The 2023 IEEE International Conference on Predictive Control of Electrical Drives and Power Electronics (PRECEDE 2023)

Micro-energy systems are essential to integrated multiple distributed renewable energy. However, due to lack of equivalent inertia, a slight power fluctuation will lead to severe frequency oscillation. Virtual synchronous generator (VSG) control strategy is introduced to cope with this problem. The classical VSG solution includes the outer power droop loop and the inner cascaded voltage and current double closed loop, which increases the complexity of system, resulting in reduced dynamic response speed. Additionally, the virtual synchronous generator freedom, adjustable via parameters, has not been fully exploited, leading to insufficient utilization of this technique for multiple operation conditions. In this work, we propose an adaptive virtual synchronous generator based model predictive control in microenergy systems. With the proposed solution, parameters are adaptively adjusted. Meanwhile, the accuracy of voltage and current tracking are enhanced with the multi-step predictive control technology. Finally, the effectiveness of the proposed strategy is validated with experimental data.

frequency support, enhanced VSG-MPC control, adaptive parameters, micro-energy systems