Research of the Design of Hybrid Power Compensation Controller Based on Neural Networks

被引:0
作者
Zhao Jian-wei [1 ]
机构
[1] Baoding Vocat & Tech Coll, Dept Comp & Informat Engn, Baoding, Peoples R China
来源
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY | 2016年 / 60卷
关键词
Neural networks; Hybrid power compensation; Electric filters; Harmonics compensation;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The problem of harmonics compensation in power system was concerned in this paper. The method based on artificial neural network (ANN) about how to design the hybrid power compensation (HPC) controller was proposed. The HPC controller can automatically measure the harmonic currents and automatically change the compensate elements to realize the harmonic compensation. The concrete method of the ANN technology the training and test was described. The simulation results prove the validity using the ANN technology to control the HPC is an effective way to improve its dynamic performance.
引用
收藏
页码:81 / 85
页数:5
相关论文
共 50 条
[41]   Design and comparison of adaptive power system stabilizers based on neural fuzzy networks and genetic algorithms [J].
Fraile-Ardanuy, Jesus ;
Zufiria, P. J. .
NEUROCOMPUTING, 2007, 70 (16-18) :2902-2912
[42]   Hybrid identification of nuclear power plant transients with artificial neural networks [J].
Embrechts, MJ ;
Benedek, S .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2004, 51 (03) :686-693
[43]   Integral-Based Memory Event-Triggered Controller Design for Uncertain Neural Networks with Control Input Missing [J].
Wang, Ping ;
Wang, Zhen ;
Xu, Haiyang .
MATHEMATICS, 2025, 13 (05)
[44]   Controller design for synchronization of an array of delayed neural networks using a controllable probabilistic PSO [J].
Tang, Yang ;
Wang, Zidong ;
Fang, Jian-an .
INFORMATION SCIENCES, 2011, 181 (20) :4715-4732
[45]   Research on the prediction of financial market based on neural networks [J].
Pan Yong-quan ;
Yang Xiao .
Proceedings of 2004 Chinese Control and Decision Conference, 2004, :545-547
[46]   A novel hybrid approach for predicting wind farm power production based on wavelet transform, hybrid neural networks and imperialist competitive algorithm [J].
Aghajani, Afshin ;
Kazemzadeh, Rasool ;
Ebrahimi, Afshin .
ENERGY CONVERSION AND MANAGEMENT, 2016, 121 :232-240
[47]   TCENR: A Hybrid Neural Recommender For Location Based Social Networks [J].
Tal, Omer ;
Liu, Yang .
2018 18TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2018, :1186-1191
[48]   PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks [J].
Wang, Haoqian ;
Luo, Yi ;
An, Wangpeng ;
Sun, Qingyun ;
Xu, Jun ;
Zhang, Lei .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 31 (12) :5079-5091
[49]   Implementation of offline iterative hybrid simulation based on neural networks [J].
Gao, Fukang ;
Tang, Zhenyun ;
Du, Xiuli .
EARTHQUAKE ENGINEERING AND RESILIENCE, 2023, 2 (04) :383-402
[50]   New hybrid stream cipher based on chaos and neural networks [J].
Chen Tie-Ming ;
Jiang Rong-Rong .
ACTA PHYSICA SINICA, 2013, 62 (04)