A Novel Resilient Control of Grid-Integrated Solar PV-Hybrid Energy Storage Microgrid for Power Smoothing and Pulse Power Load Accommodation

Solar photovoltaics (PVs) are increasingly penetrating remote are a power systems. However, the adverse effect of pulse power loads and fluctuating PV power brings severe grid instability. Therefore, an effort is made to propose a hybrid energy storage system (HESS) that encompasses hydrogen/bromine redox flow battery (RFB) and supercapacitor (SC) for grid-integrated PV systems to facilitate high energy and power support. Furthermore, the system is equipped with an antiwindup mixed-order generalized integrator (AWMOGI), an improved sparrow search algorithm (ISSA) tuned tilt integral-derivative with filter (TIDF) controller, and a fast-acting adaptive dc-link power-based energy management control. AWMOGI extracts fundamental components of grid voltage and is immune to noise and grid disturbances. The ISSA-tuned TIDF controller has better error mitigation ability and quickly settles the actual signal to the reference for dc-link voltage control of the voltage-source inverter, PV maximum power point tracking, and HESS control that improves the overall system dynamics. The energy management system coordinates RFB and SC participation in handling sudden and average changes in power surges resulting in the first dc-link voltage regulation and less current stress on RFB. The proposed system and furnished control effectiveness are confirmed through MATLAB simulation and OPAL-RT real-time simulator test bench.

Automated summary

To tackle the adverse impact of pulse power loads and fluctuating PV power on grid stability, a hybrid energy storage system (HESS) is proposed, which integrates hydrogen/bromine redox flow battery and supercapacitor. The system incorporates an antiwindup mixed-order generalized integrator, an improved sparrow search algorithm tuned tilt integral-derivative with filter controller, and a fast-acting adaptive dc-link power-based energy management control. The effectiveness of the proposed system and control strategies are confirmed through MATLAB simulation and OPAL-RT real-time simulator test bench.