Title
Vertical Load Uncertainty at the T/D Boundary under different spatial der allocation techniques
Date Issued
01 September 2019
Access level
open access
Resource Type
conference paper
Author(s)
Heymann F.
Silva J.
Vilaca P.
Soares F.J.
Duenas P.
Miranda V.
Federal University of ABC
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
Vertical load is the power flow between electrical transmission and distribution networks. In the past, large-scale generators connected to transmission systems supplied consumers connected to lower voltage levels across distribution grids. Thus, vertical loads tended to be downward-oriented. This paper presents a spatiotemporal distributed energy resources (DER) diffusion model to analyze vertical load uncertainty resulting from different DER diffusion process representations currently used in the industry and academia. Network planners and operators can use such model to understand the long-term evolution of load at the T/D boundary. The proposal is applied to the Portuguese power system, combining, as first of its kind, highly granulated population census with georeferenced transmission and distribution network datasets. This application analyzes the 20-year evolution of such vertical load flows at the transmission-distribution boundary under a strong uptake of DER embodied in lower voltage levels in Portugal.
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Scopus EID
2-s2.0-85073393689
ISBN
9781728111568
Resource of which it is part
SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies
ISBN of the container
978-172811156-8
Conference
2nd International Conference on Smart Energy Systems and Technologies, SEST 2019
Sponsor(s)
The authors gratefully acknowledge the provision of data-sets by the Portuguese Energy Agency (ADENE) and CEiiA as well as the financial support granted under FCT-MIT Portugal Scholarship PD/BD/114262/2016 and INCT-INERGE, CNPq (grant: 422044/2018-0) and Sao Paulo Research Foundation (FAPESP) under grant: #2017/22577-9, #2019/00466-6.
Sources of information: Directorio de Producción Científica Scopus