Anfis Coordination of Changes In Power Oscillation Damper Parameters with Variation In Power System Operating Point

Dr I. I. Alabi; Dr A. I. Araga; Mr Sabo Aliyu

doi:10.21307/ijanmc-2019-016

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Anfis Coordination of Changes In Power Oscillation Damper Parameters with Variation In Power System Operating Point

International Journal of Advanced Network, Monitoring and Controls

Volume 3 (2018): Issue 4 (January 2018)

By: Dr I. I. Alabi, Dr A. I. Araga and Mr Sabo Aliyu

Open Access

|Oct 2019

Abstract

In this paper an Adaptive Neuro-Fuzzy Controller was designed to adaptively adjust the parameters of a power Oscillation Damper as the power system operating point changes due to change in operating point in a large interconnected Network fitted with FACTS device and Power Oscillation Damper. As a foundational work the generalized mathematic model of multi-machine power system with embedded FACTS was developes. The results obtained clearly reveals the effectiveness of this approach.

References

Chia, B.H.K., S. Morris and P.K. Dash, 2004. “A Fuzzy-Feedback Linearizing Nonlinear Control of CSI Based STATCOM for Synchronous Generator Stabilization”, Proceedings of the IEEE International Conference on Control Applications, vol. 2, September, pp 1473-1478.
Search in Google Scholar Back to article
External Neuro-control for a Series Capacitive Reactance Compensator Based on a Voltage Source PWM Converter in Damping Power Oscillations”, IEEE Transactions on Industrial Electronics, vol. 54, no. 1, February 2007, pp. 77-85.
Search in Google Scholar Back to article
J. R. Jang, “ANFIS Adaptive-netwok-Based Fuzzy Inference System”, IEEE Transactions on Systems, Man and Cybernetics, vol. 23, no. 3, 1993, pp. 665-685.
Search in Google Scholar Back to article
S. P. Ghoshal, “Multi-Area Frequency and Tie-Line Power Flow Control with Fuzzy Logic Based Integral Gain Scheduling”, IE (I) Journal-EI, vol. 84, December 2003, pp. 135-141.
Search in Google Scholar Back to article
Fuzzy Logic Toolbox—for Use with Matlab, The Mathworks Inc, 1999.
Search in Google Scholar Back to article
T. R. Sumithira and A. Nirmal Kumar, “Elimination of Harmonics in Multilevel Inverters Connected to Solar Photovoltaic Systems Using ANFIS: An Experimental Case Study”, Journal of Applied Research and Technology, vol. 11, no. 1, February 2013, pp. 124-132.
Search in Google Scholar Back to article
Jyh-Shing Roger Jang.: ‘ANFIS: Adaptive-Network-Based Fuzzy Inference System’, IEEE Trans. Syst. Man and Cyber., 23, (3), 1993, pp. 665-685
Search in Google Scholar Back to article
E.V. Larsen, Juan.J, Sanchez-Gasca and Chow.J.H.‘Concept for design of FACTS controllers to damp power swings’, IEEE Transactions 1995,PWRS-2 (10), pp.948-956.
Search in Google Scholar Back to article
C R Houck, J Joines and M Kay “Genetic Algorithm Optimization Toolbox, User’s Manual” Version 5.0, 1996
Search in Google Scholar Back to article
Jang J.-S. R. and N. Gulley, "Gain scheduling based fuzzy controller design," Proc. of the International Joint Conference of the North American Fuzzy Information Processing Society Biannual Conference, the Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Network and Fuzzy Logic, San Antonio, Texas, Dec. 1994.
Search in Google Scholar Back to article
Jang J.-S. R. and C.-T. Sun, "Neuro-fuzzy modeling and control, Proceedings of the IEEE, March 1995.
Search in Google Scholar Back to article
Jang J.-S. R. and C.-T. Sun, Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Prentice Hall, 1997.
Search in Google Scholar Back to article
Kaufmann A. and M.M. Gupta, Introduction to Fuzzy Arithmetic, V. N. Reinhold, 1985.
Search in Google Scholar Back to article

Articles in this issue

DOI: https://doi.org/10.21307/ijanmc-2019-016 | Journal eISSN: 2470-8038

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Language: English

Page range: 17 - 24

Published on: Oct 14, 2019

Published by: Xi’an Technological University

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Neuro-Fuzzy Controller,

Mathematic Model,

Oscillation Damper,

Interconnected Network

Related subjects:

Computer sciences,

Computer sciences, other

© 2019 Dr I. I. Alabi, Dr A. I. Araga, Mr Sabo Aliyu, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 3 (2018): Issue 4 (January 2018)