Load Disaggregation Based on Aided Linear Integer Programming

Bhotto, Md. Zulfiquar Ali; Makonin, Stephen; Bajic, Ivan V.

Load Disaggregation Based on Aided Linear Integer Programming

Engineering Science, School of

Author:

Bhotto, Md. Zulfiquar Ali

Makonin, Stephen

Bajic, Ivan V.

Peer reviewed:

Yes, item is peer reviewed.

Scholarly level:

Faculty/Staff

Final version published as:

M. Z. Ali Bhotto; S. Makonin; I. Bajic, "Load Disaggregation Based on Aided Linear Integer Programming," in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 64, no. 7, pp.792-796, Jul. 2017. http://doi.org/10.1109/TCSII.2016.2603479

Date created:

2016

Identifier:

DOI: 10.1109/TCSII.2016.2603479

Keywords:

Circuits and systems

Home appliances

IP networks

Linear programming

Smart meters

Steady-state

Transient analysis

Integer programming

NILM

Combinatorial optimization

Load disaggregation

Abstract:

Load disaggregation based on aided linear integer programming (ALIP) is proposed. We start with a conventional linear integer programming (IP) based disaggregation and enhance it in several ways. The enhancements include additional constraints, correction based on a state diagram, median filtering, and linear programming-based refinement. With the aid of these enhancements, the performance of IP-based disaggregation is significantly improved. The proposed ALIP system relies only on the instantaneous load samples instead of waveform signatures, and hence works well on low-frequency data. Experimental results show that the proposed ALIP system performs better than conventional IP-based load disaggregation.

Language:

English

Document type:

Article

Rights:

Rights remain with the authors.

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