Determination of load and generation composition in distribution grids

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks2009 IEEE/PES Power Systems Conference and Exposition
Seiten1-7
Seitenumfang7
PublikationsstatusVeröffentlicht - 1 März 2009

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.

Ziele für nachhaltige Entwicklung

Zitieren

Determination of load and generation composition in distribution grids. / Reese, C.; Hofmann, L.
2009 IEEE/PES Power Systems Conference and Exposition. 2009. S. 1-7.

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Reese, C & Hofmann, L 2009, Determination of load and generation composition in distribution grids. in 2009 IEEE/PES Power Systems Conference and Exposition. S. 1-7. https://doi.org/10.1109/PSCE.2009.4840127
Reese, C., & Hofmann, L. (2009). Determination of load and generation composition in distribution grids. In 2009 IEEE/PES Power Systems Conference and Exposition (S. 1-7) https://doi.org/10.1109/PSCE.2009.4840127
Reese C, Hofmann L. Determination of load and generation composition in distribution grids. in 2009 IEEE/PES Power Systems Conference and Exposition. 2009. S. 1-7 doi: 10.1109/PSCE.2009.4840127
Reese, C. ; Hofmann, L. / Determination of load and generation composition in distribution grids. 2009 IEEE/PES Power Systems Conference and Exposition. 2009. S. 1-7
Download
@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",

}

Download

TY - GEN

T1 - Determination of load and generation composition in distribution grids

AU - Reese, C.

AU - Hofmann, L.

PY - 2009/3/1

Y1 - 2009/3/1

N2 - 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.

AB - 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.

KW - distribution networks

KW - energy management systems

KW - load forecasting

KW - power grids

KW - distribution grids

KW - distributed energy generation

KW - energy management system

KW - grid state identification

KW - time series

KW - Mesh generation

KW - Energy consumption

KW - Load forecasting

KW - Energy management

KW - Power supplies

KW - Agriculture

KW - Investments

KW - Voltage

KW - Power generation

KW - Electrical products industry

KW - analytic load profiles

KW - mean voltage level

U2 - 10.1109/PSCE.2009.4840127

DO - 10.1109/PSCE.2009.4840127

M3 - Conference contribution

SP - 1

EP - 7

BT - 2009 IEEE/PES Power Systems Conference and Exposition

ER -

Von denselben Autoren