z-logo
open-access-imgOpen Access
Power System Stability Improvement by LQR Approach and PSS Considering Electric Vehicle as Disturbance
Author(s) -
Niharika Agrawal,
Mamatha Gowda
Publication year - 2022
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2022.03.03
Subject(s) - control theory (sociology) , electric power system , low frequency oscillation , stability (learning theory) , computer science , work (physics) , power (physics) , disturbance (geology) , transfer function , controller (irrigation) , electric power transmission , engineering , control (management) , physics , mechanical engineering , machine learning , artificial intelligence , biology , electrical engineering , agronomy , quantum mechanics , paleontology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom