A Quantum Particle Swarm Optimization Algorithm with Available Transfer Capability

Quan Liping, Meng Yan, Li Dong-heng, Xue Hai-Bo
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引用次数: 2

Abstract

Quantum particle swarm algorithm integrated the quantum behavior with particle swarm optimization algorithm, is used to settle the majorization question of calculating available transmission capability. And by using the software of Matlab to IEEE-30 bus system as an example of the simulation, after comparing the simulation results with the traditional particle swarm optimization algorithm results, we dissected the optimization performance and convergence speed of the above two algorithms, and verify the effectiveness of quantum particle swarm algorithm to settle the majorization question of the available transmission capability.
一种具有可用传输能力的量子粒子群优化算法
量子粒子群算法将量子行为与粒子群优化算法相结合,解决了可用传输能力计算的多数化问题。并以Matlab软件对IEEE-30总线系统进行仿真为例,在将仿真结果与传统粒子群优化算法结果进行对比后,剖析了上述两种算法的优化性能和收敛速度,验证了量子粒子群算法解决可用传输能力多数化问题的有效性。
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