A trust-region based sequential linear programming approach for AC optimal power flow problems
This study proposes a new trust-region based sequential linear programming algorithm to solve the AC optimal power flow (OPF) problem. The OPF problem is solved by linearizing the cost function, power balance and engineering constraints of the system, followed by a trust-region to control the validi...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/137067 |
| _version_ | 1826126977901264896 |
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| author | Sampath, Lahanda Purage Mohasha Isuru Patil, Bhagyesh V. Gooi, Hoay Beng Maciejowski, Jan Marian Ling, Keck Voon |
| author2 | School of Electrical and Electronic Engineering |
| author_facet | School of Electrical and Electronic Engineering Sampath, Lahanda Purage Mohasha Isuru Patil, Bhagyesh V. Gooi, Hoay Beng Maciejowski, Jan Marian Ling, Keck Voon |
| author_sort | Sampath, Lahanda Purage Mohasha Isuru |
| collection | NTU |
| description | This study proposes a new trust-region based sequential linear programming algorithm to solve the AC optimal power flow (OPF) problem. The OPF problem is solved by linearizing the cost function, power balance and engineering constraints of the system, followed by a trust-region to control the validity of the linear model. To alleviate the problems associated with the infeasibilities of a linear approximation, a feasibility restoration phase is introduced. This phase uses the original nonlinear constraints to quickly locate a feasible point when the linear approximation is infeasible. The algorithm follows convergence criteria to satisfy the first order optimality conditions for the original OPF problem. Studies on standard IEEE systems and large-scale Polish systems show an acceptable quality of convergence to a set of best-known solutions and a substantial improvement in computational time, with linear scaling proportional to the network size. |
| first_indexed | 2024-10-01T07:01:34Z |
| format | Journal Article |
| id | ntu-10356/137067 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:01:34Z |
| publishDate | 2020 |
| record_format | dspace |
| spelling | ntu-10356/1370672020-11-01T04:45:30Z A trust-region based sequential linear programming approach for AC optimal power flow problems Sampath, Lahanda Purage Mohasha Isuru Patil, Bhagyesh V. Gooi, Hoay Beng Maciejowski, Jan Marian Ling, Keck Voon School of Electrical and Electronic Engineering Interdisciplinary Graduate School (IGS) Cambridge Centre for Advanced Research and Education in Singapore Campus for Research Excellence and Technological Enterprise International Center of Energy Research Engineering::Electrical and electronic engineering Nonlinear Programming Optimal Power Flow This study proposes a new trust-region based sequential linear programming algorithm to solve the AC optimal power flow (OPF) problem. The OPF problem is solved by linearizing the cost function, power balance and engineering constraints of the system, followed by a trust-region to control the validity of the linear model. To alleviate the problems associated with the infeasibilities of a linear approximation, a feasibility restoration phase is introduced. This phase uses the original nonlinear constraints to quickly locate a feasible point when the linear approximation is infeasible. The algorithm follows convergence criteria to satisfy the first order optimality conditions for the original OPF problem. Studies on standard IEEE systems and large-scale Polish systems show an acceptable quality of convergence to a set of best-known solutions and a substantial improvement in computational time, with linear scaling proportional to the network size. NRF (Natl Research Foundation, S’pore) Accepted version 2020-02-18T08:26:34Z 2020-02-18T08:26:34Z 2018 Journal Article Sampath, L. P. M. I., Patil, B. V., Gooi, H. B., Maciejowski, J. M., & Ling, K. V. (2018). A trust-region based sequential linear programming approach for AC optimal power flow problems. Electric Power Systems Research, 165, 134-143. doi:10.1016/j.epsr.2018.09.002 0378-7796 https://hdl.handle.net/10356/137067 10.1016/j.epsr.2018.09.002 2-s2.0-85053527434 165 134 143 en Electric Power Systems Research © 2018 Elsevier B.V. All rights reserved. This paper was published in Electric Power Systems Research and is made available with permission of Elsevier B.V. application/pdf |
| spellingShingle | Engineering::Electrical and electronic engineering Nonlinear Programming Optimal Power Flow Sampath, Lahanda Purage Mohasha Isuru Patil, Bhagyesh V. Gooi, Hoay Beng Maciejowski, Jan Marian Ling, Keck Voon A trust-region based sequential linear programming approach for AC optimal power flow problems |
| title | A trust-region based sequential linear programming approach for AC optimal power flow problems |
| title_full | A trust-region based sequential linear programming approach for AC optimal power flow problems |
| title_fullStr | A trust-region based sequential linear programming approach for AC optimal power flow problems |
| title_full_unstemmed | A trust-region based sequential linear programming approach for AC optimal power flow problems |
| title_short | A trust-region based sequential linear programming approach for AC optimal power flow problems |
| title_sort | trust region based sequential linear programming approach for ac optimal power flow problems |
| topic | Engineering::Electrical and electronic engineering Nonlinear Programming Optimal Power Flow |
| url | https://hdl.handle.net/10356/137067 |
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