Fuzzy-PID controller optimized TLBO algorithm on automatic generation control of a two-area interconnected power system

• Published in: 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015] pp. 1 - 4
• Main Authors: Nayak, Jyoti Ranjan, Pati, Tridipta Kumar, Sahu, Binod Kumar, Kar, Sanjeeb Kumar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-03-2015
• Subjects: Automatic generation control; Automatic Generation Control (AGC); Education; Frequency control; Fuzzy Proportional Integral Derivative (FPID) controller; Power system dynamics; Power system stability; Proportional Integral derivative Controller (PID); Teaching Learning Based Optimization (TLBO) algorithm; Time-frequency analysis
• DOI: 10.1109/ICCPCT.2015.7159427

Design and performance analysis of load flow frequency of a two area four unit interconnected non-reheat thermal power system is depicted in this paper. Two different controllers that are fuzzy proportional integral-derivative (FPID) controller & proportional integral-derivative (PID) are used to study transient response of the proposed system. Area1 consists of two thermal generating units with non-reheat turbines as well as area2 also. The gains of FPID & PID controllers are optimized by using a novel Teaching Learning Based Optimization (TLBO) technique. Step load of 10 % is applied to area1 to study dynamic performance of different proposed controller. Finally it is observed that the FPID controller of single input configuration performs better than the other.