Open AccessRBFN Based IPFC for Enhancement of Power System Security
Author(s) -
S.N. Dhurvey,
V. K. Chandrakar,
P.P. Ashtankar,
P.R. Rothe
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1881.078219
Subject(s) - flexibility (engineering) , computer science , controller (irrigation) , control theory (sociology) , matlab , pid controller , fault (geology) , noise (video) , control engineering , control (management) , artificial intelligence , engineering , mathematics , temperature control , statistics , seismology , geology , agronomy , image (mathematics) , biology , operating system
Where the information is perverted by extreme noise level, causes complicated relationship between information and its yield. In that case, ANN is well known to solve this dilemma by giving fine result. Now, for specification and fine tuning of parameter, role of RBFN comes into picture. For optimizing the adoptability of the computational operation, Radial basis function (RBF) networks [10] is suggested which reduces execution time by providing more flexibility to identify the dynamic changes. For checking strength of 10-machine system, while designing, two signals: variation in V & variation in Vdc are correlated. Competency of PI controller with RBFN has been analyzed under varying system conditions. Influence of additional suppression controller: POD is designed to get promising results. Recommended intelligent controllers are having proficiency of scrutinizing unique features of IPFC. Feasibility of different controllers subject to a three phase fault are studied and investigated on time domain basis in MATLAB software to verify the effectiveness of each controller.