Abstract
This paper proposes a decentralized state estimation scheme via network gossiping with applications in smart grid wide-area monitoring. The proposed scheme allows distributed control areas to solve for an accurate global state estimate collaboratively using the proposed Gossip-based Gauss-Newton (GGN) algorithm. Furthermore, the proposed scheme mitigates the influence of bad data by adaptively updating the noise variances and re-weighting the contributions of the most recent measurements for state estimation. Compared with other distributed techniques, our scheme via gossiping is more flexible and resilient in case of network reconfigurations and failures. We further prove that the power flow equations satisfy the sufficient condition for the GGN algorithm to converge to the desired solution. Simulations of the IEEE-118 system show that the proposed scheme estimates and tracks the global state robustly, and degrades gracefully when there are random failures and bad data.
| Original language | English (US) |
|---|---|
| Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
| Pages | 5243-5247 |
| Number of pages | 5 |
| DOIs | |
| State | Published - Oct 18 2013 |
| Externally published | Yes |
| Event | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, Canada Duration: May 26 2013 → May 31 2013 |
Other
| Other | 2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 |
|---|---|
| Country | Canada |
| City | Vancouver, BC |
| Period | 5/26/13 → 5/31/13 |
Fingerprint
Keywords
- convergence
- gossiping
- hybrid state estimation
ASJC Scopus subject areas
- Signal Processing
- Software
- Electrical and Electronic Engineering
Cite this
Robust collaborative state estimation for smart grid monitoring. / Li, Xiao; Scaglione, Anna.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2013. p. 5243-5247 6638663.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Robust collaborative state estimation for smart grid monitoring
AU - Li, Xiao
AU - Scaglione, Anna
PY - 2013/10/18
Y1 - 2013/10/18
N2 - This paper proposes a decentralized state estimation scheme via network gossiping with applications in smart grid wide-area monitoring. The proposed scheme allows distributed control areas to solve for an accurate global state estimate collaboratively using the proposed Gossip-based Gauss-Newton (GGN) algorithm. Furthermore, the proposed scheme mitigates the influence of bad data by adaptively updating the noise variances and re-weighting the contributions of the most recent measurements for state estimation. Compared with other distributed techniques, our scheme via gossiping is more flexible and resilient in case of network reconfigurations and failures. We further prove that the power flow equations satisfy the sufficient condition for the GGN algorithm to converge to the desired solution. Simulations of the IEEE-118 system show that the proposed scheme estimates and tracks the global state robustly, and degrades gracefully when there are random failures and bad data.
AB - This paper proposes a decentralized state estimation scheme via network gossiping with applications in smart grid wide-area monitoring. The proposed scheme allows distributed control areas to solve for an accurate global state estimate collaboratively using the proposed Gossip-based Gauss-Newton (GGN) algorithm. Furthermore, the proposed scheme mitigates the influence of bad data by adaptively updating the noise variances and re-weighting the contributions of the most recent measurements for state estimation. Compared with other distributed techniques, our scheme via gossiping is more flexible and resilient in case of network reconfigurations and failures. We further prove that the power flow equations satisfy the sufficient condition for the GGN algorithm to converge to the desired solution. Simulations of the IEEE-118 system show that the proposed scheme estimates and tracks the global state robustly, and degrades gracefully when there are random failures and bad data.
KW - convergence
KW - gossiping
KW - hybrid state estimation
UR - http://www.scopus.com/inward/record.url?scp=84890460191&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890460191&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2013.6638663
DO - 10.1109/ICASSP.2013.6638663
M3 - Conference contribution
SN - 9781479903566
SP - 5243
EP - 5247
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ER -