ANN driven FOSMC based adaptive droop control for enhanced DC microgrid resilience

Parallel operation of power converters in islanded DC microgrids exhibits significant trade-off in voltage regulation and current sharing with conventional droop control. The converters exhibit inaccuracies in proportionate sharing of current when subject to heavy and transient loading while sharing a common bus. Moreover, the inaccuracies further persist due to unmodeled dynamics, parametric uncertainties, disturbance in the system and communication reliability. Therefore, the resilient parallel operation of power converters in DC microgrids requires a robust and fast control strategy that can mitigate the effect of disturbances and maintain regulated bus voltage with proportional current sharing amongst the power converters. Consequently, this work proposes a novel ANN driven droop control for a DC microgrid to enhance the transient response and mitigate disturbance in finite time. Two controllers based on adaptive droop strategy are proposed; the primary controller is a generalized Hebb's learning law-based PI integrated controller that can adjust the gains in real time for finite-time disturbance compensation in the networks and the secondary control regulates the bus voltage using fractional order sliding mode control. The effectiveness of the proposed method is evaluated by simulation and experiment and compared with the conventional and distributed droop control methods, proving its robust and adaptive performance for resilient DC microgrid applications

Application of modern non-linear control techniques for the integration of compressed air energy storage with medium and low voltage grid

Compressed air energy storage is a well-used technology for application in high voltage power system but researchers are also investing efforts to minimise the cost of this technology in medium and low voltage power system. Integration of this energy storage requires a robust control of power electronic converter to control the power injection due to the dynamic behaviour of the system. The conventional linear control design requires a thorough knowledge of the system parameters, but the uncertain disturbances caused by the mechanical properties of the energy storage is neglected in the design and the system fails in presence of such instances. In this paper an adaptive control based boost converter and sliding mode control based three phase inverter for grid integrated compressed air energy storage system of up to 1kW has been presented which can mitigate any uncertain disturbances in the system without prior knowledge of the system parameters. The experimental results along with simulation results are also presented to validate the efficiency of the system