
Results in Engineering, Год журнала: 2025, Номер unknown, С. 104728 - 104728
Опубликована: Март 1, 2025
Язык: Английский
Results in Engineering, Год журнала: 2025, Номер unknown, С. 104728 - 104728
Опубликована: Март 1, 2025
Язык: Английский
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0Electricity, Год журнала: 2025, Номер 6(1), С. 9 - 9
Опубликована: Март 2, 2025
This article presents two novel mixed-integer nonlinear programming (MINLP) formulations in the complex variable domain to address optimal phase-balancing problem asymmetric three-phase distribution networks. The first employs a matrix-based load connection model (M-MINLP), while second uses compact vector-based representation (V-MINLP). Both integrate power flow equations through current injection method, capturing nonlinearities of Delta and Wye loads. These formulations, solved via an interior-point optimizer branch-and-cut method Julia software, ensure global optima computational efficiency. Numerical validations on 8-, 25-, 37-node feeders showed loss reductions 24.34%, 4.16%, 19.26%, outperforming metaheuristic techniques convex approximations. M-MINLP was 15.6 times faster 25-node grid 2.5 system when compared V-MINLP approach. results demonstrate robustness scalability proposed methods, particularly medium large systems, where often fail converge. advance state art by combining exact mathematical modeling with efficient computation, offering precise, scalable, practical tools for optimizing corresponding were performed using (v1.10.2), JuMP (v1.21.1), AmplNLWriter (v1.2.1).
Язык: Английский
Процитировано
0Results in Engineering, Год журнала: 2025, Номер unknown, С. 104721 - 104721
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0Results in Engineering, Год журнала: 2025, Номер unknown, С. 104728 - 104728
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0