Decentralized nonlinear model predictive control of a multimachine power system

This paper proposes a novel decentralized nonlinear model predictive control approach for excitation control in multimachine power systems. A key feature of the proposed approach is the reduction of the multimachine control problem to multiple single-machine control problems. These reduced size cont...

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Main Authors: Patil, Bhagyesh V., Sampath, Lahanda Purage Mohasha Isuru, Krishnan, Ashok, Foo, Eddy Yi Shyh
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/143556
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1435562020-09-09T03:27:35Z Decentralized nonlinear model predictive control of a multimachine power system Patil, Bhagyesh V. Sampath, Lahanda Purage Mohasha Isuru Krishnan, Ashok Foo, Eddy Yi Shyh School of Electrical and Electronic Engineering Interdisciplinary Graduate School (IGS) Cambridge Centre for Advanced Research and Education in Singapore (CARES) Engineering::Electrical and electronic engineering Bernstein Polynomials Global Optimization This paper proposes a novel decentralized nonlinear model predictive control approach for excitation control in multimachine power systems. A key feature of the proposed approach is the reduction of the multimachine control problem to multiple single-machine control problems. These reduced size control problems only require direct measurements from individual generators, thereby making implementation simple in practice. The effectiveness of the proposed approach is demonstrated through computer simulations on a one small-size Western System Coordinating Council (WSCC) and one large-size New England power system under a wide range of operating conditions. The performance of the proposed approach is evaluated in terms of damping power system oscillations, critical time enhancement, and control signal energy consumption. The results are compared with those obtained using power system stabilizer and feedback linearization based control schemes and found to be impressive. Nanyang Technological University National Research Foundation (NRF) Accepted version The first author acknowledge the support from National Research Foundation, Prime Ministers Office, Singapore under its CREATE programme. The third and fourth authors would also like to acknowledge funding support from the NTU Start-Up Grant. 2020-09-09T03:27:34Z 2020-09-09T03:27:34Z 2018 Journal Article Patil, B. V., Sampath, L. P. M. I., Krishnan, A., & Foo, E. Y. S. (2019). Decentralized nonlinear model predictive control of a multimachine power system. International Journal of Electrical Power & Energy Systems, 106, 358-372. doi:10.1016/j.ijepes.2018.10.018 0142-0615 https://hdl.handle.net/10356/143556 10.1016/j.ijepes.2018.10.018 106 358 372 en International Journal of Electrical Power & Energy Systems © 2018 Elsevier Ltd. All rights reserved. This paper was published in International Journal of Electrical Power & Energy Systems and is made available with permission of Elsevier Ltd. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Bernstein Polynomials
Global Optimization
spellingShingle Engineering::Electrical and electronic engineering
Bernstein Polynomials
Global Optimization
Patil, Bhagyesh V.
Sampath, Lahanda Purage Mohasha Isuru
Krishnan, Ashok
Foo, Eddy Yi Shyh
Decentralized nonlinear model predictive control of a multimachine power system
description This paper proposes a novel decentralized nonlinear model predictive control approach for excitation control in multimachine power systems. A key feature of the proposed approach is the reduction of the multimachine control problem to multiple single-machine control problems. These reduced size control problems only require direct measurements from individual generators, thereby making implementation simple in practice. The effectiveness of the proposed approach is demonstrated through computer simulations on a one small-size Western System Coordinating Council (WSCC) and one large-size New England power system under a wide range of operating conditions. The performance of the proposed approach is evaluated in terms of damping power system oscillations, critical time enhancement, and control signal energy consumption. The results are compared with those obtained using power system stabilizer and feedback linearization based control schemes and found to be impressive.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Patil, Bhagyesh V.
Sampath, Lahanda Purage Mohasha Isuru
Krishnan, Ashok
Foo, Eddy Yi Shyh
format Article
author Patil, Bhagyesh V.
Sampath, Lahanda Purage Mohasha Isuru
Krishnan, Ashok
Foo, Eddy Yi Shyh
author_sort Patil, Bhagyesh V.
title Decentralized nonlinear model predictive control of a multimachine power system
title_short Decentralized nonlinear model predictive control of a multimachine power system
title_full Decentralized nonlinear model predictive control of a multimachine power system
title_fullStr Decentralized nonlinear model predictive control of a multimachine power system
title_full_unstemmed Decentralized nonlinear model predictive control of a multimachine power system
title_sort decentralized nonlinear model predictive control of a multimachine power system
publishDate 2020
url https://hdl.handle.net/10356/143556
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