Identifying problems in renewable energy networks

The Power Quality (PQ) of the electricity supply is becoming increasingly important owing to the large scale use of power electronic devices, coupled with the increasing number of loads which are sensitive to voltage disturbances, such as control systems and computers. As a result of the problems caused by the confluence of these two trends, there is an increasing need for PQ to be monitored in order to diagnose its nature and locate the source of the disturbance, allowing remedial measures to be taken. Whilst automated systems for diagnosis of PQ events have been developed, identifying the location of the source of a disturbance is a problem which has not been fully addressed to date; in this talk, a novel approach to identify the location of the source of a PQ disturbance is described, using a form of Artificial Neural Network known as a Self Organising Map. This approach provides a means of locating the source of power quality events, including transient disturbances.

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RAF 2118: Engineering the next 100 years

Lecture - Mon 11 June 2018 at 18:00

London

2018 is all about commemoration, celebration and inspiration for the RAF – three words that are also synonymous with IET EngTalks. Air Marshal Julian Young will provide you with insight as to why the Royal Air Force is often cited as being one of the most technologically advanced military forces globally.

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