Three-phase optimal power flow for networked microgrids based on semidefinite programming convex relaxation

Many autonomous microgrids have high penetration of distributed generation (DG) units. Optimal power flow (OPF) is necessary for the optimal dispatch such networked (NMGs). Existing convex relaxation methods three-phase OPF are only applicable to radial networks, not meshed networks. To overcome this limitation, we develop a semidefinite programming (SDP) model, which can be applied networks and also includes model DG units on-load voltage regulators with different connection types. The proposed has higher accuracy than other existing models SDP effectively solves problem satisfactory accuracy, as validated by real 6-bus, 9-bus, 30-bus NMGs IEEE 123-bus test cases. In symmetric-component shown more accurate that modelled three single-phase in unbalanced OPF. control variables obtained from optimization used both final strategy initial value non-convex obtain globally solution efficiently.