Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGTO046 | |
| Title | Advanced Weather Forecasts for Dynamic Line Rating | |
| Status | Completed | |
| Energy Categories | Other Cross-Cutting Technologies or Research(Energy system analysis) 70%; Other Power and Storage Technologies(Electricity transmission and distribution) 30%; |
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| Research Types | Applied Research and Development 100% | |
| Science and Technology Fields | PHYSICAL SCIENCES AND MATHEMATICS (Computer Science and Informatics) 20%; ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 30%; ENVIRONMENTAL SCIENCES (Earth Systems and Environmental Sciences) 50%; |
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| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Project Contact No email address given National Grid Electricity Transmission |
|
| Award Type | Network Innovation Allowance | |
| Funding Source | Ofgem | |
| Start Date | 01 January 2020 | |
| End Date | 01 April 2021 | |
| Duration | ENA months | |
| Total Grant Value | £545,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (100.000%) |
| Industrial Collaborator | Project Contact , National Grid Electricity Transmission (0.000%) |
|
| Web Site | https://smarter.energynetworks.org/projects/NIA_NGTO046 |
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| Objectives | This project will systematically review the use of high specification forecast for each of our asset types; with the focus being on Overhead lines (OHL). This will involve running various scenarios using a software based tool which will be developed as part of this project. This will allow the potential increase in asset ratings that can be obtained by using a higher specification forecast to be quantified, and a value based specification for a weather forecast system to be developed. This project will cover the following scope items:1. Integration of OHL rating model with high specification weather forecasta. A high specification weather forecast will be integrated with National Grids OHL rating models. This will allow different scenarios to be run over an extended period time. This will also allow key metrics to be validated. This tool will be used to identify the optimal requirements for a weather forecast for OHL ratings. 2. Demonstration of Integration with NGET systema. A key operational requirement for a Dynamic Line Rating system is being able to send and receive the data at regular intervals in a controlled and secure manner. Part of this project will review these requirements by performing a demonstration integration and using this experience to inform how the Information Technology systems may influence the weather forecast specification. Two examples being, the number of times per day that data is transmitted and the size of each data transfer. 3. Advance Weather Analyticsa. Advanced data analytic techniques will be used to perform a review of the current conservatism in our ratings models. New equations to predict future ratings will developed using machine learning and artificial intelligence techniques to see if any significant improvement can be made reliably. b. Further investigations will be made into the feasibility of incorporating OHL conductor sag data into the calculations. This will only be performed as a desktop exercise. 4. Feasibility into advanced weather analytics for other assetsa. A desktop investigation will be performed into whether the advanced weather forecasts could be used to benefit other asset types. This will involve reviewing the weather assumptions in our current ratings models and developing estimations of the potential benefit. 5. Workshops – Risks and Opportunities a. Several workshops will be held to review the outcomes of the research and identify any further opportunities or risks that may come from adopting the projects recommendations. 6. Development of Specificationsa. The outcomes of the project will be put into a weather forecast and dynamic rating specification, to facilitate any adoption of the outputs a into a licensees existing systems. The objectives of this project are to:1. Integrate NGETs OHL rating model with a high specification weather forecast2. Evaluate the improved performance offered by a high specification forecastDevelop a value driven specification for a dynamic line rating system which uses a high specification forecast | |
| Abstract | This project will systematically review the use of high specification weather forecast for the rating each of our asset types; with the focus being on Overhead lines (OHL). This will involve running various scenarios using a software based tool which will be developed as part of this project. This will allow the potential increase in asset ratings that can be obtained by using a higher specification forecast to be quantified, and a value based specification for a weather forecast system to be developed. | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 02/11/22 | |
