Abstract
The concept of distributed generation and renewable energy has increased the need for using Smartgrids which are electric micro-grids having intelligent characteristics that provide autonomy to the system not only to improve their operation but also to make it easier for users their management. The aim of this paper is to propose a fuzzy-based Multi-Agent Model to control a micro-grid by determining optimal operation states based on real-time process conditions and energy market dynamics. The Prometheus methodology is used for the MAS architecture design and development. The implementation of the system is carried out using Java, the JADE framework and the JFuzzyLogic library. Based on the proposed fuzzy MAS model, a prototype was implemented and validated through a case study. Results obtained demonstrate the effectiveness of this approach to automatically manage the states of a micro-grid when connected to external grid in a dynamic energy market environment. It is also possible to extend this application for different micro-grid applications involving other power generation, storage, and consumption capabilities.
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Acknowledgments
The research work presented in this paper was partially funded by the master’s studies Sapiencia scholarship offered to Santiago Gil in 2017.
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Gil, S., Salazar, O.M., Ovalle, D.A. (2018). A Fuzzy-Based Multi-agent Model to Control the Micro-grid Operation Based on Energy Market Dynamics. In: Bajo, J., et al. Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Communications in Computer and Information Science, vol 887. Springer, Cham. https://doi.org/10.1007/978-3-319-94779-2_26
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