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• W2767202176 abstract "As the size of the Smart Grid (SG) grows, the economic significance of power generation, consumption and storage scheduling becomes more and more apparent. A proper scheduling for electricity generation, consumption and storage will also ensure the reliability of the SG and extend the operational lives of its constituent units. Besides, it can achieve economical and ecological benefits for the SG. In this work, we propose a multi-objective cooperative scheduling consisting of two main modules: (1) the Preference-based Compromise Builder and (2) the Multi-objective Scheduler. The Preference-based Compromise Builder aims at generating the best balance or what we call ‘the compromise’ between the preferences or associations of the sellers and the buyers that must exchange power simultaneously. Once done, the Multi-objective Scheduler aims at proposing a power schedule for the associations, in order to achieve three-dimensional benefits: economical by reducing the electricity costs, ecological by minimizing the toxic gas emissions, and operational by reducing the peak load of the SG and its components, and by increasing their comfort. Conducted experiments showed that the proposed algorithms provide convincing results." @default.
• W2767202176 created "2017-11-10" @default.
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• W2767202176 date "2019-01-01" @default.
• W2767202176 modified "2023-09-23" @default.
• W2767202176 title "Multi-objective cooperative scheduling: An application on smart grids" @default.
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• W2767202176 doi "https://doi.org/10.1016/j.aci.2017.10.005" @default.
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