Energy Storage Inverter Control Based on Neural Network Inverse Model

被引：0

作者：

Liu, Weiliang ^{[1
]}

Zhang, Haining ^{[2
]}

Liu, Changliang ^{[3
]}

Lin, Yongjun ^{[3
]}

Ma, Liangyu ^{[3
]}

Chen, Wenying ^{[3
]}

机构：

[1] North China Elect Power Univ, Lab Alternate Elect Power Syst Renewable Energy S, Baoding, Hebei Province, Peoples R China

[2] Qinghai Power Grid Corp, Elect Power Res Inst, Key Lab Grid Connected Photovolta Technol, Xining, Qinghai Provinc, Peoples R China

[3] North China Elect Power Univ, Lab Alternate Elect Power Syst Renewable Energy S, Baoding, Hebei Province, Peoples R China

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION | 2015年

关键词：

Energy storage inverter; Pseudo linear system; Neural network inverse model; PI controller;

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 output voltage waveform quality of single-phase energy storage inverter is an important measurement index of its performance. In this paper, the mathematical model of single-phase energy storage inverter is analyzed, and its inverse model is established using BP neural network. Combined with a single loop PI controller, two different control methods are proposed based on the inverse model. One method is to take the output of the neural network inverse model as a feed forward, and superimpose it to the output of a single loop PI controller; another method is to cascade the neural network inverse model and its original model to form a pseudo linear system, and then adopt PI controller to perform single loop control. Simulation results show that, comparing with simple single loop PI controller, the two control methods proposed in this paper could effectively improve the dynamic response speed of the inverter output voltage and reduce the harmonic content.

引用

页码：3032 / 3036

页数：5

共 50 条

[1] Simulation of Micro-grid Energy Storage Inverter with Neural Network Control
Zeng, Huaqing
Liu, Changliang
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2017, : 4301 - 4306
[2] Control Strategy for Energy Storage System Inverter Based on Fuzzy PIλDμ Neural Network Controller
Fan, Bo
Ni, Lei
Niu, Tian-lin
Wang, Jun-li
PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS, 2015, 35 : 1618 - 1623
[3] Support Vector Machine Inverse Control for An Energy Storage Inverter
Lv, Lixia
Zhu, Tengyi
Liu, Weiliang
Liu, Changliang
Huang, Peng
Wang, Yufang
2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC), 2015, : 81 - 86
[4] Neural Network Based Energy Storage Control for Wind Farms
Novakovic, Bora
Pashaie, Ramin
Nasiri, Adel
2014 IEEE SYMPOSIUM POWER ELECTRONICS AND MACHINES FOR WIND AND WATER APPLICATIONS (PEMWA), 2014,
[5] The control of MSF desalination plants based on inverse model control by neural network
Alishiri, Maryam (m.alishiri@bonian.org), 1600, Elsevier B.V., Netherlands (333):
[6] The control of MSF desalination plants based on inverse model control by neural network
Tayyebi, Shokoufe
Alishiri, Maryam
DESALINATION, 2014, 333 (01) : 92 - 100
[7] Steering gear control based on neural network inverse model identification
Wu, A. (wuanpingtech@163.com), 1600, Huazhong University of Science and Technology (41):
[8] Artificial Neural Network Based Inverse Model Control Of A Nonlinear Process
Rajesh, R. J.
Preethi, R.
Mehata, Parth
Pandian, Jaganatha B.
2015 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND CONTROL (IC4), 2015,
[9] Robot learning control based on recurrent neural network inverse model
Yan, LL
Li, CJ
JOURNAL OF ROBOTIC SYSTEMS, 1997, 14 (03): : 199 - 212
[10] Artificial Neural Network Based Inverse Model Control Of A Nonlinear Process
Rajesh, R. J.
Preethi, R.
Mehata, Parth
Pandian, Jaganatha B.
2015 International Conference on Computing, Communication and Security (ICCCS), 2015,

← 1 2 3 4 5 →