Multi-level Day-ahead Energy Dispatching Method Based on Improving New Energy Consumption Capacity

Abstract

Aiming at the energy management problem of high permeability uncertain energy and load connected to distribution network, this paper proposes a multi-level grid dispatching method. Firstly, considering the time and space difference of different distributed generation, the owner of the same distributed generation is divided into one area. On this basis, a distributed energy scheduling mechanism based on local renewable energy consumption and global coordination and optimization of regional distribution network and active distribution network is proposed. Then, the uncertain output models of wind power and photovoltaic are established. Then, the day-ahead optimization models of regional distribution network and active distribution network are established respectively. In the day-ahead optimization model of regional distribution network, considering the uncertainty of renewable energy and electric vehicle load, as well as the effective utilization rate of renewable energy, a multi-objective optimization model aiming at minimizing the operating cost of regional distribution network and maximizing the consumption of renewable energy is established. In the day-ahead optimization model of active distribution network, the minimum voltage deviation and network loss are respectively taken as the objectives, a multi-objective optimization model of active distribution network is established. Finally, an improved 33-bus system is taken as an example to verify the effectiveness of the proposed method.