Optimal load scheduling of household appliances considering consumer preferences: An experimental analysis

This paper discusses an experimental study of the home appliances scheduling problem that incorporates realistic aspects. The residential load scheduling problem is solved while considering consumer’s preferences. The objective function minimizes the weighted sum of electricity cost by earning relev...

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Vydané v:Energy (Oxford) Ročník 163; s. 15 - 26
Hlavní autori: Yahia, Z., Pradhan, A.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Elsevier Ltd 15.11.2018
Elsevier BV
Predmet:
Alternative energy sources
Appliances
Binary integer linear programming
consumer preferences
Consumer preferences and flexibility
data collection
Electric appliances
Electricity
electricity costs
Electricity pricing
Energy
Energy consumption
Energy shortages
Experimental analysis
Flexibility
Household appliances
household equipment
Incentives
Inconvenience
Integer programming
linear programming
Objective function
Optimization
Residential load scheduling
Scheduling
Residential load scheduling
Consumer preferences and flexibility
Household appliances
Inconvenience
Experimental analysis
Binary integer linear programming
ISSN:0360-5442, 1873-6785
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Shrnutí:This paper discusses an experimental study of the home appliances scheduling problem that incorporates realistic aspects. The residential load scheduling problem is solved while considering consumer’s preferences. The objective function minimizes the weighted sum of electricity cost by earning relevant incentives, and the scheduling inconvenience. The objective of this study is five-fold. First, it sought to develop and solve a binary integer linear programming optimization model for the problem. Second, it examined the factors that might affect the obtained schedule of residential loads. Third, it aimed to test the performance of a developed optimization model under different experimental scenarios. Fourth, it proposes a conceptual definition of a new parameter in the problem, the so-called “flexibility ratio”. Finally, it adds a data set for use in the literature on the home appliance scheduling problem, which can be used to test the performance of newly-developed approaches to the solution of this problem. This paper presents the results of experimental analysis using four factors: problem size, flexibility ratio, time slot length and the objective function weighting factor. The experimental results show the main and interaction effects, where these exist, on three performance measures: the electricity cost, inconvenience and the optimization model computation time. •The proposed model could eliminate electricity cost by around 35%–50%.•The proposed linear formulation can reduce the computation time in a superior way.•Flexibility ratio has a moderate negative effect on cost function and inconvenience.•Flexibility ratio has a significant positive effect on the computation time.•Short time-slot enlarges the problem size and has a significant impact on computation time.
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ISSN:0360-5442
1873-6785
DOI:10.1016/j.energy.2018.08.113