Abstract:
A safe, stable and cost effective power system operation plays a vital role in the national economic market. However, with the rapid growing rate of power grid and increasing use of electrical energy, the stability of power system is becoming more and more prominent. The low frequency oscillation and users are serious threats to the safe and stable operation of interconnected power system. Taking into account the security considerations, it is very hard to undertake any electric test on power grid, so we have to use computer simulation to test and solve these problems. The objective of the present research is to design intelligent power system stabilisers for both single and multi-machine system to improve the stability of the power system. Mathematical model of single machine infinite bus (SMIB) is initially built from the first principle which forms the basis of designing various controllers. Classical PI and PID controllers are designed to stabiles the power system oscillations for SMIB system and their performance were investigated via simulations in MATLAB. The performance of PI and PID based power system stabilizer (PSS) was further improved by designing fuzzy logic based PSS. Some of the parameters of PSS are determined using genetic algorithm and neural network. The performance of various types of PSS is compared via simulations for SMIB. After designing PSS for SMIB, these are designed and tested for a multi machine power system considering an example of a 3 machine system.