DYNAMIC STABILITY ENHANCEMENT OF POWER SYSTEM USING FUZZY LOGIC BASED POWER SYSTEM STABILIZER

Abstract

Synchronisation loss and frequent breakdowns of power systems with subject to low frequency oscillations are a major threat to power system. Oscillations of 0.2 to 3.0 Hz, are caused due to system disturbances which in some cases may increase also. The reduction of power transmission capability and loss of synchronism and even breakdown of whole power system are the result of these oscillations. The conventional methods to improve power system stability are usually sluggish in nature. Design of quicker and reliable control techniques have always been a tedious task for a power engineer. Newer techniques like Fuzzy, Neural network, genetic algorithm and hybrid of these namely Neuro-Fuzzy, etc. are promising future solutions which is seen in the literature. Fuzzy systems eliminate the mathematical blocks and thus reduce the system complexity by reducing the time for control. Using Fuzzy Logic causes the implementation easier and increases the computational capability. A single machine connected to an infinite bus is used here and fuzzy logic controller is used to control the response, finally the results are computed and compared with the conventional solution techniques to prove the advantage of the Fuzzy logic.