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Conference paper

Data-driven State of Health Modeling of Battery Energy Storage Systems Providing Grid Services

In Proceedings of 11<sup>th</sup> International Conference on Power, Energy and Electrical Engineering — 2021, pp. 43-49

By Zhao, Chunyang1,2,3; Hashemi, Seyedmostafa1,2,3; Andersen, Peter Bach1,2,3; Traholt, Chresten1,2,3

From

Department of Electrical Engineering, Technical University of Denmark1

Center for Electric Power and Energy, Centers, Technical University of Denmark2

Distributed Energy Resources, Center for Electric Power and Energy, Centers, Technical University of Denmark3

Battery energy storage system (BESS) is key for future renewable energy systems, as it can provide various grid support functionalities, facilitate the participation of renewable energy sources in electricity markets, and increase grid stability. However, battery degradation is a major factor hindering the BESS implementation for grid applications.

Battery state of health (SOH) is a key performance indicator of the BESS, and data-driven models powered by machine learning techniques are among the most promising solutions for the BESS degradation estimation. In this paper, a novel taxonomy of BESS services is proposed based on battery usage. Besides, the data-driven techniques for battery SOH modeling and data-driven SOH estimation applications for BESS providing grid services are reviewed and discussed.

Further, a comprehensive discussion is presented regarding the challenges in the area of data-driven SOH modeling methods for the BESS providing grid services in practical applications.

Language: English
Publisher: IEEE
Year: 2021
Pages: 43-49
Proceedings: 11<sup>th</sup> International Conference on Power, Energy and Electrical Engineering
ISBN: 1728177170 , 1728177189 , 9781728177175 , 9781728177182 , 1728177162 and 9781728177168
Types: Conference paper
DOI: 10.1109/CPEEE51686.2021.9383356
ORCIDs: Zhao, Chunyang , Hashemi, Seyedmostafa , Andersen, Peter Bach and Traholt, Chresten
Keywords

Battery energy storage system Battery service Data-driven model Grid-connected application SDG 7 - Affordable and Clean Energy State of Health

Other keywords

Analytical models Batteries Data models Degradation Estimation Taxonomy Testing battery energy storage system battery service data-driven model grid-connected application state of health

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