Details
| Original language | English |
|---|---|
| Title of host publication | 2009 IEEE/PES Power Systems Conference and Exposition |
| Pages | 1-7 |
| Number of pages | 7 |
| Publication status | Published - 1 Mar 2009 |
Abstract
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
Sustainable Development Goals
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2009 IEEE/PES Power Systems Conference and Exposition. 2009. p. 1-7.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
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 -