Abstract
In this work, we propose a multi-objective cooperative scheduling for Smart Grids (SG) consisting of two main modules: (1) the Preference-based Compromise Builder and (2) the Multi-objective Scheduler. The Preference-based Compromise Builder generates the best balance or what we call ‘the compromise’ between the preferences or associations of sellers and buyers that must exchange power simultaneously. Once done, the Multi-objective Scheduler proposes a power schedule for the associations, in order to achieve optimal benefits from different perspectives (e.g., 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.
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Notes
- 1.
A utility company is a company that engages in the generation and the distribution of electricity for sale generally in a regulated market.
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Salameh, K., Chbeir, R., Camblong, H. (2017). Multi-objective Cooperative Scheduling for Smart Grids. In: Panetto, H., et al. On the Move to Meaningful Internet Systems. OTM 2017 Conferences. OTM 2017. Lecture Notes in Computer Science(), vol 10573. Springer, Cham. https://doi.org/10.1007/978-3-319-69462-7_34
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DOI: https://doi.org/10.1007/978-3-319-69462-7_34
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