Dynamic reconfiguration of unbalanced distribution network considering DG uncertainties

In order to solve the multi-objective dynamic reconfiguration problem of the unbalanced source distribution network, this paper proposes a multi-objective dynamic reconfiguration strategy for active distribution network based on affine number. The affine number is introduced in this paper to describe the uncertainty of distributed generation output. The active network loss, voltage deviation and load balance are the objective functions, the dynamic reconfiguration of unbalanced distribution network is modeled. The multi-objective particle swarm optimization algorithm based on Pareto entropy and parallel mesh is used to obtain the static reconfiguration solution in hours. Finally, a reconfiguration time division scheme based on Mahalanobis distance and target expectation is proposed, and the time period is divided again until the switch action constraint is satisfied.