Day-ahead Reserve Capacity Procurement based on Mixed-Integer Bilevel Linear Programming
Paper i proceeding, 2016

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.

stochastic programming

Reserve capacity

bilevel

mixed-integer

Författare

Peiyuan Chen

Chalmers, Energi och miljö, Elkraftteknik

IEEE PES General Meeting 2016

1944-9933 (eISSN)

Vol. 2016-November 5-

Styrkeområden

Energi

Ämneskategorier

Annan elektroteknik och elektronik

DOI

10.1109/PESGM.2016.7741629

ISBN

978-1-5090-4167-1

Mer information

Skapat

2017-10-08