DocumentCode :
2150267
Title :
Intelligent PI control technique in four area Load Frequency Control of interconnected hydro-thermal power system
Author :
Prakash, Sachin ; Sinha, Sujeet Kumar
Author_Institution :
S.S.E.T., Dept. of Electr. & Electron. Eng., Sam Higginbottom Inst. of Agric., Technol. & Sci., Allahabad, India
fYear :
2012
fDate :
21-22 March 2012
Firstpage :
145
Lastpage :
150
Abstract :
This paper present the Load Frequency Control (LFC) of four area hydrothermal interconnected power system by using Artificial Neural Network (ANN) and conventional PI control approach. Area-1 and area-2 consists of thermal reheat power plant whereas area-3 and area-4 consists of hydro power plant. To enhance the performance of PI and Neural controller sliding surface is included. The performances of the controllers are simulated using MATLAB/SIMULINK package. A comparison of and ANN and PI controller based approaches shows the superiority of proposed ANN based approach over PI for same conditions.
Keywords :
PI control; frequency control; hydrothermal power systems; load management; neurocontrollers; power generation control; power system interconnection; ANN; LFC; MATLAB-SIMULINK package; PI controller sliding surface; area hydrothermal interconnected power system; artificial neural network; four area load frequency control; hydro power plant; intelligent PI control technique; neural controller sliding surface; performance enhancement; thermal reheat power plant; Artificial neural networks; ANN Controller; Area Control Error (ACE); Load Frequency Control (LFC); MATLAB / SIMULINK; PI Controller; Tie-line;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on
Conference_Location :
Kumaracoil
Print_ISBN :
978-1-4673-0211-1
Type :
conf
DOI :
10.1109/ICCEET.2012.6203749
Filename :
6203749
Link To Document :
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