A ZIP Model-Based Feeder Load Modeling and Forecasting Method

被引：0
|
作者：
He, Dawei [1 ]
Habetler, Thomas [1 ]
Mousavi, Mirrasoul J. [2 ]
Kang, Ning [2 ]
机构：
[1] Georgia Tech, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[2] Corp Res ABB, Raleigh, NC USA
来源：
2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES) | 2013年
关键词：
Feeder load forecasting; load modeling; distribution system management; ZIP model; time series; SYSTEMS;
D O I：
暂无
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
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.
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页数：5
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