Computing critical k-tuples in power networks
2012 (English)In: IEEE Transactions on Power Systems, ISSN 0885-8950, Vol. 27, no 3, 1511-1520 p.Article in journal (Refereed) Published
In this paper the problem of finding the sparsest (i.e., minimum cardinality) critical k-tuple including one arbitrarily specified measurement is considered. The solution to this problem can be used to identify weak points in the measurement set, or aid the placement of new meters. The critical k-tuple problem is a combinatorial generalization of the critical measurement calculation problem. Using topological network observability results, this paper proposes an efficient and accurate approximate solution procedure for the considered problem based on solving a minimum-cut (Min-Cut) problem and enumerating all its optimal solutions. It is also shown that the sparsest critical k -tuple problem can be formulated as a mixed integer linear programming (MILP) problem. This MILP problem can be solved exactly using available solvers such as CPLEX and Gurobi. A detailed numerical study is presented to evaluate the efficiency and the accuracy of the proposed Min-Cut and MILP calculations.
Place, publisher, year, edition, pages
2012. Vol. 27, no 3, 1511-1520 p.
Combinatorial optimization, critical k -tuples, minimum cut, mixed integer linear programming, state estimation
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-77896DOI: 10.1109/TPWRS.2012.2187685ISI: 000309996500038ScopusID: 2-s2.0-84864284962OAI: oai:DiVA.org:kth-77896DiVA: diva2:492159
FunderEU, FP7, Seventh Framework ProgrammeKnut and Alice Wallenberg FoundationICT - The Next Generation
QC 201208272012-02-072012-02-072013-04-11Bibliographically approved