Browse by author
Lookup NU author(s): Dr Anurag Sharma
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
© 2021 The Authors. IET Smart Grid published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology.Photovoltaic (PV) generation systems, unlike conventional generators, do not possess any inherent inertia. The problem is further amplified by the fact that they are non-dispatchable and highly intermittent by nature. Furthermore, the rate at which PV power output changes is of a much shorter timescale than that of conventional generators. Thus, integrating them in large quantities to the power grid without appropriate measures will compromise the power grid stability. One of the feasible solutions is to implement the concept of virtual inertia to PV systems, by adding energy storage systems (ESS) such as batteries in parallel with PV systems. In this paper, the ESS will be controlled to regulate the ramp rate (RR) of the PV power output to the grid, which smoothens the overall generation power profile. By modelling the grid, PV, ESS and load individually in the s-domain and using an equivalent overall two-machine, two-area model, the impact of implementing virtual inertia is demonstrated. The results highlight the effectiveness in using ESS to control the RR and improving the transient responses of the overall grid system. Moreover, the economic impact and feasibility of ESS are also analysed using a residential PV and load profile from Singapore.
Author(s): Kumar DS, Lau P, Sharma A, Khambadkone A, Srinivasan D
Publication type: Article
Publication status: Published
Journal: IET Smart Grid
Year: 2021
Volume: 4
Issue: 1
Pages: 1-14
Print publication date: 03/02/2021
Online publication date: 10/12/2020
Acceptance date: 14/09/2020
Date deposited: 09/04/2021
ISSN (electronic): 2515-2947
Publisher: John Wiley and Sons Inc
URL: https://doi.org/10.1049/stg2.12001
DOI: 10.1049/stg2.12001
Altmetrics provided by Altmetric