Wache, Holger

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Wache
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Holger
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Wache, Holger

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2018 - 20192
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Autor:in: Hall, Monika × Dateien dazu vorhanden?: Ja ×

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  • Vorschaubild
    Publikation
    Multi-agent based simulation of smart building cluster for electric grid stabilization
    (IOP Publishing, 21.11.2019) Hall, Monika; Geissler, Achim; Wache, Holger [in: Journal of Physics: Conference Series]
    With the increasing number of photovoltaic systems and heat pumps in buildings existing substations of the electric grid could be overloaded. A multi-agent based simulation of a building cluster studies the impact of building flexibility in regard to the residual substation load. Each building announces its available flexibility, e.g. "heat pump can be switched off/on". A master coordinator evaluates all incoming offers and decides which offers are accepted. This reduces the residual load at the substation. This paper presents results from a study of the impact at the substation of a smart urban building cluster with different penetration scenarios of heat pumps, photovoltaic systems, batteries and electric vehicles. It is shown that a high penetration of heat pumps and photovoltaic systems violates the substation's limits for the studied building cluster. Batteries cannot reduce the peak utilization. The master coordinator's load shifting options are limited.
    01A - Beitrag in wissenschaftlicher Zeitschrift
  • Vorschaubild
    Publikation
    Poster abstract: SmartStability. A multi-agent simulation environment for flexibility trading in households
    (Springer, 01.02.2018) Wache, Holger; Künzli, Michael; Schulz, Nicola; Bichsel, Jürg; Hall, Monika [in: Computer Science - Research and Development]
    The increasing number of volatile energy sources, such as solar power plants, challenges the power network operators, the energy brokers as well as the electricity market actors. In this work, a multi-agent based approach will be introduced that allows multiple households to trade flexibilities, on top of the usual selling of produced energy to the paying consumer. Flexibility trading allows different optimisations for different actors. They can slightly shift their electricity consumption, e.g. by turning boilers on/off, to optimise the system (e.g. follow a predefined schedule). Simulation results indicate that a flexibility market consisting of only few households can already help to optimise the system.
    01A - Beitrag in wissenschaftlicher Zeitschrift