Abstract
The equivalent circuit model for utility-scale battery energy storage systems (BESS) is beneficial for multiple applications including performance evaluation, safety assessments, and the development of accurate models for simulation studies. This paper evaluates and compares the performance of utility-scale equivalent circuit models developed at multiple sub-component levels, i.e. at the rack, module, and cell levels. This type of modeling is used to demonstrate that the equivalent circuit model for a reference cell, module, or rack of a BESS can be scaled to represent the entire battery system provided that the battery management system (BMS) is active and functional. Contrary to the rapid pulse discharge cycles employed in conventional cell parameter estimation approaches, the study proposes a new charge/discharge cycle for identifying the equivalent circuit parameters for utility-scale battery systems using equipment readily available at installation sites without the need for laboratory setups. Furthermore, a sensitivity analysis for classifying and quantifying the effect of each equivalent circuit parameter on the performance of the proposed battery system model was executed. The measurements and simulations are conducted for a 1MW/2MWh BESS testing facility located at the Louisville Gas and Electric and Kentucky Utilities (LG&E and KU) E.W. Brown generating plant. The results indicate that for the example utility-scale battery setup with an active BMS, the equivalent circuit model of either the cell, module, or rack can be scaled to represent the battery system with less than 1% average voltage error.
Highlights
A CCORDING to the EIA, utility-scale battery energy storage systems (BESS) in the U.S account for more than 75% of the total energy storage capacity installed in 2018 [1]
This study introduces a multi-hour operation cycle that ensures battery voltage equilibrium for each charge or discharge procedure as opposed to the conventional quick pulse discharge cycles used for battery equivalent circuit parameter estimation [18], [19]
Additional contributions include sensitivity analyses to establish the impact of each parameter on the system performance, and comparison of the voltage variation of the battery system to equivalent circuit models from the parameters identified from specified racks, modules, and cells
Summary
A CCORDING to the EIA, utility-scale BESS in the U.S account for more than 75% of the total energy storage capacity installed in 2018 [1]. Akeyo et al.: Parameter Identification for Cells, Modules, Racks, and Battery for Utility-Scale Energy Storage Systems. This work emphasizes how the difference in parameters of cells within a battery system can lead to significant variations in terminal voltages and defines a metric for comparing the voltage performance of utility-scale battery models developed using select cell, module, or rack parameters. Additional contributions include sensitivity analyses to establish the impact of each parameter on the system performance, and comparison of the voltage variation of the battery system to equivalent circuit models from the parameters identified from specified racks, modules, and cells.
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