Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_ENWL_031 | |
| Title | Automated Transformer Monitoring System | |
| Status | Completed | |
| Energy Categories | Other Power and Storage Technologies(Electricity transmission and distribution) 100%; | |
| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact Electricity North West Limited |
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| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 March 2022 | |
| End Date | 31 August 2023 | |
| Duration | ENA months | |
| Total Grant Value | £1,100,000 | |
| Industrial Sectors | Power | |
| Region | North West | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , Electricity North West Limited |
| Web Site | https://smarter.energynetworks.org/projects/NIA_ENWL_031 |
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| Objectives | This project will explore enhancement of existing transformer monitoring equipment to enable to provide better targeted data collection. It will also establish the integration of the existing monitored transformer fleet into data solutions, create a data model for the new transformer risk assessment, and look to apply advanced analytics capabilities in different ways. The final capability delivered will be a number of holistic predictive models that effectively digitally twin the monitored transformer fleet. These will deliver various capabilities around anomaly detection in transformers affected by local network configurations, connection of DG and LCT and other load-based effects, if relevant. This project will run for sixteen months and comprise upgrading existing units to include the enhanced functionality, creation of a secure web portal to provide visibility of asset condition, and analysis of the additional data to refine the models. The project will look to enhance and automate transformer condition monitoring and use this to drive the asset management strategy. It will also revise and update the models used to determine the impact of various factors on transformer condition to account for changes in load types. | |
| Abstract | Across the UK, DNOs are faced with an aging population of network transformers. Impact of renewable generation and LCT technologies on the electrical network on transformers requires a more detail level of detail to assess these impacts on transformers. In addition, this project will create a real-time asset health monitoring system that will provide instantaneous reports of the asset health of each transformer being monitored and also feed directly into the ENWL asset management database to providing more accurate risk models of asset on the ENWL investment replacement scheme. | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 14/10/22 | |
