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dc.contributor.authorSampath, Lahanda Purage Mohasha Isuruen_US
dc.contributor.authorPatil, Bhagyesh V.en_US
dc.contributor.authorGooi, Hoay Bengen_US
dc.contributor.authorMaciejowski, Jan Marianen_US
dc.contributor.authorLing, Keck Voonen_US
dc.identifier.citationSampath, 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.2018.09.002en_US
dc.description.abstractThis 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.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.relation.ispartofElectric Power Systems Researchen_US
dc.rights© 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.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleA trust-region based sequential linear programming approach for AC optimal power flow problemsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.schoolInterdisciplinary Graduate School (IGS)en_US
dc.contributor.organizationCambridge Centre for Advanced Research and Education in Singaporeen_US
dc.contributor.organizationCampus for Research Excellence and Technological Enterpriseen_US
dc.contributor.organizationInternational Center of Energy Researchen_US
dc.description.versionAccepted versionen_US
dc.subject.keywordsNonlinear Programmingen_US
dc.subject.keywordsOptimal Power Flowen_US
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