Projects per year
Abstract
This paper analyses the real-time voltage data acquired at Low Voltage (LV) distribution network substations to understand their distributions. It is a part of a smart grid demonstration project 'Low Voltage Network Templates' conducted by the local distribution network operator (DNO) for South West and South Wales of UK. This work for the first time provides the visibility of voltage distributions at LV network which previously was impossible due to lack of metering equipment. The voltage distributions are divided into two scenarios: over and under statutory limits. The paper firstly identifies the voltage magnitude distributions, which are then linked with locations and load compositions. Both voltages at substations and at feeder ends are investigated to discuss voltage control strategy and understand the capability to accommodate low carbon technologies. The work complements the current practice of understanding the conditions of LV networks that are not properly monitor from voltage aspect.
Original language | English |
---|---|
Title of host publication | Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society |
Publisher | IEEE |
Pages | 1 - 5 |
ISBN (Print) | 9781479917853 |
DOIs | |
Publication status | Published - 23 Jun 2015 |
Event | 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015 - Washington, USA United States Duration: 18 Feb 2015 → 20 Feb 2015 |
Conference
Conference | 2015 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2015 |
---|---|
Country/Territory | USA United States |
City | Washington |
Period | 18/02/15 → 20/02/15 |
Keywords
- low carbon technologies
- low voltage network
- Smart grids
- smart metering
- voltage profiles
Fingerprint
Dive into the research topics of 'Understanding LV network voltage distribution-UK smart grid demonstration experience'. Together they form a unique fingerprint.Projects
- 2 Finished
-
Fellowship - Multi-Vector Energy Distribution System Modelling and Optimisation with Integrated Demand Side Response
Gu, C. (PI)
Engineering and Physical Sciences Research Council
1/09/14 → 31/08/17
Project: Research council
-
High Energy and Power Density (HEAPD) Solutions to Large Energy Deficits
Li, F. (PI), Redfern, M. (CoI) & Walker, I. (CoI)
Engineering and Physical Sciences Research Council
30/06/14 → 29/12/17
Project: Research council