ABSTRACT To facilitate the clean and economical operation of power systems, distributed energy resources (DERs) have received considerable attention. However, integrating numerous DERs into the transmission grid through local distribution networks imposes a substantial computational burden on scheduling optimization due to the need for detailed modeling of each resource and network component. To reduce this complexity and improve DER management, aggregation models for DERs are adopted. This paper presents a method for generating an aggregation power curve (APC) based on optimality condition analysis. In contrast to most existing studies that disregard distribution network and operational constraints when constructing aggregation models, this paper integrates DERs’ models, local loads, and network security constraints during the aggregation process, while also considering the optimal economic dispatch of the local network. This method can delineate the output status of each DER at every turning point of the APC, thereby improving the internal transparency of the aggregation model. Case studies conducted on IEEE 33‐bus and IEEE 141‐bus systems demonstrate the effectiveness of the proposed approach. APCs of certain scenarios are depicted clearly. It can be observed that the presence of network security constraints narrows the power output range of the local network and usually generates additional turning points in the APC.
Yu et al. (Thu,) studied this question.