Impacts of new technologies on load profiles

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dc.contributor.authorCampbell M
dc.contributor.authorMiller AJV
dc.contributor.authorWatson NR
dc.date.accessioned2018-06-07T02:39:38Z
dc.date.available2018-06-07T02:39:38Z
dc.date.issued2016
dc.date.updated2018-06-06T04:11:04Z
dc.description.abstractDesires to reduce reliance on fossil fuels and reduce greenhouse gas emissions, as well a period of technological development and falling technology prices, has led to increased interest in the use of new technologies in the energy sector. This paper, resulting from the GREEN Grid research program, presents initial analysis on the effects of three emerging technologies on the load profiles experienced by electricity distribution businesses. These three technologies are distributed photovoltaic generation, electric vehicles, and home energy storage systems. Widespread adoption of these technologies has the potential to cause a number of effects in the power system due to changing load profiles and the subsequently changing power flows. This paper presents modelling work firstly of the impacts of photovoltaic generation on load profiles. Regional variations in solar insolation and population density are taken into account. Secondly, the load of electric vehicle charging is modelled under different electric vehicle uptake and charging methodology scenarios. Thirdly the ability of EDB controlled energy storage systems to reduce peak load both with, and without, PV generation is modelled. The conventional notion that PV generation has no ability to reduce peak loads is tested, with results showing that while largely true there are some scenarios which challenge that notion. In the case of high rates of electric vehicle uptake and uncontrolled charging it is shown that a significant increase in the evening peak is to be expected. With more considered rates of electric vehicle uptake and charging delayed until late evening, either controlled or incentivized with night rate tariffs, it is shown that load impacts are minimal. Initial modelling of home battery energy storage systems show great promise in ability to reduce daily peaks given deployment in substantial numbers.en
dc.identifier.citationm Campbell, A Miller, N Watson. Impacts of new technologies on load profiles. EEA Conference and Exhibition 2016, 22-24 June, Wellington.en
dc.identifier.urihttp://hdl.handle.net/10092/15519
dc.subject.anzsrcField of Research::09 - Engineering::0906 - Electrical and Electronic Engineering::090605 - Photodetectors, Optical Sensors and Solar Cellsen
dc.subject.anzsrcField of Research::09 - Engineering::0906 - Electrical and Electronic Engineering::090608 - Renewable Power and Energy Systems Engineering (excl. Solar Cells)en
dc.subject.anzsrcField of Research::09 - Engineering::0906 - Electrical and Electronic Engineering::090607 - Power and Energy Systems Engineering (excl. Renewable Power)en
dc.subject.anzsrcFields of Research::40 - Engineering::4017 - Mechanical engineering::401703 - Energy generation, conversion and storage (excl. chemical and electrical)en
dc.titleImpacts of new technologies on load profiles
dc.typeConference Contributions - Otheren
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