Demonstration of Market-Based Real-Time Electricity Pricing on a Congested Feeder

Emil Mahler Larsen, Pierre Pinson, Guillaume le Ray, Georgios Giannopoulos

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

1 Downloads (Pure)

Abstract

Congestion management can delay grid reinforcements needed due to the growth of distributed technologies like photovoltaics and electric vehicles. This paper presents a method of congestion management for low voltage feeders using indirect control from the smart grid demonstration EcoGrid EU, where five minute electricity pricing is sent to demand. A method for forecasting demand and generating prices in a market framework is presented, and a novel mechanism to ensure prices are fair to customers who can and cannot participate is developed. The proposed market is currently being used to send prices to 1900 houses, with a virtual feeder of 28 houses receiving congestion pricing. Simulations are used to calculate the cost from using this congestion management method, while demonstration results indicate that congestion can be managed successfully.
Original languageEnglish
Title of host publicationProceedings of European Electricity Market Conference
PublisherIEEE
Publication date2015
Pages886-890
ISBN (Print)978-1-4673-6693-9
DOIs
Publication statusPublished - 2015
Event12th International Conference on the European Energy Market - Instituto Superior de Engenharia de Lisboa, Lisbon, Portugal
Duration: 20 May 201522 May 2015

Conference

Conference12th International Conference on the European Energy Market
LocationInstituto Superior de Engenharia de Lisboa
CountryPortugal
CityLisbon
Period20/05/201522/05/2015

Keywords

  • Demand response
  • Real-time pricing
  • Congestion Management
  • Demand forecasting
  • Smart grid.

Cite this

Larsen, E. M., Pinson, P., le Ray, G., & Giannopoulos, G. (2015). Demonstration of Market-Based Real-Time Electricity Pricing on a Congested Feeder. In Proceedings of European Electricity Market Conference (pp. 886-890). IEEE. https://doi.org/10.1109/EEM.2015.7216777