Improved Peak Load Estimation from Single and Multiple Consumer Categories
Paper in proceeding, 2020

Velander’s formula and coincidence factors have traditionally been used to estimate peak load for new connections in the distribution grid. By re-evaluating their underlying assumptions, this paper proposes two improved models for aggregated peak load estimation (PLE). For single-category load aggregation, the proposed coincidence factor model, by incorporating an average correlation coefficient, improves the model fitting by 76%–96% as compared to the standard Rusck model. For multiple-category load aggregation, the proposed joint Gaussian regression model reduces the PLE bias from 3%–34% to 0.2%–3% compared to the traditional approach.
(see the full paper in 4 pages)

load aggregation

peak load estimation

modified Velander fomula

Author

Kristoffer Fürst

Chalmers, Electrical Engineering, Electric Power Engineering, Power grids and Components

Peiyuan Chen

Chalmers, Electrical Engineering, Electric Power Engineering, Power grids and Components

Irene Yu-Hua Gu

Chalmers, Electrical Engineering

Lang Tong

Cornell University

IET Conference Publications

Vol. 2020 CP767 178-181

CIRED 2020 Berlin Workshop, CIRED 2020
Virtual; online, ,

Areas of Advance

Energy

Subject Categories

Energy Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1049/oap-cired.2021.0300

More information

Latest update

11/5/2021