Control Parameters Optimization of Photovoltaic Grid-Connected System Based on Sensitivity Analysis

With the gradual penetration of new energy power generation devices represented by photovoltaic power generation and wind power generation in the power system, the stability of new energy grid-connected system is facing greater challenges. In order to ensure the stable operation of the system when working conditions change, the control parameters of the inverter need to be optimized follow the change. The commonly used optimization method is based on the state-space sensitivity, but there are redundant calculations in the optimization process. When applied to complex systems, the optimization time will increase due to the computation of large matrix dimension. This paper takes photovoltaic grid-connected system as an example, establishing the state-space model of the system, and the recognition of the corresponding sensitivity of the mode which is the basic of simplifying optimization steps is completed in advance. Under the premise of achieving the same function, the amount of calculation is greatly reduced compared with the original method. Finally, this paper verifies the effectiveness of control parameters optimization method based on the hardware-in-the-loop platform.