Distribution Network Reconstruction Based on Discrete Particle Swarm Algorithm Based on Quantum Coding

Abstract

Quantum-coded discrete particle swarm optimization (QBPSO) is a new optimization method which combines quantum computation principle and traditional particle swarm optimization (PSO) algorithm. By introducing the probabilistic representation of qubits, the algorithm improves the population diversity and enhances the global search ability. In the distribution network reconfiguration problem, the algorithm can be used to find the optimal structure of the network in order to reduce the loss, balance the load, improve the reliability of power supply and so on.