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An Intelligent Method to Load Management of Microgrid Operation using Multi-Agent System

Manjunatha H. M., Karibasavaraju T. S., Shadaksharaiah Chandraiah, Arun Kumar P.

Abstract


The future power systems will be featured by microgrid systems capable of integrating generation, load, and storage assets into an autonomous power system. In this paper the design and development of a multiagent system for the control of microgrid is presented. Then, fuzzy logic based technique is described for achieving priority based load management of a microgrid.


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References


Garrity, T. F. (2009, March). Innovation and trends for future electric power systems. In 2009 Power Systems Conference (pp. 1-8). IEEE.

Kim, H. M., Kinoshita, T., & Lim, Y. J. (2011). Talmudic approach to load shedding of islanded microgrid operation based on multiagent system. Journal of Electrical Engineering and Technology, 6(2), 284-292.

Karimi, M., Mohamad, H., Mokhlis, H., & Bakar, A. H. A. (2012). Under-frequency load shedding scheme for islanded distribution network connected with mini hydro. International Journal of Electrical Power & Energy Systems, 42(1), 127-138.

Rajangam, K., Arunachalam, V. P., & Subramanian, R. (2012). Fuzzy logic controlled genetic algorithm to solve the economic load dispatch for thermal power station. European Scientific Journal, 8(7).

Oliveira, P., Pinto, T., Praça, I., Vale, Z., & Morais, H. (2013, June). Intelligent micro grid management using a multi-agent approach. In 2013 IEEE Grenoble Conference (pp. 1-6). IEEE.

Kato, T., Takahashi, H., Sasai, K., Lim, Y., Kim, H. M., Kitagata, G., & Kinoshita, T. (2013, July). Multiagent system for priority-based load shedding in microgrid. In 2013 IEEE 37th Annual Computer Software and Applications Conference Workshops (pp. 540-545). IEEE.


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