GRNN Application in Power Systems Simulation for Integrated SOFC Plant Dynamic Model
In this paper, the application of GRNN in
modeling of SOFC fuel cells were studied. The parameters
are of interested as voltage and power value and the current
changes are investigated. In addition, the comparison between
GRNN neural network application and conventional method
was made. The error value showed the superlative results.
[1] Y. Zhu, K. Tomsovic, Development of models for analyzing the loadfollowing
performance of microturbines and fuel cells, Electric Power
systems Research 62 (2002) 1-11.
[2] Oonsivilai, A. and M.E. El-Hawary: "A Self-Organizing Fuzzy Power
System Stabilizer", IEEE. CCECE-98, 1998.
[3] Oonsivilai, A. and M.E. El-Hawary: "Power System Dynamic Load
Modeling using Adaptive-Network-Based Fuzzy Inference System",
IEEE. CCECE-99, 1999.
[4] Oonsivilai, A. and M.E. El-Hawary : "Wavelet Neural Network Based
Short Term Load Forecasting of Electric Power System Commercial
Load", IEEE. CCECE-99, 1999.
[5] Satonsaowapak, M., Krapeedang, M., Oonsivilai, R., and Oonsivilai, A.
2010. Gas flow rate identification in biomass power plants by response
surface method. World Academy of Science, Engineering, and
Technology, Paris, France, 27-29 October, pp: 261 - 264.
[1] Y. Zhu, K. Tomsovic, Development of models for analyzing the loadfollowing
performance of microturbines and fuel cells, Electric Power
systems Research 62 (2002) 1-11.
[2] Oonsivilai, A. and M.E. El-Hawary: "A Self-Organizing Fuzzy Power
System Stabilizer", IEEE. CCECE-98, 1998.
[3] Oonsivilai, A. and M.E. El-Hawary: "Power System Dynamic Load
Modeling using Adaptive-Network-Based Fuzzy Inference System",
IEEE. CCECE-99, 1999.
[4] Oonsivilai, A. and M.E. El-Hawary : "Wavelet Neural Network Based
Short Term Load Forecasting of Electric Power System Commercial
Load", IEEE. CCECE-99, 1999.
[5] Satonsaowapak, M., Krapeedang, M., Oonsivilai, R., and Oonsivilai, A.
2010. Gas flow rate identification in biomass power plants by response
surface method. World Academy of Science, Engineering, and
Technology, Paris, France, 27-29 October, pp: 261 - 264.
@article{"International Journal of Electrical, Electronic and Communication Sciences:49346", author = "N. Nim-on and A. Oonsivilai", title = "GRNN Application in Power Systems Simulation for Integrated SOFC Plant Dynamic Model", abstract = "In this paper, the application of GRNN in
modeling of SOFC fuel cells were studied. The parameters
are of interested as voltage and power value and the current
changes are investigated. In addition, the comparison between
GRNN neural network application and conventional method
was made. The error value showed the superlative results.", keywords = "SOFC, GRNN, Fuel cells.", volume = "6", number = "12", pages = "1373-6", }