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@ARTICLE{Fritz:1044902,
author = {Fritz, Jakob M. and Riebesel, Lea and Xhonneux, André and
Müller, Dirk},
title = {{MASSIVE}: {A} scalable framework for agent-based
scheduling of micro-grids using market mechanisms},
journal = {Energy informatics},
volume = {8},
number = {1},
issn = {2520-8942},
address = {Cham},
publisher = {Springer International Publishing},
reportid = {FZJ-2025-03429},
pages = {101},
year = {2025},
abstract = {With the increasing share of distributed renewable energy
sources the need arises to store excess energy and/or to
shift demands to match the given supply. To coordinate
multiple suppliers and demands in a local energy-system
different control approaches can be used. This publication
introduces a framework called MASSIVE that aims to
coordinate multiple participants in a district
energy-system. The energy-system is controlled in a
distributed way by using a multiagent approach that is
scheduled by a market-mechanism. This market-mechanism
allows to coordinate many individual agents with only few
restrictions by using pricing mechanisms. This offers an
incentive for the agents to adapt their power consumption to
best match the forecasted power supply. However, the agents
are free to follow this incentive or ignore it depending on
the value of the incentive. The individual agents are
flexible in the internal approach to forecast power supply
or demand, allowing easy development of agents using
individual algorithms. The coordination takes place using a
market-mechanism that is similar to the day-ahead market.
It, however, is run multiple times a day to form a rolling
horizon, making it less sensitive to forecasting errors. The
market approach furthermore exhibits a nearly linear
scalability with regard to the duration of the market
clearing. On the used computer, the creation and solving of
the linear optimization-problem is performed in less than
one minute for approximately 1500 participating agents.
Therefore, this approach is capable of real-time use and can
be used in real-world applications.},
cin = {ICE-1},
ddc = {333.7},
cid = {I:(DE-Juel1)ICE-1-20170217},
pnm = {1121 - Digitalization and Systems Technology for
Flexibility Solutions (POF4-112) / LLEC - Living Lab Energy
Campus (LLEC-2018-2023)},
pid = {G:(DE-HGF)POF4-1121 / G:(DE-HGF)LLEC-2018-2023},
typ = {PUB:(DE-HGF)16},
doi = {10.1186/s42162-025-00558-w},
url = {https://juser.fz-juelich.de/record/1044902},
}