ICTACT Journal on Soft Computing

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MFFN based IPFC for Enhancement of Power System Security


Affiliations
1 Department of Electrical Engineering, Priyadarshini Institute of Engineering and Technology, India
2 Department of Electrical Engineering, GH Raisoni College of Engineering, India
3 Department of Electrical Engineering, Indian Institute of Technology Delhi, India
     

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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.

Keywords

FACTS, IPFC, MFFN, Damping of Oscillations.
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  • MFFN based IPFC for Enhancement of Power System Security

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Authors

S. N. Dhurvey
Department of Electrical Engineering, Priyadarshini Institute of Engineering and Technology, India
V. K. Chandrakar
Department of Electrical Engineering, GH Raisoni College of Engineering, India
D. P. Kothari
Department of Electrical Engineering, Indian Institute of Technology Delhi, India
P. P. Ashtankar
Department of Electrical Engineering, Priyadarshini Institute of Engineering and Technology, India

Abstract


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.

Keywords


FACTS, IPFC, MFFN, Damping of Oscillations.

References