Power grid simulator control system and method based on fuzzy PI and QPR

Abstract

The invention relates to a power grid simulator control system and method based on fuzzy PI and QPR. The system comprises a DC power module, an inversion module, a filter and a load which are connected in sequence. The control end of the inversion module is connected to the output end of a control module, and the input end of the control module is connected with the filter and the load. The control module performs voltage control based on the voltage outer loop fuzzy PI and performs current control based on the current inner loop QPR so as to modulate and output a switch control signal to the inversion module. The inversion module inverts the direct current output by the DC power module according to the switch control signal, and outputs to obtain an alternating current fault test waveform. Compared with the prior art, PI control parameter optimization can be autonomously performed according to the change of the system so that the system is enabled to always operate in the optimal state, output of the required waveform can be achieved, and the system and the method have the advantages of being high in anti-interference capability, high in response speed and great in stability.

Description

technical field [0001] The invention relates to the technical field of grid simulator control, in particular to a grid simulator control system and method based on fuzzy PI and QPR. Background technique [0002] During the actual operation of the power grid, there will be various faults or abnormal states in the power grid. With the gradual expansion of the power network, it is inevitable that the power grid will fail during operation, and it is random and uncontrollable. With the development of new energy power generation technology, the scale of new energy power generation grid connection is also continuously expanding. To ensure For the normal and stable operation of the power grid, the existing research proposes a grid simulator that can simulate the fault environment of the grid and detect the grid-connected adaptability of various electrical equipment. In the actual application of the grid simulator, it is necessary to control the grid simulator , the current control ...

AI Technical Summary

Problems solved by technology

[0008] Sliding mode variable structure control, sliding mode variable structure has strong robustness, but the sampling of the system and the determination of the sliding mode surface will restrict the control performance, and it is also easy to cause high frequency jitter

[0009] The above control methods cannot provide good anti-interference ability and response speed at the same time, and it is difficult to guarantee the quality of the output waveform

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