An Online Feedback-Based Linearized Power Flow Model for Unbalanced Distribution Networks

The nonlinear and nonconvex nature of ac power flow challenges the analysis optimization unbalanced distribution networks. To tackle this issue, paper proposes an online feedback-based linearized model for networks with both wye-connected delta-connected loads. is grounded on first-order Taylor expansion branch (BFM), updates parameters via feedback by leveraging instantaneous measurements voltages load consumption. Exploiting connection structure radial networks, we also provide a unified matrix-vector compact form model. numerical tests IEEE 123-bus test system validate its accuracy superiority compared other offline BFM methods. Additionally, apply proposed to optimal voltage regulation, which further demonstrates effectiveness.