A deep learning-based general robust method for network reconfiguration in three-phase unbalanced active distribution networks

A Social Beetle Swarm Algorithm Based on Grey Target Decision-Making for a Multiobjective Distribution Network Reconfiguration Considering Partition of Time Intervals

“…Mean value of effect value The centre of the grey target t (1) t (2) From Fig.22, The average effect value has the same trend with the real parameters of distribution network reconfiguration in 24h, which can reflect the reconfiguration effect to a certain extent.…”

“…The network loss of distribution network will cause extra cost which is obtained by active power loss f 1 It clearly shows that case B causes a substantial reduction in the number of switching operations.…”

“…The original sequence is multiplied by the initial valued operator D 1 in order to be analyzed by grey absolute correlation analysis. (1).…”

“…DNRC is used to change the topological structure of the distribution network by changing the state of switches under the condition of satisfying network constraints, thereby enhancing the efficiency and stability of the distribution network [1], so the DNRC has been considered a powerful tool in distribution system planning and operation. In the DNRC problem, we determine the optimal radial configuration, the close/open status of each branch equipped with a controllable switch, on the given meshed distribution system for different objectives [2][3].…”

“…The model of distribution network reconfiguration considering these uncertainties is built in [14][15], but the load time variation is not considered. Although the uncertain variables of DG output and loads are considered in [1], the model is a single objective only considered.…”