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

Hattam, L. and Vukadinovic Greetham, D. (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. ISSN 2196-5420 doi: 10.1007/s40565-016-0253-0

Abstract/Summary

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 a 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	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/68357
Identification Number/DOI	10.1007/s40565-016-0253-0
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics Science > School of Mathematical, Physical and Computational Sciences > Department of Mathematics and Statistics > Centre for the Mathematics of Human Behaviour (CMOHB) Interdisciplinary centres and themes > Energy Research
Publisher	Springer
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