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Statistical approach to deadband estimation to inform TESS energy specification

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Statistical approach to deadband estimation to inform TESS energy specification. / Hu, Yiheng; Schofield, Nigel; Zhao, Nan.
In: IET Renewable Power Generation, Vol. 19, No. 1, e13183, 31.01.2025.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Hu, Y, Schofield, N & Zhao, N 2025, 'Statistical approach to deadband estimation to inform TESS energy specification', IET Renewable Power Generation, vol. 19, no. 1, e13183. https://doi.org/10.1049/rpg2.13183

APA

Hu, Y., Schofield, N., & Zhao, N. (2025). Statistical approach to deadband estimation to inform TESS energy specification. IET Renewable Power Generation, 19(1), Article e13183. https://doi.org/10.1049/rpg2.13183

Vancouver

Hu Y, Schofield N, Zhao N. Statistical approach to deadband estimation to inform TESS energy specification. IET Renewable Power Generation. 2025 Jan 31;19(1):e13183. Epub 2025 Jan 24. doi: 10.1049/rpg2.13183

Author

Hu, Yiheng ; Schofield, Nigel ; Zhao, Nan. / Statistical approach to deadband estimation to inform TESS energy specification. In: IET Renewable Power Generation. 2025 ; Vol. 19, No. 1.

Bibtex

@article{62f245f8924b4542874d4e5d80fc3b64,
title = "Statistical approach to deadband estimation to inform TESS energy specification",
abstract = "The increasing use of renewable energy and decreasing inertia from large generators necessitate studying transient energy storage systems (TESSs) for better frequency stability. This paper examines UK National Grid data from 2014 to 2022 to propose initial design requirements for a TESS power‐train. It assesses second‐by‐second historical frequency data across various time frames to explore the impact on TESS sizing and strategies using the enhanced frequency response service 1 approach. The results establish an approach for determining the suitable battery energy capacity of TESSs offering frequency control services, contributing to the reduction of power demand and energy losses in the distribution grid. Moreover, the study presents a suitable deadband strategy for the enhanced frequency response service. The findings provide insights into the design and operational needs of TESSs in supporting grid frequency response, utilizing a statistical methodology driven by frequency data from the UK transmission network managed by National Grid Electricity Transmission. The primary aims of the paper are (a) to develop a suitable power and energy management philosophy for TESSs and thus inform future control objectives, and (b) assess the system energy specification requirements.",
keywords = "battery management systems, energy management systems, energy storage technology",
author = "Yiheng Hu and Nigel Schofield and Nan Zhao",
year = "2025",
month = jan,
day = "31",
doi = "10.1049/rpg2.13183",
language = "English",
volume = "19",
journal = "IET Renewable Power Generation",
issn = "1752-1416",
publisher = "John Wiley & Sons Inc.",
number = "1",

}

RIS

TY - JOUR

T1 - Statistical approach to deadband estimation to inform TESS energy specification

AU - Hu, Yiheng

AU - Schofield, Nigel

AU - Zhao, Nan

PY - 2025/1/31

Y1 - 2025/1/31

N2 - The increasing use of renewable energy and decreasing inertia from large generators necessitate studying transient energy storage systems (TESSs) for better frequency stability. This paper examines UK National Grid data from 2014 to 2022 to propose initial design requirements for a TESS power‐train. It assesses second‐by‐second historical frequency data across various time frames to explore the impact on TESS sizing and strategies using the enhanced frequency response service 1 approach. The results establish an approach for determining the suitable battery energy capacity of TESSs offering frequency control services, contributing to the reduction of power demand and energy losses in the distribution grid. Moreover, the study presents a suitable deadband strategy for the enhanced frequency response service. The findings provide insights into the design and operational needs of TESSs in supporting grid frequency response, utilizing a statistical methodology driven by frequency data from the UK transmission network managed by National Grid Electricity Transmission. The primary aims of the paper are (a) to develop a suitable power and energy management philosophy for TESSs and thus inform future control objectives, and (b) assess the system energy specification requirements.

AB - The increasing use of renewable energy and decreasing inertia from large generators necessitate studying transient energy storage systems (TESSs) for better frequency stability. This paper examines UK National Grid data from 2014 to 2022 to propose initial design requirements for a TESS power‐train. It assesses second‐by‐second historical frequency data across various time frames to explore the impact on TESS sizing and strategies using the enhanced frequency response service 1 approach. The results establish an approach for determining the suitable battery energy capacity of TESSs offering frequency control services, contributing to the reduction of power demand and energy losses in the distribution grid. Moreover, the study presents a suitable deadband strategy for the enhanced frequency response service. The findings provide insights into the design and operational needs of TESSs in supporting grid frequency response, utilizing a statistical methodology driven by frequency data from the UK transmission network managed by National Grid Electricity Transmission. The primary aims of the paper are (a) to develop a suitable power and energy management philosophy for TESSs and thus inform future control objectives, and (b) assess the system energy specification requirements.

KW - battery management systems

KW - energy management systems

KW - energy storage technology

U2 - 10.1049/rpg2.13183

DO - 10.1049/rpg2.13183

M3 - Journal article

VL - 19

JO - IET Renewable Power Generation

JF - IET Renewable Power Generation

SN - 1752-1416

IS - 1

M1 - e13183

ER -