Research on Security Check of Interconnected Grid Dispatching Considering Electricity Spot Market
A method for full-scenario fault analysis of primary and secondary integrated equipment based on deep learning is proposed.Types and methods of fault scenarios in low-voltage distribution networks are explained,and factors affecting the simulation of distribu-tion network faults are analyzed.The single-phase-to-ground fault model for low-voltage distribution networks is detailed,and models for both a small resistance grounding system and an arc suppression coil grounding system are established,with an analysis of the influen-cing factors during fault simulation for both systems.A fault scenario diagnosis approach using convolutional neural networks is proposed based on deep learning technology,and a process analysis is carried out,integrating the functional characteristics of primary and second-ary equipment integration devices.The effectiveness of the proposed fault scenario simulation in terms of data accuracy and training data results is validated through simulation analysis.
deep learningprimary and secondary integrationfault scenario simulationground fault
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