Open AccessPower System Dynamic Stability Improvement with UPFC using LQR Technique
Author(s) -
Brijesh Kumar Dubey,
Dr Achyut Narayan Kesari,
Ravi Gupta,
Nitish Kumar Singh
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.f8968.109119
Subject(s) - control theory (sociology) , settling time , electric power system , controller (irrigation) , power (physics) , oscillation (cell signaling) , computer science , stability (learning theory) , engineering , control engineering , control (management) , step response , physics , agronomy , genetics , quantum mechanics , artificial intelligence , machine learning , biology
Many damping controller devices based on other techniques have been proposed time to time. For the study of the damping performance, it has been proposed a power systems model with ‘UPFC’ and power oscillation damping controller in the present article. The proposed controller performance has been studied under different simulation condition results and that also includes various loading condition, i.e., normal with 100 percent, under loading 80 percent and overloading with 120 percent at different operational points. Finally, a better result has been observed by using the proposed damping controlling device than earlier available existing devices. However, the result obtained by using Eigen value analysis is supported by the facts obtained by the settling time analysis and the analysis of simulation results.