Load Scheduling for Household Energy Consumption Optimization
IEEE Transactions on Smart GridPublished 26 April 2013
Alessandro Agnetis, Gianluca de Pascale, Paolo Detti, Antonio Vicino
Citations255
SJR quartileQ1
SJR score4.61
SNIP3.02
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TL;DR
A MILP model and a heuristic algorithm accounting for a typical household user are devised, showing that the problem of optimally scheduling a set of appliances at the end-user premises can be efficiently solved in real-life instances.
Abstract
This paper concerns the problem of optimally scheduling a set of appliances at the end-user premises. In the context of electricity smart grids, the electric energy fee varies over time and the user may receive a reward from an energy aggregator if he/she modifies his/her consumption profile during certain time intervals. The problem is to schedule the operation of the appliances taking into account overall costs, climatic comfort level and timeliness. We devise a MILP model and a heuristic algorithm accounting for a typical household user. Several numerical simulation results are reported, showing that the problem can be efficiently solved in real-life instances.
Keywords
EnergyEngineering
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