Cooperative Optimal Scheduling of Interconnected Transmission-distribution-micro Power System

Abstract

With the increasing penetration of renewable energy generation (REG) (i.e. wind power) and energy storage system (ESS) connected to the active distribution network (ADN), which breaks the traditional transmission-distribution-micro (TG -ADN-MG) grid hierarchical operation pattern. ADN is the intermediate link between transmission grid (TG) and microgrid (MG), based on the correlation and interaction between TG, ADN and MG, a unit commitment (UC) decision-making model of the synergestic TG-ADN-MG power system is proposed in this paper, based on the meticulous modeling of TG-ADN-MG scheduling, by introducing the analytical target cascading (ATC) algorithm, the power system at three layers are taken as different stakeholders, through the tie-line exchange power equivalent to the virtual generator and virtual load to achieve decoupled model, and synergetic source-network-load schedule of a complex system is realized. Concurrently, to enhance the capability of each layer of active momentum in the TG, ADN and MG to deal with wind power uncertainty, through the synergistic optimization of the decision-making variable of each layer, the economic goal optimization and the resource complementarity of the whole interconnected system are realized. Finally, case studies on the modified IEEE 6-bus system verify the effectiveness of the proposed model and method.