DOE OSTI · 2583944
Sensitivity-based voltage constraints for optimal power flow in low-voltage distribution feeders
Abstract
The optimal power flow (OPF) problem for distribution systems can include network details down to the low-voltage (LV) points of interconnection of individual customers. This paper addresses the implementation of voltage magnitude constraints, and sets forth a practicable approach for capturing the effects on voltage from the switching behavior of loads (e.g., heat pumps, air conditioners, water heaters, or pool pumps) and from the variability of renewable generation (e.g., rooftop solar). The proposed method adjusts the OPF voltage constraints based on forecasts of load and generation upper and lower bounds, in conjunction with sensitivity factors derived from the power flow equations. An illustrative OPF formulation is also provided, which incorporates transformer models that include core loss. We demonstrate that accurate modeling of these LV network components is critical to avoid voltage violations at customer points of interconnection. Furthermore, the ideas are validated through numerical case studies on a realistic distribution feeder.
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Hamilton, Dakota [University of Vermont, Burlington, VT (United States)] (ORCID:0000000319859387), Navarro, Loraine [Purdue University, West Lafayette, IN (United States)], Aliprantis, Dionysios [Purdue University, West Lafayette, IN (United States)] (ORCID:0000000342554944). 2025-07-25. Sensitivity-based voltage constraints for optimal power flow in low-voltage distribution feeders. https://doi.org/10.1016/j.segan.2025.101855
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