Peer-to-peer aggregation for dynamic adjustments in power demand

Energy demand-side management becomes a well-established approach in the Smart Power Grid. Aggregation of consumption information is a critical operation performed by most demand-side energy management mechanisms as it provides information about the required adjustment of power demand. However, a centralized demand-side energy management approach controlled exclusively by utility companies is not always scalable, robust and aligned to the privacy requirements of consumers. A large amount of end-user consumption information is aggregated continuously in centralized approaches. This paper introduces an alternative demand-side energy management scheme: ALMA, the Adaptive Load Management by Aggregation. In ALMA, consumers adjust their demand by selecting between different incentivized demand-options based on aggregate consumption information provided by peer-to-peer aggregation mechanisms. The feasibility of dynamic adjustment in power demand is Evangelos Pournaras Delft University of Technology Department of Computer Science & Engineering Mekelweg 4, 2628 CD, Delft, The Netherlands Tel.: +31 (0)15 27 84007 E-mail: [email protected] Martijn Warnier Delft University of Technology Department of Multi-actor Systems Jaffalaan 5, 2628 BX, Delft, The Netherlands Tel.: +31 (0)15 27 82232 E-mail: [email protected] Frances M.T. Brazier Delft University of Technology Department of Multi-actor Systems Jaffalaan 5, 2628 BX, Delft, The Netherlands Tel.: +31 (0)15 27 87529 E-mail: [email protected] 2 Evangelos Pournaras et al. evaluated and confirmed analytically using data from the current reality and practice of Smart Power Grids.