Linearized Physics-Based Lithium-Ion Battery Model for Power System Economic Studies

TL;DR

This paper introduces a linearized physics-based lithium-ion battery model suitable for power system economic studies, offering a computationally efficient alternative to nonlinear models while accurately capturing internal dynamics.

Contribution

The paper presents a novel linear approximation of the physics-based battery model that improves economic analysis accuracy and computational efficiency in power system optimization.

Findings

Linearized model accurately captures battery dynamics.

Model reduces computational complexity compared to nonlinear models.

Application to energy arbitrage demonstrates practical benefits.

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.