This paper tackles the secondary voltage restoration control problem for droop-controlled inverter-based islanded Microgrids in the presence of communication time-varying delays. We propose a novel distributed robust finite-time control strategy which is able to restore the DGs voltages to the reference setpoints in a finite time, as well as to cope with both communication time-varying delays and deviations induced by primary control. Delay-dependent robust finite-time stability conditions are derived as a set of Matrix Inequalities, whose solution provides the proper tuning of the control gains so as to guarantee the achievement of the control goal with prescribed steady-state and transient performances. Finally, a detailed simulation analysis confirms the effectiveness and the robustness of the proposed approach.
Robust Finite-time Voltage Restoration in Inverter-Based Microgrids via Distributed Cooperative Control in presence of communication time-varying delays / Andreotti, A.; Caiazzo, B.; Petrillo, A.; Santini, S.; Vaccaro, A.. - (2020), pp. 1-6. (Intervento presentato al convegno 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020 tenutosi a esp nel 2020) [10.1109/EEEIC/ICPSEurope49358.2020.9160502].
Robust Finite-time Voltage Restoration in Inverter-Based Microgrids via Distributed Cooperative Control in presence of communication time-varying delays
Andreotti A.;Caiazzo B.;Petrillo A.;Santini S.;
2020
Abstract
This paper tackles the secondary voltage restoration control problem for droop-controlled inverter-based islanded Microgrids in the presence of communication time-varying delays. We propose a novel distributed robust finite-time control strategy which is able to restore the DGs voltages to the reference setpoints in a finite time, as well as to cope with both communication time-varying delays and deviations induced by primary control. Delay-dependent robust finite-time stability conditions are derived as a set of Matrix Inequalities, whose solution provides the proper tuning of the control gains so as to guarantee the achievement of the control goal with prescribed steady-state and transient performances. Finally, a detailed simulation analysis confirms the effectiveness and the robustness of the proposed approach.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
