DocumentCode :
24121
Title :
Transformational Benefits of AMI Data in Transformer Load Modeling and Management
Author :
Yuan-Liang Lo ; Shih-Che Huang ; Chan-Nan Lu
Author_Institution :
Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
Volume :
29
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
742
Lastpage :
750
Abstract :
Distribution network designers use a transformer load-management system to estimate and examine the historical and current loads occurring on transformers and test proposed load situations. Due to a lack of measurements at the feeders and distribution transformers, the confidence on the transformer load-management reports was low in the past. Intelligent equipment and advanced information and communication technology are now being integrated into distribution networks at an unprecedented speed. The technology advancement provides an opportunity to enhance transformer load modeling and management. In this paper, a framework using synchronized measurements obtained from different information systems via a utility´s enterprise service bus is proposed to calculate the actual load profiles of distribution transformers and reflect changing system conditions. Network analyses resulting from using improved system models based on distribution state estimation allow the system operators and designers to make informed decisions concerning where new loads can be added and when new transformer capacity must be included.
Keywords :
distribution networks; load management; metering; power transformers; AMI data transformational benefits; advanced metering infrastructure; distribution state estimation; distribution transformer load profiles; information systems; network analyses; synchronized measurements; transformer capacity; transformer load management; transformer load modeling; utility enterprise service bus; Current measurement; Load modeling; Loading; Phase transformers; Time-domain analysis; Time-varying systems; Voltage measurement; Advanced metering infrastructure; customer information system; distribution state estimation; distribution system operation and planning; load estimation; outage-management system; transformer load management;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2013.2280574
Filename :
6607246
Link To Document :
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