Abstract
In recent years the notion of electrical energy micro-grids, in which communities share their locally-generated power, has gained increasing interest. Typically the energy generated comes from renewable resources, which means that its availability is variable-sometimes there may be energy surpluses and at other times energy deficits. This energy variability can be ameliorted by trading energy with a connected main electricity utility grid. But since main electricity grids are subject to faults or other outages, it can be advantageous for energy micro-grids to form coalitions and share their energy among themselves. In this work we present our model for the dynamic formation of such micro-grid coalitions. Our agent-based model, which is scalable and affords autonomy among the micro-grids participating in the coalition (agents can join and depart from coalitions at any time), features methods to reduce overall discomfort, so that even when all participating micro-grids in a coalition experience deficits; they can share energy so that overall discomfort is minimized. We demonstrate the efficacy of our model by showing empirical studies conducted with real energy production and consumption data.
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Yasir, M., Purvis, M., Purvis, M., Savarimuthu, B.T.R. (2015). Dynamic Coalition Formation in Energy Micro-Grids. In: Chen, Q., Torroni, P., Villata, S., Hsu, J., Omicini, A. (eds) PRIMA 2015: Principles and Practice of Multi-Agent Systems. PRIMA 2015. Lecture Notes in Computer Science(), vol 9387. Springer, Cham. https://doi.org/10.1007/978-3-319-25524-8_10
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DOI: https://doi.org/10.1007/978-3-319-25524-8_10
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