Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

A Data-Driven Pivot-Point-Based Time-Series Feeder Load Disaggregation Method

Journal Article · · IEEE Transactions on Smart Grid
 [1];  [2];  [2];  [2];  [3];  [2];  [2]
  1. North Carolina State University, Raleigh, NC (United States); North Carolina State University
  2. North Carolina State University, Raleigh, NC (United States)
  3. Duke Energy Corporation, Charlotte, NC (United States)
+ Show Author Affiliations
The load profile at a feeder-head is usually known to utility engineers while the nodal load profiles are not. However, the nodal load profiles are increasingly important for conducting time-series analysis in distribution systems. Therefore, in this paper, we present a pivot-point based, two-stage feeder load disaggregation algorithm using smart meter data. The two stages are load profile selection (LPS) and load profile allocation (LPA). In the LPS stage, a random load profile selection process is first executed to meet the load diversity requirement. Then, a few pairs of pivot points are selected as the matching targets. After that, a matching algorithm will run repetitively to select one load profile at a time for matching the reference load profile at the pivot points. In the LPA stage, the LPS selected load profiles are allocated to each load node on the feeder considering distribution transformer loading limits, load composition, and square-footage. The proposed method is validated using actual data collected in a North Carolina service area. Finally, simulation results show that the proposed method can generate a unique load shape for each load node while match the shape of their aggregated profile with the actual feeder head load profile.
Research Organization:
North Carolina State University, Raleigh, NC (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
EE0008770
OSTI ID:
2329491
Journal Information:
IEEE Transactions on Smart Grid, Journal Name: IEEE Transactions on Smart Grid Journal Issue: 6 Vol. 11; ISSN 1949-3053
Publisher:
IEEECopyright Statement
Country of Publication:
United States
Language:
English

References (11)

Using energy storage to mitigate PV impacts on distribution feeders conference February 2014
Predetermined time-step solver for rapid quasi-static time series (QSTS) of distribution systems conference April 2017
Quasi-static time-series test feeder for PV integration analysis on distribution systems
  • Mather, B. A.
  • 2012 IEEE Power & Energy Society General Meeting. New Energy Horizons - Opportunities and Challenges, 2012 IEEE Power and Energy Society General Meeting https://doi.org/10.1109/PESGM.2012.6345414
conference July 2012
Cost-benefit assessment challenges for a smart distribution system: A case study conference July 2017
Motivation and requirements for quasi-static time series (QSTS) for distribution system analysis conference July 2017
A Two-Step Load Disaggregation Algorithm for Quasi-static Time-series Analysis on Actual Distribution Feeders conference August 2018
Load Aggregation Methods for Quasi-Static Power Flow Analysis on High PV Penetration Feeders conference April 2018
Identification of Critical Times for Distribution System Time Series Analysis journal March 2018
GECN: Primary Voltage Control for Active Distribution Networks via Real-Time Demand-Response journal March 2014
Load Modeling—A Review journal November 2018
A Hierarchical VLSM-Based Demand Response Strategy for Coordinative Voltage Control Between Transmission and Distribution Systems journal September 2019

Similar Records

A Two-Step Load Disaggregation Algorithm for Quasi-static Time-series Analysis on Actual Distribution Feeders
Conference · Sun Aug 05 00:00:00 EDT 2018 · OSTI ID:1495058
Deep Factorization Machine Learning for Disaggregation of Transmission Load Profiles with High Penetration of Behind-The-Meter Solar
Journal Article · Thu Jan 16 19:00:00 EST 2025 · IEEE Transactions on Industry Applications · OSTI ID:2574049
Continuation Power Flow Analysis for PV Integration Studies at Distribution Feeders
Conference · Mon Oct 30 00:00:00 EDT 2017 · OSTI ID:1411932

Related Subjects

42 ENGINEERING
distribution system
feeder load disaggregation
load profile
power system operation
power system planning
smart meter data
time-series analysis