Effect of State of Charge Uncertainty on Battery Energy Storage Systems

TL;DR

This paper introduces a framework to quantify the uncertainty in battery state of charge estimates during rest periods, which is vital for optimizing energy storage system operations in power grids.

Contribution

It presents a novel method for assessing SOC estimation uncertainty based on rest periods, aiding better planning of BESS power injection trajectories.

Findings

Uncertainty analysis applied to a BESS in frequency regulation market.

Framework improves understanding of SOC estimation errors during rest periods.

Enhances BESS operation planning and grid stability.

Abstract

Battery energy storage systems (BESSs) provide many benefits to the electricity grid, including stability, backup power, and flexibility in introducing more clean energy sources. As BESS penetration grows, knowledge of the uncertainty in the battery's state of charge (SOC) estimate is crucial for planning optimal BESS power injection trajectories. This paper proposes a framework for quantifying SOC estimation uncertainty based on battery rest periods. An uncertainty analysis is presented for a BESS participating in the frequency regulation market.