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Green neighbourhoods in low voltage networks: measuring impact of electric vehicles and photovoltaics on load profiles

Hattam, Laura and Vukadinovic Greetham, Danica (2017). Green neighbourhoods in low voltage networks: measuring impact of electric vehicles and photovoltaics on load profiles. Journal of Modern Power Systems and Clean Energy, 5(1) pp. 105–116.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1007/s40565-016-0253-0
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Abstract

In the near future, various types of low-carbon technologies (LCTs) are expected to be widely employed throughout the United Kingdom. However, the effect that these technologies will have at a household level on the existing low voltage (LV) network is still an area of extensive research. We propose an agent based model that estimates the growth of LCTs within local neighbourhoods, where social influence is imposed. Real-life data from an LV network is used that comprises of many socially diverse neighbourhoods. Both electric vehicle uptake and the combined scenario of electric vehicle and photovoltaic adoption are investigated with this data. A probabilistic approach is outlined, which determines lower and upper bounds for the model response at every neighbourhood. This technique is used to assess the implications of modifying model assumptions and introducing new model features. Moreover, we discuss how the calculation of these bounds can inform future network planning decisions.

Item Type: Journal Item
Copyright Holders: 2016 The Authors
ISSN: 2196-5420
Keywords: agent based modelling; low voltage networks; electric vehicles; photovoltaics
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 55696
Depositing User: Danica Vukadinovic Greetham
Date Deposited: 18 Feb 2019 09:59
Last Modified: 23 May 2019 01:56
URI: http://oro.open.ac.uk/id/eprint/55696
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