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Day-ahead Reserve Capacity Procurement based on Mixed-Integer Bilevel Linear Programming

Peiyuan Chen (Institutionen för energi och miljö, Elteknik)
IEEE PES General Meeting 2016 p. 5. (2016)
[Konferensbidrag, refereegranskat]

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.

Nyckelord: Reserve capacity, stochastic programming, bilevel, mixed-integer

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Denna post skapades 2016-08-05.
CPL Pubid: 239837


Institutioner (Chalmers)

Institutionen för energi och miljö, Elteknik



Chalmers infrastruktur