Day-ahead reserve capacity procurement based on mixed-integer bilevel linear programming

Name: Day-ahead reserve capacity procurement based on mixed-integer bilevel linear programming
Creator: null Peiyuan Chen
Keywords: 8. Economic growth, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2016Publisher:IEEEJournal:2016 IEEE Power and Energy Society General Meeting (PESGM)

Authors: null Peiyuan Chen;

doi: 10.1109/pesgm.2016.7741629

Day-ahead reserve capacity procurement based on mixed-integer bilevel linear programming

- Summary
- Metrics

Abstract

This paper models the the reserve capacity procurement problem in Denmark to account for the sequential clearing of the reserve availability market and the energy market, and the forecast error of system wind power and demand. The problem is modeled as a stochastic mixed-integer bilevel linearing programming problem. A real case of Western Denmark is studied. In the case analyzed, the EENS induced by the forecast error reduces from 312.4 MWh to 0 when 40 MW reserve capacity is procured. It is also shown that procuring more reserve capacity does not necessarily reduce the EENS.

Related Organizations

Chalmers University of Technology
Sweden

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average