Picture of smart phone in human hand

World leading smartphone and mobile technology research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers from the Department of Computer & Information Sciences involved in researching exciting new applications for mobile and smartphone technology. But the transformative application of mobile technologies is also the focus of research within disciplines as diverse as Electronic & Electrical Engineering, Marketing, Human Resource Management and Biomedical Enginering, among others.

Explore Strathclyde's Open Access research on smartphone technology now...

A method for the evaluation and optimisation of power losses and reliability of supply in a distribution network

Ding, J. and Bell, K. R. W. and Elders, I. M. (2016) A method for the evaluation and optimisation of power losses and reliability of supply in a distribution network. In: 2016 Power Systems Computation Conference (PSCC). IEEE, Piscataway, N.J., pp. 1-8. ISBN 978-1-4673-8151-2

Text (Ding-etal-PSCC2016-method-evaluation-optimisation-power-losses-reliability-supply-distribution-network)
Ding_etal_PSCC2016_method_evaluation_optimisation_power_losses_reliability_supply_distribution_network.pdf - Accepted Author Manuscript

Download (849kB) | Preview


This paper presents two methods for evaluating and optimizing the configuration of a distribution network. A new loss-optimization method is described which partitions, optimizes and then recombines the network topology to identify the lowest loss configurations available. A reliability evaluation method is presented which evaluates, on a load-by-load basis, the most effective restoration path and the associated time. In contrast to previously-reported methods, the operation of different types of switch is integrated into this approach, reducing dependency on pre-determined restoration times for each load each fault location. This provides a more accurate estimate of the outage durations through identification of the specific restoration method for each load under each fault condition. The optimization method applied is shown to be effective in identifying optimally-reliable network topologies. Significant benefits are shown to be available.