Projects
Projects: Projects for Investigator |
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| Reference Number | NIA_NGET0105 | |
| Title | Enhanced Weather Modelling for Dynamic Line rating (DLR) | |
| 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) 50%; 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 August 2013 | |
| End Date | 01 August 2016 | |
| Duration | 36 months | |
| Total Grant Value | £233,000 | |
| Industrial Sectors | Power | |
| Region | London | |
| Programme | Network Innovation Allowance | |
| Investigators | Principal Investigator | Project Contact , National Grid Electricity Transmission (99.999%) |
| Other Investigator | Project Contact , SP Energy Networks (0.001%) |
|
| Web Site | http://www.smarternetworks.org/project/NIA_NGET0105 |
|
| Objectives | The objectives for the project include: establish the level of confidence that can be attributed to low cost overhead line rating forecasting techniques that predict overhead line ratings sufficiently far ahead of real time to be useful for operational planning decisions. The following success criteria have been established: Complete a comparison of the dynamic ratings methods that are described in published engineering literature and summarising the different features that are apparent from the literature. Develop a new statistical forecasting model that addresses wind speed, wind direction and temperature, quantifying the probabilities of particular forecast quantities being exceeded. Evaluate the use of enhanced dynamic ratings in particular GB power system contexts | |
| Abstract | The electricity market provides a power flow solution to meet forecast GB demand ahead of real time. The GBSO models the market solution taking account of the capacity limits of the transmission system, when the power flow pattern is such that the capacity limits will be exceeded, the GBSO is required to take action to constrain the market solution, at cost to BSU’S customers. With a change in generation patterns, with increased renewable energy being installed in different location to carbon plant, the system is changing and more GBSO interventions are required, becoming increasingly expensive and time consuming. The conventional means of reducing the volume of actions would be to reinforce the transmission system at high cost and long lead times. For some circuits an alternative could be to enhance the capacity of existing assets based on real ambient conditions rather than the seasonal, worst case values that are traditionally used to define the asset capacity. Overhead line capacity is very dependent on the ambient weather conditions, in particular wind speed and direction. Recent developments have enabled techniques and devices to be developed to establish the enhanced capacity available real-time, however, to be of real value and reduce the volume and cost of actions, it is important for the GBSO to know what enhancements are going to available ahead of real-time to feed into the GBSO models and decisions. Research and Development This research project will investigate existing dynamic overhead line rating methods and forecasting capabilities currently under development around the world and building on the SPEN SPT1001 LCNF project, "Implementation of real-time thermal ratings" to develop a forecast capability based on spatial interpolation of weather station measurements. The project involves research into the available techniques under development worldwide to calculate real-time and forecast overhead line ratings, improving weather related overhead line forecasts and the nature of the risk related to utilizing rating forecasts of different probabilities of being exceeded.Note : Project Documents may be available via the ENA Smarter Networks Portal using the Website link above | |
| Publications | (none) |
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| Final Report | (none) |
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| Added to Database | 14/08/18 | |
