Determination of load and generation composition in distribution grids

verfasst von: C. Reese, L. Hofmann
Abstract: Due to the permanently increasing portion of distributed energy generation, energy management systems become more important to allow a stable operation of the grid at its limits. Distribution grids are often sparsely monitored and an upgrade of measuring technology is associated with high costs. However, information about load behaviour at the nodes of a grid is essential for grid state identification and load forecasting. In this paper an algorithm is developed which determines load and generation composition on each node of a distribution grid using standardized load and generation profiles. The results of this method allow the creation of time series of nodal power. Thus, it is possible to predict the utilization and the state of a grid more precisely by avoiding investments in additional measurement equipment.
Organisationseinheit(en): Fachgebiet Elektrische Energieversorgung
Institut für Elektrische Energiesysteme
Typ: Aufsatz in Konferenzband
Seiten: 1-7
Anzahl der Seiten: 7
Publikationsdatum: 01.03.2009
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
Ziele für nachhaltige Entwicklung: SDG 7 – Erschwingliche und saubere Energie
Elektronische Version(en): https://doi.org/10.1109/PSCE.2009.4840127 (Zugang: Unbekannt)

BibTeX

@inproceedings{6fad2d1ec95c4ab88124c9fe5e1ac61e,
title = "Determination of load and generation composition in distribution grids",
abstract = "Due to the permanently increasing portion of distributed energy generation, energy management systems become more important to allow a stable operation of the grid at its limits. Distribution grids are often sparsely monitored and an upgrade of measuring technology is associated with high costs. However, information about load behaviour at the nodes of a grid is essential for grid state identification and load forecasting. In this paper an algorithm is developed which determines load and generation composition on each node of a distribution grid using standardized load and generation profiles. The results of this method allow the creation of time series of nodal power. Thus, it is possible to predict the utilization and the state of a grid more precisely by avoiding investments in additional measurement equipment.",
keywords = "distribution networks, energy management systems, load forecasting, power grids, distribution grids, distributed energy generation, energy management system, grid state identification, time series, Mesh generation, Energy consumption, Load forecasting, Energy management, Power supplies, Agriculture, Investments, Voltage, Power generation, Electrical products industry, analytic load profiles, mean voltage level",
author = "C. Reese and L. Hofmann",
year = "2009",
month = mar,
day = "1",
doi = "10.1109/PSCE.2009.4840127",
language = "English",
pages = "1--7",
booktitle = "2009 IEEE/PES Power Systems Conference and Exposition",
}