Output feedback control method of interference-containing nonlinear multi-machine power system

Abstract

The invention provides an H-infinity output feedback control method of an interference-containing nonlinear multi-machine power system. The method comprises the following steps of carrying out local linearization on a nonlinear multi-machine power system kinetic equation, establishing a fuzzy model equation of the interference-containing multi-machine power system based on a fuzzy rule, and obtaining a global fuzzy model of the interference-containing multi-machine power system according to the fuzzy model equation; designing an output feedback controller of the global fuzzy model; defining anobserver error, an event triggering form, a triggering condition and a performance index in a zero initial state of the interference-containing multi-machine power system; and enabling the output feedback controller to perform feedback control on the multi-machine power system according to the event triggering form, the triggering condition and the performance index in the zero initial state, sothat the multi-machine power system is asymptotically stable, and the suppression index of the multi-machine power system for external interference is smaller than a reference value.

Description

technical field [0001] The invention relates to the technical field of multi-machine power system control, in particular to an output feedback control method of a nonlinear multi-machine power system with disturbance. Background technique [0002] In practice, most power systems are often subjected to various random disturbances during operation. In addition, distributed clean energy is greatly affected by external factors such as weather and environment, and has great volatility, randomness, and intermittency. Certainly affected. In addition, for the power system, electric vehicles are used as loads during charging, and can be regarded as distributed power sources during operation. Therefore, when electric vehicles are charged on a large scale, the power consumption at the load end of the power system will increase sharply. During the peak load period, large-scale centralized charging of electric vehicles will lead to "peak-on-peak" situations, which is extremely detrimen...

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Problems solved by technology

On the other hand, the existing fuzzy control method uses a state feedback controller, which requires that all system state variables can be measured online; however, due to many factors such as measurement and control technology and economy, it is almost impossible to measure all state variables of the actual power system online. measured

That is to say, the modeling and control problems of existing power systems have not been well solved.

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