In energy distribution systems, uncertainty is the major single cause of power outages. In this paper, we consider the usage of electric batteries in order to mitigate it. We describe an intelligent battery able to maximize its own lifetime while guaranteeing to satisfy all the electric demand peaks. The battery exploits a customized steady-state evolution strategy to dynamically adapt its recharge strategy to changing environments. Experimental results on both synthetic and real data demonstrate the efficacy of the proposed solution.

Adaptive Batteries Exploiting On-Line Steady-State Evolution Strategy / Fadda, Edoardo; Perboli, Guido; Squillero, Giovanni. - STAMPA. - 10199:(2017), pp. 329-341. (Intervento presentato al convegno European Conference on the Applications of Evolutionary Computation tenutosi a Amsterdam) [10.1007/978-3-319-55849-3_22].

Adaptive Batteries Exploiting On-Line Steady-State Evolution Strategy

FADDA, EDOARDO;PERBOLI, GUIDO;SQUILLERO, GIOVANNI
2017

Abstract

In energy distribution systems, uncertainty is the major single cause of power outages. In this paper, we consider the usage of electric batteries in order to mitigate it. We describe an intelligent battery able to maximize its own lifetime while guaranteeing to satisfy all the electric demand peaks. The battery exploits a customized steady-state evolution strategy to dynamically adapt its recharge strategy to changing environments. Experimental results on both synthetic and real data demonstrate the efficacy of the proposed solution.
2017
978-3-319-55848-6
978-3-319-55849-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2669704
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