4.6 Article

Linear battery models for power systems analysis

Journal

ELECTRIC POWER SYSTEMS RESEARCH
Volume 212, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2022.108565

Keywords

Battery modeling; Energy storage systems; Battery energy storage systems; Complementarity; Transmission expansion planning; Set point tracking

Funding

  1. Skoltech, Russia
  2. Ministry of Education and Science of Russian Federation [075-10-2021-067, 000000S707521QJX0002]
  3. Skolkovo Institute of Science and Technology, Russia

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This paper discusses the description of linear BESS models and presents four commonly used linear BESS formulations as well as a new formulation. By testing and numerical analysis on random samples, it reveals the specific challenges of BESS models and provides practical recommendations.
Mathematical models are just models. The desire to describe battery energy storage system (BESS) operation using computationally tractable model formulations has motivated a long-standing discussion in both the scientific and industrial communities. Linear BESS models are the most widely used so far. However, finding suitable linear BESS models has been controversial. This paper focuses on the description of linear BESS models. Four linear BESS formulations are presented, among the most popularly used. A new formulation is also proposed. The 5 BESS models are tested in 100 random BESS and 1.450 random samples of daily profiles of renewable generation. Two classical problems of power systems, namely, the set-point tracking problem and the transmission expansion planning problem, are selected for numerical analysis. Five thousand simulations are used to draw a better interpretation of each linear formulation presented and showcase specific challenges of BESS models. Practical recommendations are provided based on the findings.

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