Analysis of reflectivity & predictability of electricity network tariff structures for household consumers

Distribution network operators charge household consumers with a network tariff, so they can recover their network investment and operational costs. With the transition; towards a sustainable energy system, the household load is changing, through the introduction of photovoltaics and electric vehicl...

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Veröffentlicht in:Energy policy 2017-10, Vol.109, p.631-641
Hauptverfasser: Nijhuis, M., Gibescu, M., Cobben, J.F.G.
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container_title Energy policy
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creator Nijhuis, M.
Gibescu, M.
Cobben, J.F.G.
description Distribution network operators charge household consumers with a network tariff, so they can recover their network investment and operational costs. With the transition; towards a sustainable energy system, the household load is changing, through the introduction of photovoltaics and electric vehicles. The tariff structures which are currently employed in the EU are either capacity and/or energy consumption based. In light of the changes in the household load the question whether these tariff structures are the most suitable merits renewed attention. In this work, the cost-reflectivity of various tariff structures has been computed based on a distribution network planning approach. Next to this, the predictability of a network tariff, i.e. how much change would a household experience in network charges in two consecutive years has also been computed to gain insight into how well users will be able to react to the tariff. The results show that a peak load based network tariffs score best on the reflectivity while having an acceptable level of predictability. The switch from an energy consumption based network tariff, which is now most often applied, towards a peak load based network tariff should therefore, be considered. •Network utilisation assessment based characterisation of household load.•Analysis of the reflectivity and predictability of 5 network tariff structures.•Energy usage based network tariffs can be predicted most accurately.•Peak load charges remain most reflective in light of the energy transition.
doi_str_mv 10.1016/j.enpol.2017.07.049
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source PAIS Index; ScienceDirect Journals (5 years ago - present)
subjects Alternative fuel vehicles
Capacity tariffs
Charge distribution
Computation
Consumers
Cost-reflectivity
Distribution management
Distribution network economics
Distribution network tariff
Electric vehicles
Electricity
Electricity consumption
Energy consumption
Energy policy
Households
Investments
Network analysis
Networks
Operating costs
Operators
Peak load
Photovoltaic cells
Photovoltaics
Planning
Reflectance
Solar cells
Sustainable energy
Tariffs
title Analysis of reflectivity & predictability of electricity network tariff structures for household consumers
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