Distribution_network_reconfiguration_validation_with_uncertain_loads.pdf (650.66 kB)
Download fileDistribution network reconfiguration validation with uncertain loads: network configuration determination and application
journal contribution
posted on 2017-05-12, 14:57 authored by Xuefeng Bai, Yiango Mavrocostanti, Dani StricklandDani Strickland, Christopher HarrapAutomatic load transfer (ALT) on the 11 kV network is the process by which circuit breakers on the network are switched to form open points in order to feed load from different primary substations. Some of the potential benefits that may be gained from dynamically using ALT include maximising utilisation of existing assets, voltage regulation and reduced losses. One of the key issues, that has yet to be properly addressed in published research, is how to validate that the modelled benefits really exist. On an 11 kV distribution network where the load is continually changing and the load on each distribution substation is unlikely to be monitored - reduction in losses from moving the normally open point is particularly difficult to prove. This study proposes a method to overcome this problem and uses measured primary feeder data from two parts of the Western Power Distribution 11 kV Network under different configurations. The process of choosing the different configurations is based on a heuristic modelling method of locating minimum voltages to help reduce losses.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Published in
IET Generation, Transmission and DistributionVolume
10Issue
12Pages
2852 - 2860Citation
BAI, X. ... et al, 2016. Distribution network reconfiguration validation with uncertain loads: network configuration determination and application. IET Generation, Transmission and Distribution, 10 (12), pp. 2852-2860.Publisher
© The Institution of Engineering and TechnologyVersion
- AM (Accepted Manuscript)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Acceptance date
2016-05-05Publication date
2016-09-01Copyright date
2016Notes
This article was published in the journal IET Generation, Transmission and Distribution [© Institution of Engineering and Technology] and the definitive version is available at: http://dx.doi.org/10.1049/iet-gtd.2015.0734. The affiliation information provided in the published version of this paper is incorrect. The correct affiliation information is given below: Xuefeng Bai1, Yiango Mavrocostanti2, Dani Strickland1, Chris Harrap2 1 School of Engineering and Applied Science, Aston University, Birmingham Triangle, Birmingham, UK 2 Western Power Distribution, Pegasus Business Park, East Midlands, UK. The correct affiliation information can also be found at doi: 10.1049/iet-gtd.2016.1702ISSN
1751-8687eISSN
1751-8695Publisher version
Language
- en