vioft2nntf2t|tblJournal|Abstract_paper|0xf4ffd9462b0000001311030001000700 ANN is the structure of neurons making transportation and communication of data. Instructing of neural network is capturing the unknown information. For optimizing the adoptability of the computational operation, MFFN (Multilayer feed forward network) controller 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 voltage and variation in capacitor voltage are correlated. Competency of PI controller with MFFN 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.
S N Dhurvey1, V K Chandrakar2, D P Kothari3, P P Ashtankar4
Priyadarshini Institute of Engineering and Technology, India1,4, GH Raisoni College of Engineering, India2, Indian Institute of Technology Delhi, India3
FACTS, IPFC, MFFN, Damping of Oscillations
| January | February | March | April | May | June | July | August | September | October | November | December |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 9 , Issue: 4 , Pages: 1988-1992 )
Date of Publication :
July 2019
Page Views :
138
Full Text Views :
|