Multi-objective Fault Recovery Strategy for Distribution Networks with Distributed Generation

To solve the randomness of distributed generation and time-varying load requirements, a multi-objective fault recovery strategy for distribution networks using a hybrid crow algorithm is presented. Firstly, the combined output model and load characteristic model of wind and energy storage system are built, and the important loads in distribution network are restored first by islands division method. Then, taking the minimum active power loss, minimum system voltage stability index and minimum number of switching operations as the objective functions, the recovery and reconfiguration model of the main network and the remaining power loss areas is established, and the hybrid crow algorithm is applied to deal with the restoration of remaining power loss load in the distribution network. Finally, simulation using the IEEE33-node distribution network model is used to verify the efficiency and supremacy of the proposed method.