An Optimal Load Scheduling Approach Considering User Preference and Convenience Level for Smart Homes

Leehter Yao, Fazida Hanim Hashim, Sun Sheng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Load scheduling remains an important role in home energy management systems (HEMS) in order to achieve maximum user satisfaction. With different load characteristics, home appliances need to be modeled accurately and efficiently to achieve the goals set by the homeowner. This paper introduces a new computationally efficient approach to model three different types of loads in HEMS, in which the goal is to simultaneously minimize electricity cost and maximize user convenience. A user convenience function is introduced to model the time an appliance is expected to run, according to the priority set by the user. To avoid the complexity and ambiguity in having two different objectives with different unit measurements, a weighted summation function with a normalization parameter is proposed in order to normalize the values between cost and convenience. Six home appliances which represent three different load characteristics are simulated in real time, where each appliance is assigned with a user preference parameter set as the weights to the objective function. Extensive simulations show that the proposed scheme is able to compensate between cost and convenience for different levels of preference parameters using a weighted summation optimization function.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728106526
DOIs
Publication statusPublished - 1 Jun 2019
Event19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 - Genoa, Italy
Duration: 11 Jun 201914 Jun 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019

Conference

Conference19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019
CountryItaly
CityGenoa
Period11/6/1914/6/19

Fingerprint

Smart Home
User Preferences
Scheduling
Energy management systems
Domestic appliances
Energy Management
Summation
Costs
User Satisfaction
Normalize
Function Optimization
Electricity
Normalization
Objective function
Maximise
Minimise
Unit
Model
Simulation

Keywords

  • home energy management system (HEMS)
  • linear programming
  • load scheduling
  • user preference

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Environmental Engineering
  • Control and Optimization

Cite this

Yao, L., Hashim, F. H., & Sheng, S. (2019). An Optimal Load Scheduling Approach Considering User Preference and Convenience Level for Smart Homes. In Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019 [8783614] (Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEEIC.2019.8783614

An Optimal Load Scheduling Approach Considering User Preference and Convenience Level for Smart Homes. / Yao, Leehter; Hashim, Fazida Hanim; Sheng, Sun.

Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8783614 (Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yao, L, Hashim, FH & Sheng, S 2019, An Optimal Load Scheduling Approach Considering User Preference and Convenience Level for Smart Homes. in Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019., 8783614, Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019, Institute of Electrical and Electronics Engineers Inc., 19th IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019, Genoa, Italy, 11/6/19. https://doi.org/10.1109/EEEIC.2019.8783614
Yao L, Hashim FH, Sheng S. An Optimal Load Scheduling Approach Considering User Preference and Convenience Level for Smart Homes. In Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8783614. (Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019). https://doi.org/10.1109/EEEIC.2019.8783614
Yao, Leehter ; Hashim, Fazida Hanim ; Sheng, Sun. / An Optimal Load Scheduling Approach Considering User Preference and Convenience Level for Smart Homes. Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (Proceedings - 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe, EEEIC/I and CPS Europe 2019).
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