2017/11/21 by Zeyu Wang, Wang, Zeyu, Daniel S. Kirschen +3
Engineering · #FOS: Mathematics #Microgrid Control and Optimization #Optimal Power Flow Distribution #Optimization and Control (math.OC) #Power System Optimization and Stability
paper · pdf · doi:10.48550/arxiv.1711.07853
openalex publication_date 2017/11/21 · openalex created_date 2017/12/04 · openalex updated_date 2026/07/28
In this paper, we develop semidefinite programming (SDP) models aimed at solving optimal power flow (OPF) problems in distribution systems. We propose two models: the symmetrical SDP model which modifies the existing BFM-SDP model. Then based on the symmetrical SDP model, we develop a voltage regulation model that solves OPF problems with binding voltage constraints. To evaluate the accuracy of our proposed OPF models, we rely on OpenDSS, a power flow solver, to generate power flow solutions as the benchmarks. Comprehensive case studies are conducted showing our SDP models have better numerical stability and yield more accurate results than existing approaches