Title page for etd-0704111-161507


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URN etd-0704111-161507
Author Edrissa Jarjue
Author's Email Address No Public.
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Department IMEPE
Year 2010
Semester 2
Degree Master
Type of Document
Language English
Title Dynamic Simulation of a Hybrid Wind/Diesel Isolated Power
System Using Artificial Neural Network
Date of Defense 2011-06-22
Page Count 97
Keyword
  • Isolated Hybrid System
  • Non-Dispatchable
  • Artificial Neural Network
  • Frequency and Voltage Regulators
  • Abstract An isolated hybrid system comprised of a dispatchable and a non-dispatchable power generation sources, is proposed to supply the load of a remote village in the west coast region of The Gambia. The thesis presents an artificial neural network (ANN) based approach to tune the parameters of the frequency regulator in hybrid wind/diesel power system for isolated area power supply. The multi-layer feed-forward ANN with the error back-propagation training is employed to tune the frequency regulator in the simulation of hybrid system under different load and wind conditions. Using MATLAB/Simulink, dynamic simulations are performed to investigate the interaction between these two power sources for the load management, and the voltage and frequency behaviors during wind speed and load variations. Simulation results show that the wind turbine and the diesel generator can be operated suitably in parallel. During simulation, the frequency and voltage regulators used in the proposed hybrid system performed fairly well under wind speed variations and load changing conditions. A good frequency regulator interface, which is around 50Hz is observed for nearly the entire period of operation.
    Advisory Committee
  • Ta-Peng Tsao - chair
  • Jen-Hao Teng - co-chair
  • Whei-Min Lin - advisor
  • Files
  • etd-0704111-161507.pdf
  • indicate in-campus access in a year and off_campus not accessible
    Date of Submission 2011-07-04

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