Abstract
This paper has as main objective the performance evaluation of the Gravitational Search Algorithm for Demand Response programs applied to residential consumers. For this purpose, it was considered a model that describes the consumption and energy price, according to the loads present in a residence. This way, it is intended to minimize the cost of electricity for final consumers based on an optimized planning of their loads at different times. In addition, it will be considered a variable cost of electricity over time (hourly price). In this sense, the cost of electricity will be discretized throughout the day. Finally, the performance of the Gravitational Search Algorithm for the considered model will be evaluated.
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Acknowledgements
This paper was supported by FAPESP (grant number 2015/12599-0), CAPES and CNPq.
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Spavieri, G., Fernandes, R.A.S., Vale, Z. (2018). Gravitational Search Algorithm Applied for Residential Demand Response Using Real-Time Pricing. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_10
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DOI: https://doi.org/10.1007/978-3-319-61578-3_10
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