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Energy and CO<inf>2</inf> efficient scheduling of smart appliances in active houses equipped with batteries

descriptionPublicationkeyboard_double_arrow_right Conference object , Article , Contribution for newspaper or weekly magazine 01 Aug 2014 United Kingdom, Sweden Publisher:IEEEJournal:2014 IEEE International Conference on Automation Science and Engineering (CASE)

Authors: Paridari, Kaveh; Parisio, Alessandra; Sandberg, Henrik; Johansson, Karl Henrik;

doi: 10.1109/coase.2014.6899394

Energy and CO<inf>2</inf> efficient scheduling of smart appliances in active houses equipped with batteries

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Abstract

In this paper, we present a novel method for scheduling smart appliances and batteries, in order to reduce both the electricity bill and the CO 2 emissions. Mathematically, the scheduling problem is posed as a multi-objective Mixed Integer Linear Programming (MILP), which can be solved by using standard algorithms. A case study is performed to assess the performance of the proposed scheduling framework. Numerical results show that the new formulation can decrease both the CO 2 emissions and the electricity bill. Furthermore, a survey of studies that deal with scheduling of smart appliances is provided. These papers use methods based on MILP, Dynamic Programming (DP), and Minimum Cut Algorithm (MCA) for solving the scheduling problem. We discuss their performance in terms of computation time and optimality versus time discretization and number of appliances.

Countries

United Kingdom, Sweden

Related Organizations

Royal Institute of Technology
Sweden
University of Salford
United Kingdom

Keywords

batteries, energy scheduling, graph theory, carbon dioxide efficient scheduling, smart appliances, Optimal scheduling, multiobjective mixed integer linear programming, active houses, environmental management, secondary cells, Automation, Batteries, Electricity, Reglerteknik, electricity bill reduction, Home appliances, scheduling, integer programming, MILP, dynamic programming, carbon dioxide emission reduction, minimum cut algorithm, Scheduling, linear programming, Control Engineering, power system economics, Power demand, domestic appliances

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	17
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%