Load Balance and Recovery Optimization of Distribution Network Based on Binary Particle Swarm Optimization Algorithm

With the rapid increase of electricity load, the distribution network is prone to line load imbalance or even power outage faults caused by line damage during operation, so it is extremely important to optimize the load balance of the distribution network and ensure the stable operation of the power grid. Firstly, in this paper, when the load is unbalanced, a line load balancing strategy for the reconstruction of the distribution network with network loss and load balance index as the optimization goals is proposed to maintain the line load balance while ensuring the economy. Further, considering the power failure caused by line damage, a node load recovery strategy for the reconstruction of the distribution network with additional consideration of node voltage drop and minimization of power loss load is proposed to ensure the balance of line load and the improvement of power quality while maximizing the recovery load. Finally, the above optimization model is solved by using the binary particle swarm optimization algorithm based on split-loop substitution, and the simulation is verified on the IEEE-33 node model, which shows that the proposed algorithm can balance the line load well, and in the event of power failure, the lost power load can be restored to the greatest extent, which greatly improves the operational toughness of the power grid.