Novel Intelligent Control Technology for Enhanced Stability Performance of an Ocean Wave Energy Conversion System

Kai-Hung Lu, Chih-Ming Hong, Xiaojing Tan and Fu-Sheng Cheng
Additional contact information
Kai-Hung Lu: School of Electronic and Electrical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China
Chih-Ming Hong: Department of Electronic Communication Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 811213, Taiwan
Xiaojing Tan: School of Electronic and Electrical Engineering, Minnan University of Science and Technology, Quanzhou 362700, China
Fu-Sheng Cheng: Department of Electrical Engineering, Cheng-Shiu University, Kaohsiung 83347, Taiwan

Energies, 2021, vol. 14, issue 7, 1-15

Abstract: In this article, a novelty control structure of grid-connected doubly-fed induction generator (DFIG) based on a function link (FL)-based Wilcoxon radial basis function network (FLWRBFN) controller is proposed. The back-propagation (BP) method is used online to train the node connecting weights of the FLWRBFN. To improve the online learning capability of FLWBFN, differential evolution with particle swarm optimization (DEPSO) is used to tune the learning rates of FLWRBFN. For high randomness of wave energy generation, the transmission power between generators and electrical grids is easy to unstable and AC bus voltage and DC voltage will also lose constant under the conditions of variable generator speed and variable load. Therefore, the proposed intelligent controller can maintain the above power balance and voltage constant and reduce fluctuation. Finally, PSCAD/EMTDC software is used to simulate and study various cases to confirm the robustness and usefulness of the proposed intelligent control technology applied to an ocean wave energy conversion system.

Keywords: function link-based Wilcoxon radial basis function network controller (FLWRBFN); wave energy conversion system (WECS); differential evolution with particle swarm optimization (DEPSO); doubly-fed induction generator (DFIG) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/7/2027/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/7/2027/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:7:p:2027-:d:531118

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().