NDLI: Assessing the economic benefits of flexible residential load participation in the Dutch day-ahead auction and balancing market

Content Provider	IEEE Xplore Digital Library
Author	Abdisalaam, A. Lampropoulos, I. Frunt, J. Verbong, G.P.J. Kling, W.L.
Copyright Year	2012
Description	Author affiliation: KEMA N.V., The Netherlands (Frunt, J.) \|\| Industrial Engineering & Innovation Sciences Faculty, Eindhoven University of Technology, The Netherlands (Verbong, G.P.J.) \|\| Electrical Engineering Faculty, Eindhoven University of Technology, The Netherlands (Abdisalaam, A.; Lampropoulos, I.; Kling, W.L.)
Abstract	In this paper the authors present the potential cost-savings that may arise due to demand response from residential customers participating in the Amsterdam Power eXchange (APX) day-ahead auction and the Dutch balancing energy market which is organised by TenneT, the Dutch Transmission System Operator (TSO). For this purpose, a model for residential demand response is developed that utilises as input historical market data. Furthermore, the model synthesises a daily load profile based on load profiles of Dutch residential customers and simulated data to represent aggregate demands of domestic appliances and electric vehicles. The model is built around the concept of the aggregator, an envisioned legal entity, that contracts large amounts of residential customers and then coordinates them in real-time under different objectives (i.e. economic optimisation based on predicted day-ahead prices and the provision of balancing energy). Simulation results show that the potential economic benefits of residential demand response, on the Dutch electricity markets, is relatively low on a per household basis, but not negligible for the business case of the aggregator.
Starting Page	1
Ending Page	8
File Size	563823
Page Count	8
File Format	PDF
ISBN	9781467308342
e-ISBN	9781467308335
e-ISBN	9781467308328
DOI	10.1109/EEM.2012.6254645
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-10
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Real time systems optimal scheduling electric vehicles Power system economics aggregator residential demand response day-ahead auction Optimization domestic appliances Home appliances Electricity supply and demand Load management Electric vehicles secondary reserves Load modeling
Content Type	Text
Resource Type	Article

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