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

fYear

2013

fDate

21-25 July 2013

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Power and Energy Society General Meeting (PES), 2013 IEEE

Conference_Location

Vancouver, BC

ISSN

1944-9925

Type

conf

DOI

10.1109/PESMG.2013.6672997

Filename

6672997