Distributed Photovoltaic Short-circuit Current Automatic Monitoring System Based on DIgSILENT
In the process of analyzing short-circuit faults in distributed photovoltaic systems,the simplified circuit model method is used to calculate the short-circuit current,ignoring the dynamic characteristics and nonlinear behav-ior of the photovoltaic system,resulting in significant errors in the monitoring results.Therefore,a distributed photo-voltaic short-circuit current automatic monitoring system based on DIgSILENT is proposed.Introduce a fully adaptive noise set empirical mode decomposition algorithm to obtain the signal sequence after interference suppression.A neu-ral network improved based on whale optimization algorithm is used to construct a short-circuit fault recognition model.The test results show that the RMSE value of the short-circuit current automatic monitoring output by the sys-tem is always less than 0.1,which meets the accuracy requirements of current monitoring.
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