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首页> 外文期刊>Journal of ambient intelligence and humanized computing >Multi agent system based on law of gravity and fuzzy logic for coalition formation in multi micro-grids environment
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Multi agent system based on law of gravity and fuzzy logic for coalition formation in multi micro-grids environment

机译：基于重力定律和模糊逻辑的多主体系统在多微电网环境下的联盟形成

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This paper presents an intelligent multi-agent system based on the law of gravity and fuzzy logic for the optimal management of the intra-MicroGrids energy. The aim is to overcome the weakness of the MicroGrid (MG) regarding the intermittent generation of its renewable source and its dependency to the main grid as the only reliable part in the power exchange. Taking into account that the power loss between each MG and the main grid is larger than that among the MGs, the aforementioned dependency causes high transfer loss. On the other hand, the failure of the single point of common coupling with the main grid makes the MG in a critical situation, especially when there is an internal lack in production. To deal with these problems, the proposed system allows the MGs which may be either generator or load to collaborate together in coalition form. So, the optimal energy distribution and power loss reduction are targeted by dynamically changing the size and the structure of coalitions of all participating MGs in the power exchange. Based on the law of gravity, the system allows the MGs that require energy to possibly specify the resources with the best energy offer and the lowest transfer loss. Besides and in order to deal with the multiple accesses to the same resources, a process based on fuzzy logic is made. Finally the JADE (JAVA Agent DEvelopment Framework) has been used and a comparison is made in order to show the impact of using the proposed system.
机译：本文提出了一种基于重力定律和模糊逻辑的智能多智能体系统，用于微电网内部能量的优化管理。目的是要克服微电网（MG）的缺点，即其可再生能源的间歇性发电及其对主电网的依赖性是电力交换中唯一可靠的部分。考虑到每个MG与主电网之间的功率损耗大于MG之间的功率损耗，上述依赖性导致高的传输损耗。另一方面，与主电网的单点公共耦合故障使MG处于危急状况，尤其是在内部生产不足的情况下。为了解决这些问题，建议的系统允许可能是发电机或负载的MG以联盟形式协作。因此，通过动态更改电力交换中所有参与的MG的联盟的规模和结构，可以实现最佳的能源分配和降低功耗的目标。基于重力定律，该系统允许需要能量的MG可以指定具有最佳能量提供和最低传输损耗的资源。除此之外，为了处理对同一资源的多次访问，进行了基于模糊逻辑的处理。最后，使用了JADE（JAVA代理开发框架）并进行了比较，以显示使用建议的系统的影响。

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