2020/02/17 by Malhar Padhee, Anamitra Pal, Padhee, Malhar +5 · 1 citation
Engineering · Mathematics · #Advanced Battery Technologies Research #Electric Vehicles and Infrastructure #FOS: Mathematics #Microgrid Control and Optimization #Optimization and Control (math.OC) #math.OC
paper · pdf · doi:10.48550/arxiv.2002.06793
Major flaw found in the result section of the paper which needs to be rectified
openalex publication_date 2020/02/17 · openalex created_date 2020/02/24 · arxiv created 2021/05/26 · arxiv updated 2021/05/27 · openalex updated_date 2026/07/28
The most commonly used model for battery energy storage systems (BESSs) in optimal BESS allocation problems is a constant-efficiency model. However, the charging and discharging efficiencies of BESSs vary non-linearly as functions of their state-of-charge, temperature, charging/discharging powers, as well as the BESS technology being considered. Therefore, constant-efficiency models may inaccurately represent the non-linear operating characteristics of the BESS. In this paper, we first create technology-specific linearized BESS models derived from the actual non-linear BESS models. We then incorporate the linearized BESS models into a mixed-integer linear programming framework for optimal multi-technology BESS allocation. Studies carried out on a 2,604-bus U.S. transmission network demonstrate the benefits of utilizing the linearized BESS models from the model accuracy, convexity, and computational performance viewpoints.