A Quantum Particle Swarm Optimization Algorithm with Available Transfer Capability

被引：4

作者：

Qu Liping ^{[1
]}

Meng Yan ^{[2
]}

Li Dongheng ^{[3
]}

Xue Hai-bo ^{[4
]}

机构：

[1] Beihua Univ, Engn Training Ctr, Jilin 132011, Jilin, Peoples R China

[2] Jilin Prov Ind Technician Coll, Dept Elect Engn, Jilin 132011, Jilin, Peoples R China

[3] State Grid Jilin Elect Power Co Ltd, Shulan Power Supply Co, Jilin 132011, Jilin, Peoples R China

[4] Jilin Municipal Govt, Jilin 132011, Jilin, Peoples R China

来源：

2020 19TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2020) | 2020年

关键词：

available transmission capacity; particle swarm optimization algorithm; quantum particle swarm optimization algorithm;

D O I：

10.1109/DCABES50732.2020.00076

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：267 / 270

页数：4

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