB/SimPowerSystems environment and Speedgoat Real-Time Target Machine, thus providing insights into its real-world applicability and performance. Moreover, a wide range of off-normal conditions for the islanded Microgrids are emulated, to validate the effectiveness and the resilience of the control strategy. Finally, the latin hypercube sampling approach is exploited for the assessment of the control performance under several systems parameters uncertainties/variations, as well as for all the possible combinations of them.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
