2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) 2019
DOI: 10.1109/isgteurope.2019.8905594
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Flexibility quantification and pricing of household heat pump and combined heat and power unit

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Cited by 5 publications
(5 citation statements)
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“…Here, a simple representation in the form of a set of power time series was chosen, whereby a combinatorial problem had to be solved. Other flexibility representations, see, e.g., in [33,34] could allow a better utilization of the actual DG flexibility. They also influence the calculation effort that individual agents have in local optimization and thus also the duration of negotiations.…”
Section: Discussionmentioning
confidence: 99%
“…Here, a simple representation in the form of a set of power time series was chosen, whereby a combinatorial problem had to be solved. Other flexibility representations, see, e.g., in [33,34] could allow a better utilization of the actual DG flexibility. They also influence the calculation effort that individual agents have in local optimization and thus also the duration of negotiations.…”
Section: Discussionmentioning
confidence: 99%
“…This sample is signi cant as the households involved are situated in regions with insu cient grid and supply capacity. Moreover, they represent a target group for exibility measures due to the presence of heat pumps in their detached houses, which offers signi cant potential for load shifting [34,35]. Detached houses are signi cant in energy research for several reasons.…”
Section: Methodsmentioning
confidence: 99%
“…Fonteijn et al demonstrates a generic four step congestion management approach using prosumer flexibility [6]. Several methods have also been proposed to quantify the flexibility from prosumers devices such photovoltaics (PV) and battery system, electric vehicles, heat pumps to allow interaction of prosumers with the DSOs using flexibility markets [7][8][9].…”
Section: Introductionmentioning
confidence: 99%