TY - GEN
T1 - A ZIP model-based feeder load modeling and forecasting method
AU - He, Dawei
AU - Habetler, Thomas
AU - Mousavi, Mirrasoul J.
AU - Kang, Ning
PY - 2013
Y1 - 2013
N2 - The ongoing proliferation of networked sensors and measurement devices in distribution systems pave the road for advanced distribution automation and control applications. This paper studies the load modeling and forecasting aspect of distribution automation for feeder level operational planning. Using the daily SCADA data, a ZIP model-based methodology was proposed that provides an aggregate model for feeder loads. The proposed modeling approach was benchmarked against an existing method and its application was highlighted in a case study.
AB - The ongoing proliferation of networked sensors and measurement devices in distribution systems pave the road for advanced distribution automation and control applications. This paper studies the load modeling and forecasting aspect of distribution automation for feeder level operational planning. Using the daily SCADA data, a ZIP model-based methodology was proposed that provides an aggregate model for feeder loads. The proposed modeling approach was benchmarked against an existing method and its application was highlighted in a case study.
KW - distribution system management
KW - Feeder load forecasting
KW - load modeling
KW - time series
KW - ZIP model
UR - https://www.scopus.com/pages/publications/84893165594
U2 - 10.1109/PESMG.2013.6672997
DO - 10.1109/PESMG.2013.6672997
M3 - Conference contribution
AN - SCOPUS:84893165594
SN - 9781479913039
T3 - IEEE Power and Energy Society General Meeting
BT - 2013 IEEE Power and Energy Society General Meeting, PES 2013
T2 - 2013 IEEE Power and Energy Society General Meeting, PES 2013
Y2 - 21 July 2013 through 25 July 2013
ER -