Research on Reactive Power Optimization of Distribution Network with Distributed Generation Based on Quantum Particle Swarm Optimization

With the rise of distributed generation system, the proportion of DG access to distribution network is increasing. A large number of DG access to distribution network will not only change the power flow direction of distribution network, but also cause voltage fluctuation and reduce power quality. Therefore, a reactive power optimization model with the minimum active power loss and voltage deviation of the distribution network is established, and the quantum particle swarm optimization algorithm is used to solve the problem. Finally, the example simulation is carried out in the IEEE33 node distribution system. The example proves that the quantum particle swarm optimization algorithm is superior to the standard particle swarm optimization algorithm in terms of optimization accuracy and speed. The results verify the effectiveness of the proposed algorithm.