Nonlinear parameter neuro-estimation for optimal tuning of power system stabilizers

Seung Mook Baek, Jung Wook Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes nonlinear parameter estimation of non-smooth nonlinear device by using a feed-forward neural network (FFNN) embedded in a hybrid system modeling. The hybrid systems are modeled by the differential-algebraic- impulsive-switched (DAIS) structure. In a switched linear hybrid system, the FFNN is applied to identify full dynamics of an objective function J formed by the states. Moreover, the partial derivatives of function J with respect to the each state are approximated by the computation of the backpropagation through the FFNN. Then, this paper focuses on the FFNN based estimator for the non-smooth nonlinear dynamic behaviors due to saturation limiter of the power system stabilizer (PSS) in both a single machine infinite bus (SMIB) system and a multi-machine power system (MMPS).

Original languageEnglish
Title of host publicationProceedings - IEEE INDIN 2008
Subtitle of host publication6th IEEE International Conference on Industrial Informatics
Pages921-926
Number of pages6
DOIs
Publication statusPublished - 2008 Oct 31
EventIEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics - Daejeon, Korea, Republic of
Duration: 2008 Jul 132008 Jul 16

Other

OtherIEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics
CountryKorea, Republic of
CityDaejeon
Period08/7/1308/7/16

Fingerprint

Feedforward neural networks
Tuning
Hybrid systems
Limiters
Backpropagation
Parameter estimation
Derivatives

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

Cite this

Baek, S. M., & Park, J. W. (2008). Nonlinear parameter neuro-estimation for optimal tuning of power system stabilizers. In Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics (pp. 921-926). [4618233] https://doi.org/10.1109/INDIN.2008.4618233
Baek, Seung Mook ; Park, Jung Wook. / Nonlinear parameter neuro-estimation for optimal tuning of power system stabilizers. Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics. 2008. pp. 921-926
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Baek, SM & Park, JW 2008, Nonlinear parameter neuro-estimation for optimal tuning of power system stabilizers. in Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics., 4618233, pp. 921-926, IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics, Daejeon, Korea, Republic of, 08/7/13. https://doi.org/10.1109/INDIN.2008.4618233

Nonlinear parameter neuro-estimation for optimal tuning of power system stabilizers. / Baek, Seung Mook; Park, Jung Wook.

Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics. 2008. p. 921-926 4618233.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Baek SM, Park JW. Nonlinear parameter neuro-estimation for optimal tuning of power system stabilizers. In Proceedings - IEEE INDIN 2008: 6th IEEE International Conference on Industrial Informatics. 2008. p. 921-926. 4618233 https://doi.org/10.1109/INDIN.2008.4618233