Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems

Jawad Arif; Nilanjan Ray Chaudhuri; Swakshar Ray; Balarko Chaudhuri

doi:10.1109/IJCNN.2009.5179071

Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems

Jawad Arif, Nilanjan Ray Chaudhuri, Swakshar Ray, Balarko Chaudhuri

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

24 Scopus citations

Abstract

Levenberg-Marquardt (LM) algorithm, a powerful off-line batch training method for neural networks, is adapted here for online estimation of power system dynamic behavior. A special form of neural network compatible with the feedback linearization framework is used to enable non-linear self-tuning control. Use of LM is shown to yield better closed-loop performance compared to conventional recursive least square (RLS) approach. For successive disturbance use of LM in conjunction with non-linear neural network structure yields faster convergence compared to RLS. A case study on a test system demonstrates the effectiveness of the online LM method for both linear and nonlinear estimation over RLS estimation (linear).

Original language	English (US)
Title of host publication	2009 International Joint Conference on Neural Networks, IJCNN 2009
Pages	199-206
Number of pages	8
DOIs	https://doi.org/10.1109/IJCNN.2009.5179071
State	Published - 2009
Event	2009 International Joint Conference on Neural Networks, IJCNN 2009 - Atlanta, GA, United States Duration: Jun 14 2009 → Jun 19 2009

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Other

Other	2009 International Joint Conference on Neural Networks, IJCNN 2009
Country/Territory	United States
City	Atlanta, GA
Period	6/14/09 → 6/19/09

All Science Journal Classification (ASJC) codes

Software
Artificial Intelligence

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10.1109/IJCNN.2009.5179071

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Arif, J., Chaudhuri, N. R., Ray, S., & Chaudhuri, B. (2009). Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems. In 2009 International Joint Conference on Neural Networks, IJCNN 2009 (pp. 199-206). Article 5179071 (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2009.5179071

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title = "Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems",

abstract = "Levenberg-Marquardt (LM) algorithm, a powerful off-line batch training method for neural networks, is adapted here for online estimation of power system dynamic behavior. A special form of neural network compatible with the feedback linearization framework is used to enable non-linear self-tuning control. Use of LM is shown to yield better closed-loop performance compared to conventional recursive least square (RLS) approach. For successive disturbance use of LM in conjunction with non-linear neural network structure yields faster convergence compared to RLS. A case study on a test system demonstrates the effectiveness of the online LM method for both linear and nonlinear estimation over RLS estimation (linear).",

author = "Jawad Arif and Chaudhuri, {Nilanjan Ray} and Swakshar Ray and Balarko Chaudhuri",

year = "2009",

doi = "10.1109/IJCNN.2009.5179071",

language = "English (US)",

isbn = "9781424435531",

series = "Proceedings of the International Joint Conference on Neural Networks",

pages = "199--206",

booktitle = "2009 International Joint Conference on Neural Networks, IJCNN 2009",

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Arif, J, Chaudhuri, NR, Ray, S & Chaudhuri, B 2009, Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems. in 2009 International Joint Conference on Neural Networks, IJCNN 2009., 5179071, Proceedings of the International Joint Conference on Neural Networks, pp. 199-206, 2009 International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, GA, United States, 6/14/09. https://doi.org/10.1109/IJCNN.2009.5179071

Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems. / Arif, Jawad; Chaudhuri, Nilanjan Ray; Ray, Swakshar et al.
2009 International Joint Conference on Neural Networks, IJCNN 2009. 2009. p. 199-206 5179071 (Proceedings of the International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems

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AU - Chaudhuri, Nilanjan Ray

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N2 - Levenberg-Marquardt (LM) algorithm, a powerful off-line batch training method for neural networks, is adapted here for online estimation of power system dynamic behavior. A special form of neural network compatible with the feedback linearization framework is used to enable non-linear self-tuning control. Use of LM is shown to yield better closed-loop performance compared to conventional recursive least square (RLS) approach. For successive disturbance use of LM in conjunction with non-linear neural network structure yields faster convergence compared to RLS. A case study on a test system demonstrates the effectiveness of the online LM method for both linear and nonlinear estimation over RLS estimation (linear).

AB - Levenberg-Marquardt (LM) algorithm, a powerful off-line batch training method for neural networks, is adapted here for online estimation of power system dynamic behavior. A special form of neural network compatible with the feedback linearization framework is used to enable non-linear self-tuning control. Use of LM is shown to yield better closed-loop performance compared to conventional recursive least square (RLS) approach. For successive disturbance use of LM in conjunction with non-linear neural network structure yields faster convergence compared to RLS. A case study on a test system demonstrates the effectiveness of the online LM method for both linear and nonlinear estimation over RLS estimation (linear).

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T3 - Proceedings of the International Joint Conference on Neural Networks

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BT - 2009 International Joint Conference on Neural Networks, IJCNN 2009

T2 - 2009 International Joint Conference on Neural Networks, IJCNN 2009

Y2 - 14 June 2009 through 19 June 2009

ER -

Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems

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