2020 journal article

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

IEEE Transactions on Smart Grid, 11(6), 5396–5406.

By: J. Wang  n, X. Zhu  n, M. Liang  n, Y. Meng  n, A. Kling *, D. Lubkeman  n, N. Lu n 

author keywords: Wind power generation; Optimization; Generators; Power systems; Computational modeling; Uncertainty; Distribution system; feeder load disaggregation; load profile; power system planning; power system operation; time-series analysis; smart meter data
TL;DR: A pivot-point based, two-stage feeder load disaggregation algorithm using smart meter data that 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. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: ORCID
Added: October 22, 2020

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. 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.