一种可用输电能力量子粒子群优化算法

A Quantum Particle Swarm Optimization Algorithm with Available Transfer Capability

以量子行为与粒子群优化相融合的量子粒子群算法解决可用输电能力计算的优化问题.利用Matlab软件平台,以IEEE-30节点标准系统为算例进行仿真计算,比较本算法与传统粒子群算法的仿真结果,分析两种算法的寻优性能和收敛速度.仿真结果验证了量子粒子群算法解决可用输电能力优化问题的有效性.

Quantum particle swarm algorithm integrated the quantum behavior with particle swarm optimization algorithm,is used to solve the optimization problem of calculating available transmission capability. And by using the software of Matlab to IEEE-30 node system as an example of the simulation,after comparing the simulation results with the traditional particle swarm optimization algorithm results,we analyze the optimization performance and convergence speed of the above two algorithms,and verify the effectiveness of quantum particle swarm algorithm to solve the optimization problem of the available transmission capability.