Voltage control strategy based on immune particle swarm optimization algorithm

被引：0

作者：

Jiang, Minghua ^{[1
]}

机构：

[1] School of Telecom, ChongQing College of Electronic Engineering, ChongQing, China

来源：

Computer Modelling and New Technologies | 2014年 / 18卷 / 12期

关键词：

As a new swarm intelligence algorithm after Ant Colony Algorithm (ACA); Immune Particle Swarm Optimization (IPSO) is currently an important branch of evolutionary algorithm. Its basic idea is influenced and inspired by research results of their modeling and simulation of behaviors of swarms of birds in earlier periods. And their model and simulation algorithm mainly took use of biologist FrallkHeppner's model. Though PSO algorithm has been effectively applied in many areas; it has a short development history and problems exist in global convergence. Because IPSO Algorithm has the characteristics of loose mathematical condition; fast convergence speed and simple programming; this paper tries to minimize transformer loss using the IPSO algorithm; providing a new method to solve the automatic voltage control problem (AVC problem);

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

页码：167 / 171

共 50 条

[1] A Research on Control Strategy of STATCOM based on Particle Swarm Optimization Algorithm
Zhang Guangming
Wang Maojun
Qiang, Gao
Zhong Dantian
Bin, Yang
Wei, Qin
Peng, Ye
[J]. PROCEEDINGS OF 2015 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT 2015), 2015, : 745 - 748
[2] Research on Photovoltaic Control Strategy Based on Particle Swarm Optimization Algorithm
Chen, Huaizhong
[J]. PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016), 2016, 130 : 504 - 508
[3] An optimization algorithm for WNN based on immune particle swarm
Wang, Fei
Shi, Jianfang
Yang, Jing
[J]. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2011, 7004 LNAI (PART 3): : 326 - 333
[4] A Coordinated Control Strategy of Flywheel Array Based on Particle Swarm Optimization Algorithm
Ren J.
Ma H.
Yao M.
[J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2021, 36 : 381 - 388
[5] Diagnostic Strategy Optimization Based On Particle Swarm Algorithm
Zhang, Yansheng
Qiao, Zhongtao
Jing, Jianhui
[J]. ADVANCES IN DESIGN TECHNOLOGY, VOLS 1 AND 2, 2012, 215-216 : 555 - 560
[6] An Optimization Algorithm for WNN Based on Immune Particle Swarm
Wang, Fei
Shi, Jianfang
Yang, Jing
[J]. ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, PT III, 2011, 7004 : 326 - 333
[7] New elevator dispatching strategy based on hybrid immune particle swarm optimization algorithm
School of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China
[J]. Huanan Ligong Daxue Xuebao, 2008, 8 (1-5):
[8] Wind Farm Reactive Power and Voltage Control Strategy Based on Adaptive Discrete Binary Particle Swarm Optimization Algorithm
Li, Jihong
Huang, Hongyang
Lou, Boliang
Peng, Yan
Huang, Qinxin
Xia, Kai
[J]. 2019 IEEE ASIA POWER AND ENERGY ENGINEERING CONFERENCE (APEEC 2019), 2019, : 99 - 102
[9] Trajectory tracking control strategy of manipulator based on improved particle swarm optimization algorithm
Gang, Mingyi
Pan, Xiaobo
Tang, Kaiyuan
Xia, Xingguo
Feng, Benxiu
[J]. AICCC 2021: 2021 4TH ARTIFICIAL INTELLIGENCE AND CLOUD COMPUTING CONFERENCE, 2021, : 234 - 238
[10] An Artificial Immune Classification Algorithm based on Particle Swarm Optimization
Ye, Lian
Xing, Yong-Kang
Xiang, Wei-Ping
[J]. JOURNAL OF COMPUTERS, 2013, 8 (03) : 772 - 778

← 1 2 3 4 5 →