### Abstract

In this paper, the blind topology identification problem for power systems only using power injection data at each bus is considered. As metering becomes widespread in the smart grid, a natural question arising is how much information about the underlying infrastructure can be inferred from such data. The identifiability of the grid topology is studied, and an efficient learning algorithm to estimate the grid Laplacian matrix (i.e., the graph equivalent of the grid admittance matrix) is proposed. Finally, the performance of our algorithm for the IEEE-14 bus system is demonstrated, and the consistency of the recovered graph with the true graph associated with the underlying power grid is shown in simulations.

Original language | English (US) |
---|---|

Title of host publication | 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 |

Pages | 91-96 |

Number of pages | 6 |

DOIs | |

State | Published - 2013 |

Externally published | Yes |

Event | 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 - Vancouver, BC, Canada Duration: Oct 21 2013 → Oct 24 2013 |

### Other

Other | 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013 |
---|---|

Country | Canada |

City | Vancouver, BC |

Period | 10/21/13 → 10/24/13 |

### Fingerprint

### ASJC Scopus subject areas

- Hardware and Architecture

### Cite this

*2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013*(pp. 91-96). [6687939] https://doi.org/10.1109/SmartGridComm.2013.6687939

**Blind topology identification for power systems.** / Li, Xiao; Poor, H. Vincent; Scaglione, Anna.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013.*, 6687939, pp. 91-96, 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013, Vancouver, BC, Canada, 10/21/13. https://doi.org/10.1109/SmartGridComm.2013.6687939

}

TY - GEN

T1 - Blind topology identification for power systems

AU - Li, Xiao

AU - Poor, H. Vincent

AU - Scaglione, Anna

PY - 2013

Y1 - 2013

N2 - In this paper, the blind topology identification problem for power systems only using power injection data at each bus is considered. As metering becomes widespread in the smart grid, a natural question arising is how much information about the underlying infrastructure can be inferred from such data. The identifiability of the grid topology is studied, and an efficient learning algorithm to estimate the grid Laplacian matrix (i.e., the graph equivalent of the grid admittance matrix) is proposed. Finally, the performance of our algorithm for the IEEE-14 bus system is demonstrated, and the consistency of the recovered graph with the true graph associated with the underlying power grid is shown in simulations.

AB - In this paper, the blind topology identification problem for power systems only using power injection data at each bus is considered. As metering becomes widespread in the smart grid, a natural question arising is how much information about the underlying infrastructure can be inferred from such data. The identifiability of the grid topology is studied, and an efficient learning algorithm to estimate the grid Laplacian matrix (i.e., the graph equivalent of the grid admittance matrix) is proposed. Finally, the performance of our algorithm for the IEEE-14 bus system is demonstrated, and the consistency of the recovered graph with the true graph associated with the underlying power grid is shown in simulations.

UR - http://www.scopus.com/inward/record.url?scp=84893603768&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893603768&partnerID=8YFLogxK

U2 - 10.1109/SmartGridComm.2013.6687939

DO - 10.1109/SmartGridComm.2013.6687939

M3 - Conference contribution

SN - 9781479915262

SP - 91

EP - 96

BT - 2013 IEEE International Conference on Smart Grid Communications, SmartGridComm 2013

ER -