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, ITA, pp. 1-8. ISBN 978-1-4673-8151-2 (https://doi.org/10.1109/PSCC.2016.7541010)
Preview |
Text.
Filename: Ding_etal_PSCC2016_method_evaluation_optimisation_power_losses_reliability_supply_distribution_network.pdf
Accepted Author Manuscript Download (849kB)| Preview |
Abstract
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.
ORCID iDs
Ding, J., Bell, K. R. W. ORCID: https://orcid.org/0000-0001-9612-7345 and Elders, I. M. ORCID: https://orcid.org/0000-0002-6060-9235;-
-
Item type: Book Section ID code: 56373 Dates: DateEvent20 June 2016Published20 April 2016Accepted15 March 2016SubmittedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering Depositing user: Pure Administrator Date deposited: 13 May 2016 11:05 Last modified: 11 Nov 2024 15:09 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/56373