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Probabilistic assessment of enhanced frequency response services using real frequency time series

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conference contribution
posted on 2018-06-20, 14:25 authored by Francisco Sanchez, Francisco Gonzalez-LongattFrancisco Gonzalez-Longatt, Dimitar Bogdanov
This paper presents a probabilistic assessment of the novel enhanced frequency response (EFR) service in the Great Britain (GB) transmission system. Real frequency measurements with one-second resolution, released by National Grid (NG) corresponding to the years 2014 and 2015, are used for the performance assessment. Initially, the frequency quality is evaluated against Security and Quality of Supply Standards (SQSS) of NG. Afterwards, battery energy storage systems (BESSs) with different power to energy ratios have been modelled and fed with the GB frequency time-series while providing two variants of EFR service. Then, a state of charge (SOC) management algorithm is implemented for comparison purposes. Finally, cumulative probability distribution functions (CDF) are created to analyse the performance of the BESS. The high utilization rates obtained for one the EFR services suggests that for the provision of EFR to be profitable for the providers, the service should refocus towards the post-fault or frequency containment region.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

2018 XXth International Symposium on Electrical Apparatus and Technologies

Citation

SANCHEZ, F., GONZALEZ-LONGATT, F.M. and BOGDANOV, D., 2018. Probabilistic assessment of enhanced frequency response services using real frequency time series. Presented at the 2018 XXth International Symposium on Electrical Apparatus and Technologies (SIELA 2018), Bourgas, Bulgaria, 3-6 June 2018.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Acceptance date

2018-05-01

Publication date

2018

Notes

Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

9781538634196

Language

  • en

Location

Bourgas, Bulgaria