Case Studies
Monitoring the National Electricity Grid
Engineers at National Grid’s National Control Centre in Wokingham are responsible for balancing national supply with demand on a minute-by-minute basis.
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Predicting the thermal stress on high-voltage buried cables is crucial to the running of the national electricity network.
When thermal stress exceeds safe levels, damage to the cable insulation may occur, shortening the life of the cable.
OCC, with its experience and expertise in software development in the engineering sector, was the preferred choice when National Grid Asset Engineering wanted to redevelop its original software for calculating thermal stress on buried high-voltage cables.
The new system, known as GLOIN, is a complete redesign of the thermal modelling software. In addition to a new database of engineering data, GLOIN includes use scenarios, clear graphical displays of the thermal effects of heavy loads, and a user-friendly system for modelling cables and estimating margins of safety.
GLOIN enables National Grid to model a cable’s thermal stress and capacity based on the cable-soil conditions and the recent history of load. It can be used to predict when and where a limiting load will be reached under given sets of circumstances, and allows National Grid to manage the electricity network and plan maintenance work.
GLOIN forms part of the Circuit Thermal Monitor, a crucial component in the national control room that monitors buried cables nationwide. Learn more in our case study
National Grid is the largest privately owned, independent transmission company in the world and one of the top 100 companies in the UK. It owns and operates the high-voltage electricity transmission system that carries power from generators to suppliers across England and Wales. It also owns and operates transmission links to Scotland and France and plays a vital role in enabling the wholesale trade of electricity.
Case Studies
Engineers at National Grid’s National Control Centre in Wokingham are responsible for balancing national supply with demand on a minute-by-minute basis.
Case Studies
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