Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Robust reserve operation in power systems using affine policies

Author(s):

J. Warrington, P.J. Goulart, S. Mariéthoz, M. Morari
Conference/Journal:

Conference on Decision and Control (CDC), Maui, HI, USA, pp. 1111-1117
Abstract:

A new scheme is presented for operating electrical reserves in constrained power systems in the face of a large uncertain future wind infeed. The approach uses robust optimization with linear decision rules to determine, via a constrained convex optimization, how power system entities such as generators and storage units should act on prediction errors once they become known. These rules are specified such that the power network constraints, namely matching supply and demand, respecting transmission line ratings, and the operating limits of power system entities, are satisfied for all possible realizations of the prediction error, which is assumed to be bounded and may be correlated spatially and/or temporally. The decision rules are demonstrated and compared with simpler modes of reserve operation, and efficiency gains are reported. Efficient prices for such 'policy-based reserves' are derived, and it is concluded that they are of particular interest to grids where both a large wind infeed and a large storage capacity are present.

Year:

2012
Type of Publication:

(01)Article
Supervisor:

M. Morari

File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { WarEtal:2012:IFA_4034,
    author={J. Warrington and P.J. Goulart and S. Mari{\'e}thoz and M. Morari},
    title={{Robust reserve operation in power systems using affine
	  policies}},
    booktitle={Conference on Decision and Control (CDC)},
    pages={1111--1117},
    year={2012},
    address={Maui, HI, USA},
    month=dec,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4034}
}
Permanent link