Method for optimizing control parameters of grid-connected photovoltaic inverter

Abstract

The invention discloses a method for optimizing control parameters of a grid-connected photovoltaic inverter. The method comprises the steps of: establishing a small signal analysis model of a photovoltaic power generation system, and preliminarily determining main factors influencing system oscillation by using characteristic value analysis and sensitivity analysis; performing multi-time scale order reduction for the small signal model, analyzing the influence of the controller parameters on the oscillation mode based on the order reduction model, and determining the main controller parameters to be optimized and the value range thereof; and finally, establishing an objective function which comprehensively considers the stability, the damping ratio and the oscillation mode of the system,and optimizing parameters by adopting a genetic algorithm. According to the method, the parameters of the controller to be optimized can be reduced, the value range of the parameters is narrowed, theoscillation problem of the photovoltaic power generation system can be effectively improved, and the workload of parameter design is simplified.

Description

technical field [0001] The invention relates to a method for optimizing control parameters of a grid-connected photovoltaic inverter, in particular to a method for optimizing control parameters of a grid-connected photovoltaic inverter, which belongs to the technical field of new energy grid-connected power generation. Background technique [0002] Due to environmental constraints and the demand for sustainable energy supply, photovoltaic power generation has attracted great attention worldwide due to its clean, renewable, and abundant resources. Its penetration rate in the power system continues to increase, and large-scale and large-scale The current important development trend of photovoltaic industry. [0003] A stable photovoltaic grid-connected system must first be small-signal stable. However, with the continuous increase of photovoltaic capacity, the interaction between photovoltaic system and power grid is becoming more and more obvious, making system oscillation m...

AI Technical Summary

Problems solved by technology

However, there are two deficiencies in the existing methods: one is that the optimization objects are all controller parameters, and the other is that the method of drawing the eigenvalue trajectory is to make the controller parameters change with a certain step within a certain range, and to calculate and observe the eigenvalues ​​as the The case of parameter changes

As can be seen from the above analysis, the methods occurring in the prior art have certain limitations, and the use effect is not good.

Images