TY  - BOOK
AU  - 13MPE12
AU  - Hyder Ali Abbasi 
AU  - Department of Electrical Engineering  
TI  - Application of Adaptive Neuro Fuzzy Inference System (Anfis) for Load Frequency Control of Natural Gas Power Plants of Jamshoro Joint Ventures Limited (JJVL) (ME Thesis)
PB  - QUEST
N1  - ABSTR ACT

Natural gas power plants encounter the problem in speed control because of continuous s variation in load. Conventionally, PID controllers are utilized to stabilize frequency during load variations. However , PID controllers d due to their limitation of tuning of parameters could not succeed to provide optimum speed control. Alternatively, computational intelligence based techniques like Fuzzy Logic Control, Artificial neural networks (ANN), and Adaptive Neuro Fuzz} Inference system (ANFIS) can be used to implement intelligent control for the nonlinear system. This research has applied ANFIS based governor for frequency/speed regulation of natural gas power plants. The test system considered for this research consists of distribution system of JJVL Plant. The response of proposed technique has been analyzed for various load variation cases in terms of undershoot, overshoot and settling time taken by the frequency to become stable. The simulation results of the proposed ANFIS based technique has been validated by comparing it with the response of the PID based controller. The simulation results have shown that ANFIS is able to settle the system more efficiently compared to the PID controller without any noticeable oscillation or
system instability.























UR  - http://tinyurl.com/ms5682z6
ER  -