Increasing Green Energy Penetration and Efficient Utilization Through a Finite Control Set Model Predictive-based Virtual Inductance Droop Control

•Designed a new control model using Finite Control Set Model Predictive-based Virtual Inductance Droop Control.•Incorporated the virtual inductance decision to the droop control to improve the system voltage profile.•Used finite control set model predictive with a virtual inductance droop control to enhance the control performance and stability.•Implement the proposed control to a four-leg inverter to achieve optimal utilization of renewable energy.•The proposed control technique is tested under various transient and steady-state load conditions of balanced, unbalanced, and non-linear loads. As global energy demand hikes up, the search is to provide adequate penetration of green energy to the power grid to solve this threat of energy crisis and preserve the globe from pollution. Thus, this paper proposes an inverter control algorithm in the form of a finite control set model predictive-based virtual inductance droop voltage control strategy for a hybrid microgrid structure, which will provide a more effective platform for high penetration and efficient utilization of green energy. The new control algorithm as tabled in this paper considers the following aspects: DC voltage control, enhancement of reactive power issues with conventional control, fast dynamic response to AC load voltage regulation under balanced, unbalanced, and unbalanced non-linear loads, and power quality delivery in an autonomous hybrid microgrid system. To verify the performance of the proposed control method, simulation models are built under various operating modes of load variations and source unavailability. When analyzed, the findings show the control method's great efficacy to achieve desirable efficiency of green energy utilization and its greater accommodation into the microgrid. Additionally, it alleviates pressure on conventional generation and the utility system, avoiding the need for expensive grid improvements.