Improved Peak Load Estimation from Single and Multiple Consumer Categories
Konferensbidrag (offentliggjort, men ej förlagsutgivet), 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

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

CIRED 2020 Berlin Workshop
Berlin , Germany,

Styrkeområden

Energi

Ämneskategorier

Energisystem

Annan elektroteknik och elektronik

Relaterade dataset

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

Mer information

Senast uppdaterat

2020-08-13