An adaptive anti-islanding disturbance load impedance prediction method for microgrid

Abstract

The present invention relates to a method for predicting a microgrid self-adaptive anti-islanding disturbance load impedance value, comprising the following steps: 1) judging whether to perform disturbance load impedance value prediction according to the state of an anti-islanding device in a microgrid in different application scenarios; 2) ) When the anti-islanding device operates normally before the micro-grid is put into operation, the disturbance load impedance value is predicted by LSTM; 3) When the anti-islanding device fails before the micro-grid is put into use, the protection action information is collected, and the micro-grid is established based on the Petri network After the fault information is extracted from the model, the disturbance load impedance value is predicted by LSTM. Compared with the prior art, the present invention has the advantages of considering impedance characteristics in multiple scenarios, enhancing the flexibility and reliability of microgrid operation, and the like.

Description

technical field [0001] The invention relates to the field of micro-grid operation and maintenance, in particular to a method for predicting the load impedance value of micro-grid self-adaptive anti-islanding disturbance. Background technique [0002] At present, the research on anti-islanding devices is mostly carried out from the aspects of zero blind zone detection, blind zone prediction, power grid self-healing ability, self-adaptive cutting, etc. There are few studies on the determination of anti-islanding equivalent disturbance load impedance value, and the existing constant impedance value It cannot be adjusted in real time according to changes in supply and demand in the microgrid, which reduces the flexibility and reliability of the grid operation. Therefore, it is of great significance to study the prediction method of input adaptive anti-islanding disturbance load and variable resistance value. [0003] Under normal operating conditions, the disturbance load imped...

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Problems solved by technology

[0004] As the anti-islanding device gradually increases with the penetration rate of distributed power sources, the impact on limiting the maximum capacity of new energy access, ensuring the safety of maintenance personnel, ensuring the normal operation of grid automatic devices, and building a clean and low-carbon energy supply system has become increasingly prominent. Due to At present, there is a lack of impedance characteristic analysis under different scenarios in the input process, which reduces the reliability and flexibility of system operation. Therefore, it is of great significance to propose a microgrid adaptive anti-islanding disturbance load impedance value prediction method combined with LSTM neural network and Petri network.

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