Title :
A ZIP model-based feeder load modeling and forecasting method
Author :
Dawei He ; Habetler, Thomas ; Mousavi, Mirrasoul J. ; Ning Kang
Author_Institution :
Sch. of Electr. & Comput. Eng., Georgia Tech, Atlanta, GA, USA
Abstract :
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.
Keywords :
SCADA systems; load forecasting; power distribution planning; SCADA data; ZIP model-based feeder load modeling; ZIP model-based methodology; advanced distribution automation; control applications; distribution automation; distribution systems; feeder level operational planning; feeder loads; forecasting method; load modeling; measurement devices; networked sensors proliferation; Curve fitting; Load forecasting; Load modeling; Market research; Mathematical model; Polynomials; Predictive models; Feeder load forecasting; ZIP model; distribution system management; load modeling; time series;
Conference_Titel :
Power and Energy Society General Meeting (PES), 2013 IEEE
Conference_Location :
Vancouver, BC
DOI :
10.1109/PESMG.2013.6672997
