TY - GEN
T1 - PMU-Timescale Topology Identification of Sub-station Node-Breaker Models using Deep Learning
AU - Azimian, Behrouz
AU - Pal, Anamitra
AU - Abu-Jaradeh, Backer
AU - Chen, Lang
AU - Markham, Penn
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In an actual power system, the bus-branch model used in a state estimator is usually derived from the substation nodebreaker model. Therefore, incorrect topology information in the substation node-breaker model will cause the state estimation results to deteriorate. This paper presents a bus-branch topology identification framework for substation node-breaker models. The proposed method employs phasor measurement unit (PMU) data to identify the intra-substation connectivity at very high speeds. PMU data from Dominion Energy, a power utility in the U.S., is used to validate and test the proposed topology identification framework on the IEEE 30-bus system. The results demonstrate the applicability of the proposed framework for different cases in which varying levels of measurement noise are present under partial system observability provided by PMUs.
AB - In an actual power system, the bus-branch model used in a state estimator is usually derived from the substation nodebreaker model. Therefore, incorrect topology information in the substation node-breaker model will cause the state estimation results to deteriorate. This paper presents a bus-branch topology identification framework for substation node-breaker models. The proposed method employs phasor measurement unit (PMU) data to identify the intra-substation connectivity at very high speeds. PMU data from Dominion Energy, a power utility in the U.S., is used to validate and test the proposed topology identification framework on the IEEE 30-bus system. The results demonstrate the applicability of the proposed framework for different cases in which varying levels of measurement noise are present under partial system observability provided by PMUs.
KW - Deep learning
KW - node-breaker model
KW - phasor measurement unit
KW - state estimation
KW - topology identification
UR - http://www.scopus.com/inward/record.url?scp=85174708572&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174708572&partnerID=8YFLogxK
U2 - 10.1109/PESGM52003.2023.10252994
DO - 10.1109/PESGM52003.2023.10252994
M3 - Conference contribution
AN - SCOPUS:85174708572
T3 - IEEE Power and Energy Society General Meeting
BT - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023
PB - IEEE Computer Society
T2 - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Y2 - 16 July 2023 through 20 July 2023
ER -