Satisfaction-Based Energy Allocation with Energy Constraint Applying Cooperative Game Theory
نویسندگان
چکیده
There has been an effort for a few decades to keep energy consumption at minimum or least within low-level range. This is more meaningful and complex by including customer’s satisfaction variable ensure that customers can achieve the best quality of life could be derived from how used different devices. We use concept Shapley Value cooperative game theory solve multi-objective optimization problem (MOO) responsibly fulfill user’s maximizing while minimizing power consumption, with constrains since highly limited resources scenarios are studied. The novel method uses quantifiable user satisfaction, along concepts (PS) (ES). model being validated representing single house (with small PV system) connected utility grid. main objectives (i) present innovative based on responsible wellbeing, (ii) demonstrate its implementation using Shapley-value-based algorithm, (iii) include impact solar photovoltaic (PV) system in model. proposed technique determines which hours should allocated maximize ES each scenario, then it compared cases devices usually operated. Through technique, was reduced 75% increased 40% under constraints.
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ژورنال
عنوان ژورنال: Energies
سال: 2021
ISSN: ['1996-1073']
DOI: https://doi.org/10.3390/en14051485