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Power Management in Microgrids: A Multi Agent Petri Nets Based Approach

Power Management in Microgrids: A Multi Agent Petri Nets Based Approach

Tarek Jellad, Khaled Taouil, Zied Chtourou
Copyright: © 2014 |Pages: 24
ISBN13: 9781466644502|ISBN10: 1466644508|EISBN13: 9781466644519
DOI: 10.4018/978-1-4666-4450-2.ch005
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MLA

Jellad, Tarek, et al. "Power Management in Microgrids: A Multi Agent Petri Nets Based Approach." Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications, edited by Pandian M. Vasant, IGI Global, 2014, pp. 141-164. https://doi.org/10.4018/978-1-4666-4450-2.ch005

APA

Jellad, T., Taouil, K., & Chtourou, Z. (2014). Power Management in Microgrids: A Multi Agent Petri Nets Based Approach. In P. Vasant (Ed.), Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications (pp. 141-164). IGI Global. https://doi.org/10.4018/978-1-4666-4450-2.ch005

Chicago

Jellad, Tarek, Khaled Taouil, and Zied Chtourou. "Power Management in Microgrids: A Multi Agent Petri Nets Based Approach." In Handbook of Research on Novel Soft Computing Intelligent Algorithms: Theory and Practical Applications, edited by Pandian M. Vasant, 141-164. Hershey, PA: IGI Global, 2014. https://doi.org/10.4018/978-1-4666-4450-2.ch005

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Abstract

Conventional power generation stations used to be centralized and located far from customers. The transport and distribution infrastructure incur power losses that are mainly due to cabling resistance. Distributed power generation resources located close to customers are sought as a solution to minimize transport power losses. They are also good alternatives in situations where connection to the grid is not possible due to geographical or economical reasons. Furthermore, the adoption of renewable energies as alternatives for the scarce fossil energy sources paves the way to more distributed energy production. These Distributed energy resources, when located in a limited region, can be interconnected with loads and eventually storages to form a microgrid. A microgrid can operate in off-grid, on-grid, or alternate between these modes while optimizing power quality and cost. Multi-Agent Systems (MAS) and Petri nets could be put into contribution for high level planning of energy exchanges within a microgrid. This strategy has been validated on the basis of a dynamic model for the simulation and optimization of power exchanges between different DERs.

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