RBFN Based IPFC for Enhancement of Power System Security
S.N. Dhurvey1, V. K. Chandrakar2, P.P. Ashtankar3, P.R. Rothe4 

1Dr. S.N. Dhurvey, Dept. of Electrical Engg., Priyadarshini Institute of Engg. & Technology, Nagpur, India.
2Dr. V. K. Chandrakar, Dept. of Electrical Engg., G. H. Raisoni College of Engg., Nagpur, India.
3Dr. P.P. Ashtankar, Dept. of Electronics & Telecommunications Engg, Priyadarshini College of Engg., Nagpur, India.
4Dr. P.R. Rothe, Dept. of Electronics Engg., Priyadarshini College of Engg., Nagpur, India.

Manuscript received on 02 March 2019 | Revised Manuscript received on 06 March 2019 | Manuscript published on 30 July 2019 | PP: 1828-1832 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1881078219/19©BEIESP | DOI: 10.35940/ijrte.B1881.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: 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.
Index Terms: RBFN

Scope of the Article: Low-power design