Open AccessRecommendations of Optimal Sampling Rates for Periodic Output Feedback Based Discrete Mode PSS
Author(s) -
Mahendra Bhadu
Publication year - 2021
Publication title -
maǧallaẗ al-abḥāṯ al-handasiyyaẗ
Language(s) - English
Resource type - Journals
eISSN - 2307-1885
pISSN - 2307-1877
DOI - 10.36909/jer.emsme.13855
Subject(s) - control theory (sociology) , particle swarm optimization , sampling (signal processing) , mode (computer interface) , controller (irrigation) , signal (programming language) , power (physics) , stability (learning theory) , computer science , algorithm , control (management) , physics , filter (signal processing) , quantum mechanics , artificial intelligence , machine learning , agronomy , computer vision , biology , programming language , operating system
In this paper, an attempt is made to recommend the optimal sampling time period for Periodic Output Feedback (POF) based discrete mode power system stabilizer (DPSS). Various collection of input and output sampling time interval has been used in the designing of POF based DPSS. The Particle Swarm Optimization (PSO) technique is used to obtain the optimal gain matrix of the POF controller as well as the optimal sampling time intervals. The effectiveness of POF based DPSS over continuous mode lead-lag PSS is certified using small-signal stability studies. The parameters of lead-lag type continuous mode PSS is also tuned using the PSO technique. The PSS is designed using POF technique for single machine infinite bus (SMIB) system, considering a variety of sampling time intervals at input-output port. Finally, a trial is made to propose an optimum input and output sampling time period for SMIB test power system, through simulation studies.