Power-Dependent Price Profiles - Defining Grid- and Market-Oriented Incentives for Building Energy Management Systems

In order to consider the grid- and market-oriented situation of the energy system and provide corresponding price signals for building energy management systems (BEMS), we propose time- and power-dependent price profiles. Those incentive signals are meant to allow the optimization of BEMS towards dynamic prices while providing a clear incentive to limit power during grid congestion. We evaluate those signals with a generic battery optimizer that is capable of optimizing towards them. Simulations show that those time- and power-dependent grid signals can reduce peak loads in distribution grids while at the same time allowing more market orientation than volumetric dynamic grid fees.

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Publication Details

Journal
ACM SIGEnergy Energy Informatics Review
Published
2024-10-01
DOI
https://doi.org/10.1145/3717413.3717420
Citations
1
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.21
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article

Power-Dependent Price Profiles - Defining Grid- and Market-Oriented Incentives for Building Energy Management Systems

Tobias Riedel, Hartmut Schmeck, Carl Hauschke
1 citations
ACM SIGEnergy Energy Informatics Review
Smart Grid Energy Management
0.21
article

Power-Dependent Price Profiles - Defining Grid- and Market-Oriented Incentives for Building Energy Management Systems

Tobias Riedel, Hartmut Schmeck, Carl Hauschke
article en
1 citations

Abstract

In order to consider the grid- and market-oriented situation of the energy system and provide corresponding price signals for building energy management systems (BEMS), we propose time- and power-dependent price profiles. Those incentive signals are meant to allow the optimization of BEMS towards dynamic prices while providing a clear incentive to limit power during grid congestion. We evaluate those signals with a generic battery optimizer that is capable of optimizing towards them. Simulations show that those time- and power-dependent grid signals can reduce peak loads in distribution grids while at the same time allowing more market orientation than volumetric dynamic grid fees.

ACM SIGEnergy Energy Informatics ReviewVol. 4(4)
Karlsruhe Institute of Technology (DE), FZI Research Center for Information Technology (DE)
Openalex Percentile: Top 44%
Smart Grid Energy Management
0.21
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