Projects
Projects: Projects for Investigator |
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| Reference Number | UKPNT1002 | |
| Title | Distribution Network Visibility | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 50%; Other Cross-Cutting Technologies or Research(Other Supporting Data) 50%; |
|
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 50%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 50%; |
|
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given UK Power Networks |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 March 2011 | |
| End Date | 01 March 2014 | |
| Duration | ENA months | |
| Total Grant Value | £2,890,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | ||
| Investigators | Principal Investigator | Project Contact , UK Power Networks (100.000%) |
| Web Site | https://smarter.energynetworks.org/projects/UKPNT1002 |
|
| Objectives | The main objective of the project will be to demonstrate the business benefits of the smart collection, utilisation and visualisation of existing data i.e. analogues available from Remote Terminal Units (RTUs). The project will establish optimum levels of distribution network monitoring and frequency of sampling for specific scenarios and applications. It will also trial various optical sensors that could potentially be used to provide detailed monitoring of sites with no RTUs. | |
| Abstract | It is widely acknowledged that greater visibility of power flows on the distribution network will be required in order to manage the more complex load profiles and greater levels of distributed generation expected in future. The Intelligent Distribution Network Monitoring IFI project has concluded that a novel utilisation of existing systems can facilitate the transition to a low carbon energy sector and lead to more effective planning, better investment decisions, asset management and operational decisions. Some examples of where the data is potentially of use to the DNO include: Identification of localised load growth and changes in load patterns, in order to determine a wide range of options early on Understanding where Distributed Generation (DG) is masking load, which can have an impact on planning, outage calculations and restoration actions after an outage Understanding whether traditional assumptions about the duty of assets are accurate. | |
| Publications | (none) |
|
| Final Report | (none) |
|
| Added to Database | 15/12/22 | |
