کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
703945 | 1460927 | 2012 | 11 صفحه PDF | دانلود رایگان |

The paper investigates how load alterations in distribution systems influence optimal configurations for loss minimization. In the proposed methodology network reconfigurations are implemented utilizing heuristics techniques while load variations are simulated by stochastic procedures. For the examined topologies initial available load data are considered as mean values and new altered load values are produced using uniform distribution. Various scenarios examined are assumed to simulate actual load conditions in order to examine how load variability may change the optimal configuration derived from the initial mean load values. The proposed algorithm was applied in three well known distribution networks from published literature and to a real urban distribution network. The results indicate that for altered load conditions, groups of adjacent sectionalizing switches participate in all the configurations procedures. The work concludes that real management of the distribution networks for loss reduction could rely on a realistic approach which considers limited reconfigurations of the network, derived for the mean load values of the assumed time period. Divergences from optimal solutions are shown to be insignificant compared to the reduction of switching operations.
► A novel heuristic algorithm is proposed aiming to simulate network reconfigurations in real time.
► Numerous scenarios have been examined in order to identify the sensitivity of the appropriate switching operations.
► The results confirm that load variations slightly affect the optimal solution even for extreme load variations.
► The algorithm results also provide the participating percentages in the reconfigurations of all sectionalizing switches.
► The results indicate that divergences from the actual optimal solution could be considered negligible.
Journal: Electric Power Systems Research - Volume 86, May 2012, Pages 17–27