Convex Approximation Algorithm for AC/DC Distribution Network With Energy Router

The optimal operation model of AC/DC distribution network with energy router (ER) is essentially a nonconvex nonlinear programming (NLP) problem. In order to improve the feasibility solving model, convex approximation algorithm proposed in this work. steady-state ER developed considering loss characteristics and multiport coordinated control strategy. It embedded optimization formulations as basic operating equations. Then, using second-order cone relaxation technology, power flow equations AC DC networks are convexly relaxed. On basis, highly linearized by introducing successive approach. Therefore, original NLP problem transformed into solution efficiency improved. Meanwhile, an iterative ensure accuracy Simulation results verify algorithm.