TY  - JOUR
AU  - Basiri, Farnaz
AU  - Casadiego, Jose
AU  - Timme, Marc
AU  - Witthaut, Dirk
TI  - Inferring power-grid topology in the face of uncertainties
JO  - Physical review / E
VL  - 98
IS  - 1
SN  - 2470-0045
CY  - Woodbury, NY
PB  - Inst.
M1  - FZJ-2018-05778
SP  - 012305
PY  - 2018
AB  - We develop methods to efficiently reconstruct the topology and line parameters of a power grid from the measurement of nodal variables. We propose two compressed sensing algorithms that minimize the amount of necessary measurement resources by exploiting network sparsity, symmetry of connections, and potential prior knowledge about the connectivity. The algorithms are reciprocal to established state estimation methods, where nodal variables are estimated from few measurements given the network structure. Hence, they enable an advanced grid monitoring where both state and structure of a grid are subject to uncertainties or missing information.
LB  - PUB:(DE-HGF)16
C6  - pmid:30110818
UR  - <Go to ISI:>//WOS:000438350200006
DO  - DOI:10.1103/PhysRevE.98.012305
UR  - https://juser.fz-juelich.de/record/856136
ER  -