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Title: Net Electricity Clustering at Different Temporal Resolutions Using a SAX-Based Method for Integrated Distribution System Planning

Journal Article · · IEEE Access
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This paper addresses a major utility and regulator concern of characterizing customer net electricity consumption profiles to realize integrated distribution system planning. This is pivotal in assessing the capability of the power system to accommodate net load variability and its impacts on the grid such as voltage rise, narrowing peak demand duration, and reducing the cost of energy storage. Although the extant literature has focused on load clustering, this paper uses a symbolic aggregate approximation-based (SAX-based) dimensionality- reduction and k-means techniques to cluster net consumption of smart meter data for more than 3500 residential customers in a month at different temporal resolutions. This study proposes the use of cumulative explained variance in the principal component analysis to determine the optimal number of segments and dimensionality of the transformed space during discretization while retaining the data integrity instead of using intuition, as proposed by the extant literature. Also, this paper describes a screening methodology to determine the distribution of high-voltage customers among the resulting clusters of customers with and without on-site solar photovoltaic generation at different time resolutions.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office; Hawaiian Electric Company
Grant/Contract Number:
AC36-08GO28308; CRD-16-00630
OSTI ID:
1839771
Alternate ID(s):
OSTI ID: 1562868; OSTI ID: 1861094
Report Number(s):
NREL/JA-5D00-73858; 8819916
Journal Information:
IEEE Access, Journal Name: IEEE Access Vol. 7; ISSN 2169-3536
Publisher:
Institute of Electrical and Electronics EngineersCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 5 works
Citation information provided by
Web of Science

Figures / Tables (13)

FIGURE 1(p. 2)figure FIGURE 1
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FIGURE 6(p. 4)figure FIGURE 6
FIGURE 7(p. 5)figure FIGURE 7
FIGURE 8(p. 5)figure FIGURE 8
FIGURE 10(p. 6)figure FIGURE 10
FIGURE 9(p. 6)figure FIGURE 9
TABLE 1(p. 7)table TABLE 1
TABLE 2(p. 7)table TABLE 2
TABLE 3(p. 8)table TABLE 3

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Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
symbolic aggregate approximation
clustering
net electricity consumption
principal component analysis