A New Distribution System Reconfiguration Approach Using Optimum Power Flow and Sensitivity Analysis for Loss Reduction
This paper presents a new approach for distribution system reconfiguration (DSR) based on optimum power flow (OPF) in which the branch statuses (open/close) are represented by continuous functions. In the proposed approach, all branches are initially considered closed, and from the OPF results, a he...
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| Veröffentlicht in: | IEEE transactions on power systems 2006-11, Vol.21 (4), p.1616-1623 |
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| container_title | IEEE transactions on power systems |
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| creator | Gomes, F.V. Carneiro, S. Pereira, J.L.R. Vinagre, M.P. Garcia, P.A.N. Leandro Ramos de Araujo |
| description | This paper presents a new approach for distribution system reconfiguration (DSR) based on optimum power flow (OPF) in which the branch statuses (open/close) are represented by continuous functions. In the proposed approach, all branches are initially considered closed, and from the OPF results, a heuristic technique is used to determine the next loop to be broken by opening one switch. Then the list of switches that are candidates to be opened is updated, and the above process is repeated until all loops are broken, making the distribution system radial. This paper includes results and comparisons on test systems utilized in three classical papers published in the technical literature, as well as in a previous paper by the authors. Results obtained on a real large-scale distribution system are also presented |
| doi_str_mv | 10.1109/TPWRS.2006.879290 |
| format | Article |
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| language | eng |
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| subjects | Brazil Council Explosions Heuristic Heuristic algorithms Heuristic optimization technique Large-scale systems Lists Load flow losses Optimization optimum power flow (OPF) Performance evaluation Power flow Power system modeling radial distribution networks Reconfiguration Sensitivity analysis Switches System testing Technical literature |
| title | A New Distribution System Reconfiguration Approach Using Optimum Power Flow and Sensitivity Analysis for Loss Reduction |
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