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Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0002-4210-8672
KTH, School of Electrical Engineering (EES), Automatic Control.
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0003-1835-2963
KTH, School of Electrical Engineering (EES), Automatic Control.ORCID iD: 0000-0001-9940-5929
2014 (English)In: Automation Science and Engineering (CASE), 2014 IEEE International Conference on, IEEE conference proceedings, 2014, 632-639 p.Conference paper (Refereed)
Abstract [en]

In this paper, we present a novel method for scheduling smart appliances and batteries, in order to reduce both the electricity bill and the CO2 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 CO2 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.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. 632-639 p.
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-164081DOI: 10.1109/CoASE.2014.6899394OAI: diva2:803424
2014 IEEE International Conference on Automation Science and Engineering (CASE)18-22 Aug. 2014, Taipei

This paper was one of the Best student paper award finalist.

QC 20150427

Available from: 2015-04-13 Created: 2015-04-13 Last updated: 2015-04-27Bibliographically approved

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