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...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Online Access: | https://hdl.handle.net/10356/143556 |
| _version_ | 1824453983297601536 |
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| author | Patil, Bhagyesh V. Sampath, Lahanda Purage Mohasha Isuru Krishnan, Ashok Foo, Eddy Yi Shyh |
| 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 |
| author_sort | Patil, Bhagyesh V. |
| collection | NTU |
| 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. |
| first_indexed | 2025-02-19T03:15:05Z |
| format | Journal Article |
| id | ntu-10356/143556 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:15:05Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-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 |
| 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 |
| title | 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_short | Decentralized nonlinear model predictive control of a multimachine power system |
| title_sort | decentralized nonlinear model predictive control of a multimachine power system |
| topic | Engineering::Electrical and electronic engineering Bernstein Polynomials Global Optimization |
| url | https://hdl.handle.net/10356/143556 |
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