TY - JOUR
T1 - Analysis of reflectivity & predictability of electricity network tariff structures for household consumers
AU - Nijhuis, M.
AU - Gibescu, M.
AU - Cobben, J. F.G.
PY - 2017/10/1
Y1 - 2017/10/1
N2 - 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.
AB - 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.
KW - Capacity tariffs
KW - Cost-reflectivity
KW - Distribution network economics
KW - Distribution network tariff
UR - http://www.scopus.com/inward/record.url?scp=85026394459&partnerID=8YFLogxK
U2 - 10.1016/j.enpol.2017.07.049
DO - 10.1016/j.enpol.2017.07.049
M3 - Article
AN - SCOPUS:85026394459
SN - 0301-4215
VL - 109
SP - 631
EP - 641
JO - Energy Policy
JF - Energy Policy
IS - October 2017
ER -