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On-line adaptive protection scheme to overcome operational variability of DG in smart grid via fuzzy logic and genetic algorithm

机译：在线自适应保护方案，通过模糊逻辑和遗传算法克服智能电网DG运行变异性

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Modern electricity networks nowadays can now operate in both directions to become a matrix of exchanges between all grid sections, henceforth consumer communities can even become producers, network automation systems afford one of the key benefits of the smart grid. Enabling the integration of Distributed Generation into smartgrids requires smarter and more efficient arrangements and technologies to ensure supreme convenience. Therefore, Distributed Generation and smartgrid have drawn substantial consideration in terms of research and investigation for better economic and environmental gains. The benefits are in terms of supporting the network reliability and increasing the efficiency and the security of electricity feeding. However, there is a lack of information in applying enabling technologies for such generation units in existing network configurations. In this study, artificial intelligence approaches were applied in a case study of Benghazi's medium-voltage distribution network, combining the methodology of GA and Fuzzy Rule base for better understanding and investigate the impact of these enabling techniques on Distribution Networks and enhancing the symmetry and functionality of smartgrids under the penetration of large share of Distributed Generations.
机译：现在，现代电网现在可以在两个方向上运作，成为所有网格部分之间交换的矩阵，从此将为消费者社区甚至可以成为生产者，网络自动化系统提供智能电网的主要优势之一。使分布式发电的集成进入SmartGrids需要更智能和更有效的安排和技术，以确保最高的便利性。因此，分布式发电和SmartGrid在研究和调查方面汲取了大量考虑，以获得更好的经济和环境收益。益处在支持网络可靠性和提高电力饲养的效率和安全性方面。然而，在现有网络配置中应用这种多种单位的支持技术缺乏信息。在这项研究中，在Benghazi的中压分配网络的情况下应用了人工智能方法，结合了GA和模糊规则基础的方法，以便更好地理解并调查这些能力技术对分发网络的影响，提高对称性和功能在普通分布代的普及中的SmartGrids。

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