000			01874nam a2200157Ia 4500
999			_c62683 _d62680
100			_a13MPE12
100			_aHyder Ali Abbasi _a13MPE12 _aSupervisor - Dr. Javed Ahmed Laghari
245		0	_aApplication of Adaptive Neuro Fuzzy Inference System (Anfis) for Load Frequency Control of Natural Gas Power Plants of Jamshoro Joint Ventures Limited (JJVL) (ME Thesis)
260			_bQUEST
260			_c2018
300			_a51
500			_aABSTR 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.
700			_aDepartment of Electrical Engineering
856			_uhttp://tinyurl.com/ms5682z6
942			_cTHESIS