2019/12/15 by Peng Hou, Guangya Yang, Hou, Peng +6
Computer Science · Engineering · #Advanced Battery Technologies Research #Electric Vehicles and Infrastructure #Electric and Hybrid Vehicle Technologies #FOS: Electrical engineering #Systems and Control (eess.SY) #cs.SY #eess.SY #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1912.06954
8 pages, submitted to TSTE
arxiv created 2019/12/15 · openalex publication_date 2019/12/15 · arxiv updated 2019/12/17 · openalex created_date 2019/12/26 · openalex updated_date 2026/07/28
The increasing adoption of renewable energy sources increases the need for balancing power. The security concerns of the distribution system operators are increasing due to fast adoption of distributed energy resources. So far, various operational models are proposed to manage the distributed energy resources for economic benefit. However, there is lack of an efficient operational model that balances the security, market, and uncertainty management. With the focus on the aggregators operation, this paper developed an operational model for continuous operation of aggregators interactively with the grid operators. A rolling optimization model is developed to manage the uncertainties from prediction errors. The network security is ensured continuously through an iterative price negotiation process between the distribution network operator and the aggregators. The optimality of the solution is guaranteed by convexification of the mixed integer formulation.