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Content Provider | IET Digital Library |
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Author | Lin, Faa Jeng Tan, Kuang Hsiung Tsai, Chia Hung |
Abstract | An improved differential evolution (IDE) algorithm-based Elman neural network (ENN) controller is proposed to control a squirrel-cage induction generator (SCIG) system for grid-connected wind power applications. First, the control characteristics of a wind turbine emulator are introduced. Then, an AC/DC converter and a DC/AC inverter are developed to convert the electric power generated by a three-phase SCIG to the grid. Moreover, the dynamic model of the SCIG system is derived for the control of the square of DC-link voltage according to the principle of power balance. Furthermore, in order to improve the transient and steady-state responses of the square of DC-link voltage of the SCIG system, an IDE-based ENN controller is proposed for the control of the SCIG system. In addition, the network structure and the online learning algorithm of the ENN are described in detail. Additionally, according to the different wind speed variations, a lookup table built offline by the dynamic model of the SCIG system using the IDE is provided for the optimisation of the learning rates of ENN. Finally, to verify the control performance, some experimental results are provided to verify the feasibility and the effectiveness of the proposed SCIG system for grid-connected wind power applications. |
Starting Page | 988 |
Ending Page | 1001 |
Page Count | 14 |
ISSN | 17521416 |
Volume Number | 10 |
e-ISSN | 17521424 |
Issue Number | Issue 7, Aug (2016) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-rpg/10/7 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-rpg.2015.0329 |
Journal | IET Renewable Power Generation |
Publisher Date | 2016-08-01 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | AC-DC Power Converter Asynchronous Generator Asynchronous Machine Control of Electric Power System DC-AC Power Inverter DC-link Voltage Square Control Electric Power Conversion Evolutionary Computation Grid-connected Wind Power Application IDE-based ENN Intelligent Controller Algorithm Improved Differential Evolution-based Elman Neural Network Controller Invertors Learning in AI Learning Rate Optimization Lookup Table Machine Control Network Structure Neurocontrol Neurocontrollers Online Learning Algorithm Optimisation Technique Power Balance Principle Power Generation Control Power Grid Squirrel-cage Induction Generator System Steady-state Responses Three-phase SCIG System Transient Response Transient Responses Voltage Control Wind Power Plant Wind Speed Variations Wind Turbine Wind Turbine Emulator Control Characteristic |
Content Type | Text |
Resource Type | Article |
Subject | Renewable Energy, Sustainability and the Environment |
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