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Planning the location and rating of distributed energy storage in LV networks using a genetic algorithm with simulated annealing

Lookup NU author(s): Dr Neal Wade

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

AbstractIn light of the expansion of domestic photovoltaic (PV) systems in the UK, there are concerns of voltage rise within LV networks. Consequently, network operators are interested in the costs and benefits of different technologies to manage their assets. This paper examines the particular case for distributed energy storage. A heuristic planning tool is developed using a genetic algorithm with simulated annealing to investigate the problem of locating and sizing energy storage within LV networks. This is applied to investigate the configuration and topologies of storage to solve voltage rise problems as a result of increased penetration of PV. Under a threshold PV penetration, it is shown that distributed storage offers a financially viable alternative to reconductoring the LV network. Further, it is shown that a configuration of single phase storage located within the customer home can solve the voltage problem using less energy than a three phase system located on the street.


Publication metadata

Author(s): Crossland AF, Jones D, Wade NS

Publication type: Article

Publication status: Published

Journal: International Journal of Electrical Power & Energy Systems

Year: 2014

Volume: 59

Pages: 103-110

Print publication date: 01/07/2014

Online publication date: 06/03/2014

Acceptance date: 07/02/2014

Date deposited: 23/07/2014

ISSN (print): 0142-0615

ISSN (electronic): 1879-3517

Publisher: Elsevier

URL: http://dx.doi.org/10.1016/j.ijepes.2014.02.001

DOI: 10.1016/j.ijepes.2014.02.001


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