2019/02/02 by Yizhi Cheng, Cheng, Yizhi, Peichao Zhang +1
Engineering · Mathematics · #FOS: Mathematics #Integrated Energy Systems Optimization #Microgrid Control and Optimization #Optimization and Control (math.OC) #Smart Grid Energy Management #math.OC
paper · pdf · doi:10.48550/arxiv.1902.00657
5 pages, 4 figures, conference
arxiv created 2019/02/02 · openalex publication_date 2019/02/02 · arxiv updated 2019/02/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Motivated by various benefits of multi-energy integration, this paper establishes a bi-level framework based on transactive control to realize energy optimization among multiple interconnected energy hubs (EHs). A storage-energy-equivalent method as well as its mathematical proof are provided in the lower level to realize nonlinear constraints relaxation of EH model, while the upper level solves the collaborative problem iteratively in both day-ahead and real-time stages. The proposed method can preserve information privacy and operation authority of each EH while satisfying real-time control requirement, and its effectiveness has also been verified by a simulation case.