Statistical approach to deadband estimation to inform TESS energy specification

Hu, Yiheng and Schofield, Nigel and Zhao, Nan (2025) Statistical approach to deadband estimation to inform TESS energy specification. IET Renewable Power Generation, 19 (1): e13183. ISSN 1752-1416

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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.

Item Type:
Journal Article
Journal or Publication Title:
IET Renewable Power Generation
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2100/2105
Subjects:
?? battery management systemsenergy management systemsenergy storage technologyrenewable energy, sustainability and the environment ??
ID Code:
227177
Deposited By:
Deposited On:
27 Jan 2025 14:55
Refereed?:
Yes
Published?:
Published
Last Modified:
31 Jan 2025 04:01