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Smart Transformer for the Provision of Coordinated Voltage and Frequency Support in the Grid
Date Issued
2018-10-23
Date Available
2019-05-22T08:45:28Z
Abstract
Considering the increase in renewable generation and the consequent reduction in power system inertia, the Virtual Synchronous Machine (VSM) control method has been proposed to control power converters to emulate the inertia and other the characteristics of the synchronous machine. However, to achieve the function of VSM control, an extra energy base, typically storage, is required to connect to the controlled converter. In this work we investigate the application of the VSM control to the distribution system demand through the use of a VSM controlled smart transformer. Through control of the demand in this way, the demand itself can be used to emulate inertia and provide frequency support. This paper presents the details of the flexible demand control applied to a smart transformer supplying a low voltage distribution grid. The operation of the control is validated on scaled hardware using real time simulation with hardware in the loop. Simulations on a 400 kVA, 400 V distribution network are used to quantify the demand flexible. IEEE 39 bus is used to verify the benefit of the proposed control in terms of voltage and frequency in the power system.
Sponsorship
European Commission - Seventh Framework Programme (FP7)
European Research Council
Science Foundation Ireland
Other Sponsorship
Energy Systems Integration Partnership Programme ESIPP Project funded by the Science Foundation Ireland (SFI)
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 IEEE
Language
English
Status of Item
Peer reviewed
Journal
Proceedings: IECON 2018- 44th Annual Conference of the IEEE Industrial Electronics Society
Conference Details
IECON 2018: 44th Annual Conference of the IEEE Industrial Electronics Society, Washington, United States of America, 20-23 October 2018
ISBN
978-1-5090-6684-1
ISSN
2577-1647
This item is made available under a Creative Commons License
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Name
Junru Chen_IECON 2018-ST-for-V-and-f-support.pdf
Size
1.19 MB
Format
Adobe PDF
Checksum (MD5)
f63ae738224b06f38236b270044c552a
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