Linearized Physics-Based Lithium-Ion Battery Model for Power System Economic Studies
Abstract
This paper proposes the linearized physics-based model of a lithium-ion battery that can be incorporated into the optimization framework for power system economic studies. The proposed model is a linear approximation of the single particle model and it allows to characterize dynamics of the physical processes inside the battery that impact the battery operation. There is a need for such model as a simplistic power-energy model that is widely employed in operation and planning studies with the lithium-ion battery energy storage system (LIBESS) results in infeasible operation and misleading economic assessment. The proposed linearized model is computationally beneficial compared with a recently used nonlinear physics-based model. The energy arbitrage application is used to assess the advantages of the proposed model over a simple power-energy model.
Cite
@article{arxiv.2207.03469,
title = {Linearized Physics-Based Lithium-Ion Battery Model for Power System Economic Studies},
author = {Anton V. Vykhodtsev and Darren Jang and Qianpu Wang and William Rosehart and Hamidreza Zareipour},
journal= {arXiv preprint arXiv:2207.03469},
year = {2022}
}
Comments
In proceedings of the 11th Bulk Power Systems Dynamics and Control Symposium (IREP 2022), July 25-30, 2022, Banff, Canada