Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System
Joint Authors
Du, Xiaoqiang
Song, Y. D.
Cao, Qian
Karimi, Hamid Reza
Source
Journal of Applied Mathematics
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-11-19
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper deals with an energy management of a hybrid power generation system.
The proposed control strategy for the energy management is based on the combination of wavelet transform and neural network arithmetic.
The hybrid system in this paper consists of an emulated wind turbine generator, PV panels, DC and AC loads, lithium ion battery, and super capacitor, which are all connected on a DC bus with unified DC voltage.
The control strategy is responsible for compensating the difference between the generated power from the wind and solar generators and the demanded power by the loads.
Wavelet transform decomposes the power difference into smoothed component and fast fluctuated component.
In consideration of battery protection, the neural network is introduced to calculate the reference power of battery.
Super capacitor (SC) is controlled to regulate the DC bus voltage.
The model of the hybrid system is developed in detail under Matlab/Simulink software environment.
American Psychological Association (APA)
Song, Y. D.& Cao, Qian& Du, Xiaoqiang& Karimi, Hamid Reza. 2013. Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System. Journal of Applied Mathematics،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-467169
Modern Language Association (MLA)
Song, Y. D.…[et al.]. Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System. Journal of Applied Mathematics No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-467169
American Medical Association (AMA)
Song, Y. D.& Cao, Qian& Du, Xiaoqiang& Karimi, Hamid Reza. Control Strategy Based on Wavelet Transform and Neural Network for Hybrid Power System. Journal of Applied Mathematics. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-467169
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-467169