Goulart, Paul J.
This paper presents a new approach to accommodating large, fluctuating renewable infeeds in power systems, based on the concept of reserve policies. The approach can be viewed as a generalization of existing reserve modes, and uses robust optimization with recourse to determine operating rules for power system entities such as generators and storage units. These rules, or policies, set in advance how these entities are to respond to errors in the prediction of loads and renewable infeeds once their values are discovered. We show how affine policies can be chosen 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 errors. The errors may arise from any number of spatially- and/or temporally-correlated sources. Affine policies are compared with existing reserve operation modes under standard modelling assumptions, and operating cost reductions are reported for a multi-day benchmark study featuring a poorly-predicted wind infeed. Efficient prices for such "policy-based reserves" are derived, and we propose new reserve products that could be traded on electricity markets Show more
Journal / seriesTechnical Report
Pages / Article No.
PublisherETH Zürich, Institut für Automatik
Organisational unit03416 - Morari, Manfred (emeritus)
NotesSubmitted on 10 Decmeber 2012.
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