Abstract
Smart Grid State Estimation (SE) aims at providing robust and accurate system state estimate for subsequent control operations to accommodate the disturbance of highly intermittent components. Conventional SE for AC Power Grid formulates the estimation process as a non-convex optimization problem, which may reach a local optimal and stop. To compensate the drawback, Semidefinite Programming (SDP) was recently applied to convexify the non-convex problem with rank one relaxation technique, which shows perspectives with approximately globally optimal estimate. However, as the SDP approach is essentially a centralized algorithm, it is computationally expensive and non-robust to partial network failure, bad data. etc. To ameliorate the current SDP SE approach, this paper presents a distributed algorithm by employing Lagrangian method and graph theory results and particularly by dividing power networks in accordance with network 'cliques'. Correspondingly, significant improvements are illustrated in simulations on IEEE test beds.
| Original language | English (US) |
|---|---|
| Title of host publication | 2013 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2013 |
| DOIs | |
| State | Published - May 6 2013 |
| Externally published | Yes |
| Event | 2013 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2013 - Washington, DC, United States Duration: Feb 24 2013 → Feb 27 2013 |
Other
| Other | 2013 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2013 |
|---|---|
| Country | United States |
| City | Washington, DC |
| Period | 2/24/13 → 2/27/13 |
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ASJC Scopus subject areas
- Hardware and Architecture
Cite this
Distributed algorithm for SDP state estimation. / Weng, Yang; Li, Qiao; Negi, Rohit; Ilic, Marija.
2013 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2013. 2013. 6497823.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Distributed algorithm for SDP state estimation
AU - Weng, Yang
AU - Li, Qiao
AU - Negi, Rohit
AU - Ilic, Marija
PY - 2013/5/6
Y1 - 2013/5/6
N2 - Smart Grid State Estimation (SE) aims at providing robust and accurate system state estimate for subsequent control operations to accommodate the disturbance of highly intermittent components. Conventional SE for AC Power Grid formulates the estimation process as a non-convex optimization problem, which may reach a local optimal and stop. To compensate the drawback, Semidefinite Programming (SDP) was recently applied to convexify the non-convex problem with rank one relaxation technique, which shows perspectives with approximately globally optimal estimate. However, as the SDP approach is essentially a centralized algorithm, it is computationally expensive and non-robust to partial network failure, bad data. etc. To ameliorate the current SDP SE approach, this paper presents a distributed algorithm by employing Lagrangian method and graph theory results and particularly by dividing power networks in accordance with network 'cliques'. Correspondingly, significant improvements are illustrated in simulations on IEEE test beds.
AB - Smart Grid State Estimation (SE) aims at providing robust and accurate system state estimate for subsequent control operations to accommodate the disturbance of highly intermittent components. Conventional SE for AC Power Grid formulates the estimation process as a non-convex optimization problem, which may reach a local optimal and stop. To compensate the drawback, Semidefinite Programming (SDP) was recently applied to convexify the non-convex problem with rank one relaxation technique, which shows perspectives with approximately globally optimal estimate. However, as the SDP approach is essentially a centralized algorithm, it is computationally expensive and non-robust to partial network failure, bad data. etc. To ameliorate the current SDP SE approach, this paper presents a distributed algorithm by employing Lagrangian method and graph theory results and particularly by dividing power networks in accordance with network 'cliques'. Correspondingly, significant improvements are illustrated in simulations on IEEE test beds.
UR - http://www.scopus.com/inward/record.url?scp=84876938901&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84876938901&partnerID=8YFLogxK
U2 - 10.1109/ISGT.2013.6497823
DO - 10.1109/ISGT.2013.6497823
M3 - Conference contribution
AN - SCOPUS:84876938901
SN - 9781467348942
BT - 2013 IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2013
ER -