Performance Analysis of Transient Stability and Its Improvement Using Fuzzy Logic Based Power System Stabilizer
Power system Transient Stability, AVR, Power System Stabilizer, Fuzzy Logic, Neuro-Fuzzy
This article is focused on the implementation of Fuzzy Logic Controller based Power system Stabilizer to enhanced transient stability of the multi machine system. Power system is very complex as well as highly nonlinear system. At present, there are different control mechanism used to control excitation system of the generator to enhance stability of system. Power system stabilizer (PSS) installed in the excitation system of the synchronous generator to improve the small-signal power system stability by damping out low frequency oscillations signal. It does that by providing supplementary perturbation signals in a feedback path to the alternator excitation system. The use of power system stabilizer has become very common in operation of large electric power systems. The conventional PSS which uses lead-lag compensation, where gain setting designed for specific operating conditions, is giving poor performance under different loading conditions. Therefore, it is very difficult to design a stabilizer that could present good performance in all operating points of electric power systems. To minimize the problem with conventional controller, paper present robust control method which based on artificial intelligent. Fuzzy logic control has been suggested as a possible solution to overcome this problem, thereby using linguist information and avoiding a complex system mathematical model, while giving good performance under different operating conditions. For analysis of stability, 2-machine 3-bus model used and simulation carried out with CPSS as well FLPSS.
Dilip Parmar, Amit ved. "Performance Analysis of Transient Stability and Its Improvement Using Fuzzy Logic Based Power System Stabilizer".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.635-647, URL :https://rjwave.org/ijedr/papers/IJEDR1502115.pdf
Volume 3 Issue 2
Pages. 635-647
