TY - GEN
T1 - Distribution grid topology reconstruction
T2 - North American Power Symposium, NAPS 2015
AU - Liao, Yizheng
AU - Weng, Yang
AU - Wu, Meng
AU - Rajagopal, Ram
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/20
Y1 - 2015/11/20
N2 - Recently, a rapidly penetration of distributed generation raises various issues. One of the key issues is frequent distribution grid re-configuration, which is hard to detect based on traditional approaches. Wrong topology information causes wrong control signal, making fast changing smart grid prone to go over stability boundaries and to collapse. To ensure system robustness, we propose a new data-driven re-configuration approach, thanks to recently progressively deployed larger sensor networks in distribution systems by utilities. Specifically, an Information Theory based algorithm, Chow-Liu algorithm, is used based on a proof for assumption and verification in distribution systems. Simulation results show highly accurate re-configuration estimation in IEEE standard distribution test systems.
AB - Recently, a rapidly penetration of distributed generation raises various issues. One of the key issues is frequent distribution grid re-configuration, which is hard to detect based on traditional approaches. Wrong topology information causes wrong control signal, making fast changing smart grid prone to go over stability boundaries and to collapse. To ensure system robustness, we propose a new data-driven re-configuration approach, thanks to recently progressively deployed larger sensor networks in distribution systems by utilities. Specifically, an Information Theory based algorithm, Chow-Liu algorithm, is used based on a proof for assumption and verification in distribution systems. Simulation results show highly accurate re-configuration estimation in IEEE standard distribution test systems.
KW - Information Theory
KW - Power Distribution Network
KW - Topology/Structure Learning
KW - Voltage Measurement
UR - http://www.scopus.com/inward/record.url?scp=84961842108&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84961842108&partnerID=8YFLogxK
U2 - 10.1109/NAPS.2015.7335248
DO - 10.1109/NAPS.2015.7335248
M3 - Conference contribution
AN - SCOPUS:84961842108
T3 - 2015 North American Power Symposium, NAPS 2015
BT - 2015 North American Power Symposium, NAPS 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 October 2015 through 6 October 2015
ER -