刘迪,张强,吕干云.量子粒子群算法在配电网重构中的改进和应用[J].电测与仪表,2022,59(3):58-65. Liu Di,Zhang Qiang,Lv Ganyun.Improvement and application of quantum particle swarm optimization in distribution network reconfiguration[J].Electrical Measurement & Instrumentation,2022,59(3):58-65.
量子粒子群算法在配电网重构中的改进和应用
Improvement and application of quantum particle swarm optimization in distribution network reconfiguration
Aiming at the shortcomings of traditional algorithms, such as premature convergence and low computational efficiency, an improved quantum particle swarm optimization algorithm is proposed and applied to the reconfiguration of distribution network with distributed generation. Considering the economy and reliability of distribution network, this paper establishes the distribution network reconfiguration model with the index of active power loss and voltage stability as the objective function, and improves the global convergence, convergence speed and coding strategy of the traditional algorithm. The tournament selection strategy of genetic algorithm is introduced to expand the population diversity and improve the global convergence ability; chaos formula is used to improve the initial population and the particles with poor fitness value to increase the calculation accuracy and speed up the convergence speed; the decimal ring coding strategy and topology detection steps are adopted to reduce the generation probability of infeasible solutions and improve the operation efficiency. The example shows that this method is suitable for the distribution network reconfiguration with multiple distributed generation, and can effectively reduce the network loss, improve the node voltage and reduce the voltage stability index. Moreover, the calculation accuracy is high and it has certain practicability.
