Impact of the Generation System Parameters on the Frequency Response of the Power System: A UK Grid Case Study

Jovi Atkinson, I. M. Albayati

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

The operation and the development of power system networks introduce new types of stability problems. The effect of the power generation and consumption on the frequency of the power system can be described as a demand/generation imbalance resulting from a sudden increase/decrease in the demand and/or generation. This paper investigates the impact of a loss of generation on the transient behaviour of the power grid frequency. A simplified power system model is proposed to examine the impact of change of the main generation system parameters (system inertia, governor droop setting, load damping constant, and the high-pressure steam turbine power fraction), on the primary frequency response in responding to the disturbance of a 1.32 GW generation loss on the UK power grid. Various rates of primary frequency responses are simulated via adjusting system parameters of the synchronous generators to enable the controlled generators providing a fast-reliable primary frequency response within 10 s after a loss of generation. It is concluded that a generation system inertia and a governor droop setting are the most dominant parameters that effect the system frequency response after a loss of generation. Therefore, for different levels of generation loss, the recovery rate will be dependent on the changes of the governor droop setting values. The proposed model offers a fundamental basis for a further investigation to be carried on how a power system will react during a secondary frequency response.
Original languageEnglish
Pages (from-to)143-157
Number of pages15
JournalElectricity
Volume2
Issue number2
Early online date20 Apr 2021
DOIs
Publication statusPublished - Jun 2021

Fingerprint

Dive into the research topics of 'Impact of the Generation System Parameters on the Frequency Response of the Power System: A UK Grid Case Study'. Together they form a unique fingerprint.

Cite this