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

Autor: Chih-Ming Hong, Fu-Sheng Cheng, Xiaojing Tan, Kai-Hung Lu
Rok vydání: 2021
Předmět:
wave energy conversion system (WECS)
function link-based Wilcoxon radial basis function network controller (FLWRBFN)
Control and Optimization
Radial basis function network
doubly-fed induction generator (DFIG)
Computer science
020209 energy
Energy Engineering and Power Technology
02 engineering and technology
lcsh:Technology
Robustness (computer science)
Control theory
0202 electrical engineering
electronic engineering
information engineering
Electrical and Electronic Engineering
Engineering (miscellaneous)
lcsh:T
Renewable Energy
Sustainability and the Environment
020208 electrical & electronic engineering
Induction generator
Particle swarm optimization
Power (physics)
Electricity generation
differential evolution with particle swarm optimization (DEPSO)
Intelligent control
Energy (miscellaneous)
Zdroj: Energies; Volume 14; Issue 7; Pages: 2027
Energies, Vol 14, Iss 2027, p 2027 (2021)
ISSN: 1996-1073
DOI: 10.3390/en14072027
Popis: 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.
Databáze: OpenAIRE
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