NDLI: Using smart meters to build feeder section load profiles to evaluate distributed energy resource connections

Content Provider	IEEE Xplore Digital Library
Author	Boudreau, R.E.
Copyright Year	2013
Description	Author affiliation: Hydro One Networks Inc., Toronto, ON, Canada (Boudreau, R.E.)
Abstract	This paper describes how Hydro One Networks Inc used smart meters to build load profiles for sections of a feeder. In the past, Hydro One knew the annual peak loads of each whole distribution class feeder, but did not know the minimum load, or the profile of hourly load values. Hydro One also did not regularly measure the actual load at sections of whole feeders. The appearance of Distributed Energy Resources created a need for Hydro One to know minimum loads, since minimum load is the most constraining condition during times of maximum generation. The use of Smart Meters to enable Time-of-Use rates created the ability to calculate the load for smaller sections of feeders by aggregating the existing meter data for those sections, and to know the hourly profile of the feeder sections. The analysis of the load profiles showed that minimum loads on feeders were lower than expected, the difference between peak load and minimum load was greater than expected, and the variation in minimum to peak load ratios between sections was greater than expected. The end result was less capacity for Distributed Energy Resources than originally expected, but a way to ensure a better match between load and generation.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	1
Ending Page	5
File Size	198287
Page Count	5
File Format	PDF
ISBN	9781467348942
e-ISBN	9781467348966
e-ISBN	9781467348959
DOI	10.1109/ISGT.2013.6497907
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-02-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Energy resources Switches Generators Smart meters Planning Standards Geographic information systems
Content Type	Text
Resource Type	Article

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