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Multi-class appliance scheduling for cost-effective energy management with constraint and user preferences

M. F. Ali Khan, P. Chandramani

Scientia Iranica(2022)

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Abstract
It took decades for electrical power grids to transform from traditional to smart power grids with focus on transparency on utility and consumer. Energy management systems play a substantial role in responding to demands within the smart power grid umbrella, enabling demand-side management at the residential level. These systems generate consumption profiles of appliances and reduce the burden on end-user in scheduling appliance operations. By using these consumption profiles of past usage, there is a possibility to generate a time window containing user preferable time slots for appliance operation for the next day. Using this time window, one can generate a cost-effective schedule pattern autonomously. In this regard, this paper proposes a home energy-demand management scheme consisting of a time window generator and a schedule pattern generator to generate a cost-effective comfortable scheduling pattern with a demand threshold constraint. Multi-class home appliances enabled with a net-meter indicate the effectiveness of the proposed approach. The simulation results illustrate that the proposed approach helps users save electricity bills with constraint preserving comfort. (c) 2022 Sharif University of Technology. All rights reserved.
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Key words
Artificial Neural Network (ANN),Home energy management,Multi-class appliance,Net-meter,Pattern-generation algorithm,User comfort
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