Capacity Subscription Tariffs for Electricity Distribution Networks: Design Choices and Congestion Management

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

12 Downloads (Pure)

Abstract

Residential distribution networks in Europe are undergoing rapid changes. As high-power flexible loads, such as electric vehicle (EV) chargers, become more prevalent, the risk of network congestion increases. This is exacerbated by tariff structures which do not give incentives to limit simultaneous power consumption. Network charges in this case may not reflect the true costs of usage, as network costs are driven mainly by simultaneous load peaks.We present a systematic assessment of a new class of tariffs that is currently gaining attention in the Netherlands: capacity subscription models. We argue that this tariff structure is more cost-reflective and fair than the current fixed network fee and show how it helps to prevent transformer overloading in a simple simulation model of a neighborhood of 100 households constrained by a LV transformer, where a varying number of EVs are added.
Original languageEnglish
Title of host publication2020 17th International Conference on the European Energy Market, EEM 2020
ISBN (Electronic)9781728169194
DOIs
Publication statusPublished - 2020
Event17th International Conference on the European Energy - Stockholm, Sweden
Duration: 16 Sep 202018 Sep 2020
Conference number: 17

Publication series

NameInternational Conference on the European Energy Market, EEM
Volume2020-September
ISSN (Print)2165-4077
ISSN (Electronic)2165-4093

Conference

Conference17th International Conference on the European Energy
Abbreviated titleEEM2020
CountrySweden
CityStockholm
Period16/09/2018/09/20

Keywords

  • Demand Side Management
  • Electric Vehicles
  • Electricity Distribution Tariffs
  • Power Distribution
  • Smart Grids

Fingerprint Dive into the research topics of 'Capacity Subscription Tariffs for Electricity Distribution Networks: Design Choices and Congestion Management'. Together they form a unique fingerprint.

Cite this