Texas Tech University

Robust System Reconfiguration in the Presence of Uncertain Loads and Renewable Generation


Although distributed generation (DG) operation in modern distribution systems reduces energy losses, DG penetration in such networks is restricted by technical and investment limitations. In order to reduce these losses more efficiently, active distribution systems should be reconfigured based on their time-varying and uncertain load and renewable generation levels. However, considering demand variability in distribution systems' reconfiguration increases the mathematical efforts, computational burden, and processing time. Besides, the reconfiguration model must be robust enough to avoid consecutive reconfigurations under small load and generation variations. Accordingly, reconfiguration strategies should be chosen so that they have enough robustness and good convergence speed regarding load and generation uncertainty and variability. Therefore, the present paper develops an effective and robust strategy for active distribution systems' reconfiguration with load and renewable generation variability and uncertainty. The model is submitted to two standard distribution systems where the results are compared with other models presented by the literature. The comparison highlights the robustness and computational time efficiency of the presented model.


Meisam Mahdavi; Konrad Schmitt; Stephen Bayne; Manohar Chamana


Renewable energy sources , Energy loss , Uncertainty , Computational modeling , Distribution networks , Robustness , Topology

Publication Type


Digital Object Identifier


Full Citation

Mahdavi, M., Schmitt, K., Bayne, S., & Chamana, M. (2023, February). Robust System Reconfiguration in the Presence of Uncertain Loads and Renewable Generation. In 2023 IEEE Texas Power and Energy Conference (TPEC) (pp. 1-6). IEEE.

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Renewable Energy