A Two-stage Optimal Scheduling Approach for Networked Distributed Energy Resources in Power Distribution Systems

Inhalt:
With the increasing penetration of distributed energy resources (DERs) and new emerging market entities, e.g., DERs aggregators, the traditional scheduling strategy is no longer applicable, as it can neither deal with the “curse of dimensionality” problem nor consider the aggregators’ interests. To this end, this paper proposes a two-stage optimal approach for scheduling the massive networked DERs. In stage 1, the massive DERs are firstly aggregated by the aggregators and then the distribution system operator (DSO) further aggregates the aggregators’ power variation ranges connected at the same bus, from which the “curse of dimensionality” problem can be solved. In stage 2, based on the stage 1 DSO’s dispatch setpoints to the aggregated aggregators, a Nash bargaining-based P2P trading model is established for maximizing aggregators’ profits. To protect the privacy of aggregators, the alternating direction method of multipliers (ADMM)-based algorithm is proposed to facilitate the peer-to-peer (P2P) trading among aggregators and track the DSO’s dispatch. To verify the correctness and effectiveness, the proposed strategy is tested on modified IEEE-33 buses with massive DERs.