A contingency partitioning approach for preventive-corrective security-constrained optimal power flow computation

A contingency partitioning approach for preventive-corrective security-constrained optimal power... •A novel and improved approach is proposed for preventive-corrective security-constrained optimal power flow (PCSCOPF) problem.•The contingencies are optimally partitioned into two exclusive sets: one is secured in the preventive control (PC) stage and the other in the corrective control (CC) stage.•The PC corresponds to an ordinary SCOPF model and solved by the Benders decomposition method; the CC corresponds to an ordinary OPF model.•The optimal partitioning of the contingencies is determined using an evolutionary algorithm (EA).•The searching dimension only depends on the number of insecure contingencies, hence tends to lead to a much higher solution speed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electric Power Systems Research Elsevier

A contingency partitioning approach for preventive-corrective security-constrained optimal power flow computation

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Publisher
Elsevier
Copyright
Copyright © 2015 Elsevier B.V.
ISSN
0378-7796
eISSN
1873-2046
D.O.I.
10.1016/j.epsr.2015.11.012
Publisher site
See Article on Publisher Site

Abstract

•A novel and improved approach is proposed for preventive-corrective security-constrained optimal power flow (PCSCOPF) problem.•The contingencies are optimally partitioned into two exclusive sets: one is secured in the preventive control (PC) stage and the other in the corrective control (CC) stage.•The PC corresponds to an ordinary SCOPF model and solved by the Benders decomposition method; the CC corresponds to an ordinary OPF model.•The optimal partitioning of the contingencies is determined using an evolutionary algorithm (EA).•The searching dimension only depends on the number of insecure contingencies, hence tends to lead to a much higher solution speed.

Journal

Electric Power Systems ResearchElsevier

Published: Mar 1, 2016

References

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