TY - GEN
T1 - Improving distribution network model accuracy using impedance estimation from micro-synchrophasor data
AU - Roberts, C. M.
AU - Shand, C. M.
AU - Brady, K. W.
AU - Stewart, E. M.
AU - McMorran, A. W.
AU - Taylor, G. A.
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/11/10
Y1 - 2016/11/10
N2 - An accurate network model is essential for performing detailed analysis of a power system. The quality of many distribution network models is very diverse, especially for low voltage (LV) networks. To help identify areas where the model is incomplete or incorrect, Micro Phasor Measurement Units (μPMUs) can be integrated into a network. These μPMUs would work together, with a trusted cloud back-end system. The basis for this paper is to determine how the data collected by μPMUs can be used, and what can be calculated from this data to help recognize areas where the network model is inaccurate and may need resurveyed. As a preliminary investigation to determine the feasibility of the approach, this paper discusses the calculation of the impedance of both a transformer and line, and compares the values obtained from μPMU data to the level of value expected on the network.
AB - An accurate network model is essential for performing detailed analysis of a power system. The quality of many distribution network models is very diverse, especially for low voltage (LV) networks. To help identify areas where the model is incomplete or incorrect, Micro Phasor Measurement Units (μPMUs) can be integrated into a network. These μPMUs would work together, with a trusted cloud back-end system. The basis for this paper is to determine how the data collected by μPMUs can be used, and what can be calculated from this data to help recognize areas where the network model is inaccurate and may need resurveyed. As a preliminary investigation to determine the feasibility of the approach, this paper discusses the calculation of the impedance of both a transformer and line, and compares the values obtained from μPMU data to the level of value expected on the network.
KW - Micro-Synchrophasor
KW - Parameter estimation
KW - Phasor Measurement Unit
KW - Underground cable modeling
UR - http://www.scopus.com/inward/record.url?scp=85002293045&partnerID=8YFLogxK
U2 - 10.1109/PESGM.2016.7742028
DO - 10.1109/PESGM.2016.7742028
M3 - Conference contribution
AN - SCOPUS:85002293045
T3 - IEEE Power and Energy Society General Meeting
BT - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016
PB - IEEE Computer Society
T2 - 2016 IEEE Power and Energy Society General Meeting, PESGM 2016
Y2 - 17 July 2016 through 21 July 2016
ER -