Improved Peak Load Estimation from Single and Multiple Consumer Categories
Conference contribution, 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)

peak load estimation

load aggregation

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

CIRED 2020 Berlin Workshop
Berlin , Germany,

Areas of Advance

Energy

Subject Categories

Energy Systems

Other Electrical Engineering, Electronic Engineering, Information Engineering

Related datasets

https://www.cired2020berlin.org/index.html [dataset]

More information

Latest update

8/13/2020