TY - GEN
T1 - Application of neural networks to automatic load frequency control
AU - Nag, Soumyadeep
AU - Philip, Namitha
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/11/14
Y1 - 2014/11/14
N2 - The first theoretical analysis on PI controllers dates back to 1910. Even though the speed of response and overall stability of the system is slow, PI controllers are still used today. On the contrary, twenty first century customers, aware of power quality standards, demand faster response and very small settling. This paper reports the implementation of neural control to reduce load frequency fluctuations. A power system model has been simulated within a MATLAB environment. A comparative study between the frequency response of the system using a PI controller and a neural controller trained with Levenberg Marquardt algorithm has been done. The neural controller boasts of its superiority over a PI controller in terms of its settling time and peak overshoot and its simplicity of realization.
AB - The first theoretical analysis on PI controllers dates back to 1910. Even though the speed of response and overall stability of the system is slow, PI controllers are still used today. On the contrary, twenty first century customers, aware of power quality standards, demand faster response and very small settling. This paper reports the implementation of neural control to reduce load frequency fluctuations. A power system model has been simulated within a MATLAB environment. A comparative study between the frequency response of the system using a PI controller and a neural controller trained with Levenberg Marquardt algorithm has been done. The neural controller boasts of its superiority over a PI controller in terms of its settling time and peak overshoot and its simplicity of realization.
KW - ANN
KW - Levenberg-Marquardt
KW - PI
UR - https://www.scopus.com/pages/publications/84914680513
U2 - 10.1109/CIEC.2014.6959107
DO - 10.1109/CIEC.2014.6959107
M3 - Conference contribution
AN - SCOPUS:84914680513
T3 - International Conference on Control, Instrumentation, Energy and Communication, CIEC 2014
SP - 345
EP - 350
BT - International Conference on Control, Instrumentation, Energy and Communication, CIEC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 International Conference on Control, Instrumentation, Energy and Communication, CIEC 2014
Y2 - 31 January 2014 through 2 February 2014
ER -