Improved Peak Load Estimation from Single and Multiple Consumer Categories
Paper i 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

Författare

Kristoffer Fürst

Chalmers, Elektroteknik, Elkraftteknik, Elnät och komponenter

Peiyuan Chen

Chalmers, Elektroteknik, Elkraftteknik, Elnät och komponenter

Irene Yu-Hua Gu

Chalmers, Elektroteknik

Lang Tong

Cornell University

IET Conference Publications

Vol. 2020 CP767 178-181

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

Styrkeområden

Energi

Ämneskategorier

Energisystem

Annan elektroteknik och elektronik

DOI

10.1049/oap-cired.2021.0300

Mer information

Senast uppdaterat

2021-11-05