Multi-time scale optimal dispatch in ADN based on MILP

With the development of active distribution network (ADN) and the increase of penetration rate of new energy such as wind power and photovoltaic, the optimal operation problem of ADN is facing challenges. So, this paper proposes a multi-time scale optimal dispatch method based on mixed-integer linear programming to improve the calculation speed of the traditional dispatching model. First, the linear branch power flow of distribution network is introduced, and the main elements in ADN are modeled, meanwhile, the linearization method is used to simplify the non-linear components. Then, the day-ahead dispatch model is established by considering the active and reactive power coordination. In addition, in order to reduce the influence of the stochastic power from DG and FL on dispatch results, taking the results of day-ahead dispatch as reference, an auxiliary short-term dispatch model is also constructed to maximize the consumption of wind and photovoltaic (PV) power. Finally, the validity and reliability of the proposed method are verified by a modified IEEE 33-node distribution system.