DocumentCode
1480279
Title
Cautious Operation Planning Under Uncertainties
Author
Capitanescu, Florin ; Fliscounakis, Stéphane ; Panciatici, Patrick ; Wehenkel, Louis
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Univ. of Liege, Liege, Belgium
Volume
27
Issue
4
fYear
2012
Firstpage
1859
Lastpage
1869
Abstract
This paper deals with day-ahead power systems security planning under uncertainties by posing an optimization problem over a set of power injection scenarios that could show up the next day and modeling the next day´s real-time control strategies aiming at ensuring security with respect to contingencies by a combination of preventive and corrective controls. We seek to determine whether and which day-ahead decisions must be taken so that, for scenarios over the next day, there still exists an acceptable combination of preventive and corrective controls ensuring system security for any postulated contingency. We formulate this task as a three-stage feasibility checking problem, where the first stage corresponds to day-ahead decisions, the second stage to preventive control actions, and the third stage to corrective post-contingency controls. We propose a solution approach based on the problem decomposition into successive optimal power flow (OPF) and security-constrained optimal power flow (SCOPF) problems of a special type. Our approach is illustrated on the Nordic32 system and on a 1203-bus model of a real-life system.
Keywords
load flow; optimisation; power system planning; power system security; 1203-bus model; Nordic32 system; SCOPF; cautious operation planning; corrective controls; day-ahead power systems security planning; optimization problem; preventive controls; real-life system; real-time control strategies; security-constrained optimal power flow; three-stage feasibility checking problem; uncertainties; Optimization; Power system control; Power system planning; Power system security; Uncertainty; Nonlinear programming; operation planning under uncertainty; power systems security; security-constrained optimal power flow; worst case analysis;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2012.2188309
Filename
6175976
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