Open AccessUsing Teaching Learning Based Optimization to Efficacious and Tuning of UPFC-PODs of Interconnected Systems
Author(s) -
Zinah S. Hasan,
Majli Nema Hawas
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/745/1/012001
Subject(s) - control theory (sociology) , electric power system , oscillation (cell signaling) , stabilizer (aeronautics) , controller (irrigation) , point of delivery , computer science , power (physics) , pid controller , control engineering , engineering , control (management) , physics , artificial intelligence , biology , mechanical engineering , temperature control , agronomy , quantum mechanics , genetics
This paper offers a systematic procedure for modelling and simulating a teaching-learning-based optimization (TLBO) technique that exercised with styling power system stabilizer (PSS) and UPFC-controller for 6-bus test system. TLBO is used to find an effective and powerful solution for power system stabilizers (PSS) and the power oscillation damping (POD) controller in power systems. The results show the fast damping oscillations and rapidly reaching the steady state with TLBO compared to other methods such as PI-POD and UPFC individually. The parameters of traditional PI are adjusted using try and error method.