Dynamic Load Transfer of Active Distribution Network Based on Prediction Information

With the high penetration of distributed energy resource (DER), we can realize load transfer by changing switches' states when there is a fault. The computational efficiency can be improved sharply by improved greedy algorithm to “eat load”. According to load, photovoltaic power generation and wind power generation prediction information, we can early estimate distribution network state to adjust load transfer solution. The minimum energy loss is set the goal in this paper and, combined with distribution network radial constraints, power flow constraints and output constraints of DERs, dynamic load transfer solution is obtained during fault period. The effectiveness and reliability of dynamic load transfer algorithm is verified by theoretical analysis and simulation.