Short-Term Preventive Maintenance Program Methodology for Distributed Generator and Battery Distribution Grids
To cope with the large-scale complexity of the network,a depth-first search clustering method is used to partition the network into regions,and a stochastic scenario-based mixed-integer nonlinear programming problem is established to determine the short-term maintenance schedule.The effectiveness and efficiency of the method is confirmed by a case study based on a modified IEEE-34 node distribution network,where the support potential of DG and batteries in preventive maintenance scheduling can significantly reduce load loss.
distributed generation and batteriespreventive maintenanceshort-term maintenance scheduling
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