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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：通过模糊逻辑和遗传算法克服智能电网中分布式发电运行变异性的在线自适应保护方案

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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：如今，现代电力网络现在可以双向运行，成为所有电网部分之间交换的矩阵，从此以后，消费者社区甚至可以成为生产者，网络自动化系统提供了智能电网的主要优势之一。要将分布式发电集成到智能电网中，需要更智能，更高效的安排和技术，以确保最大的便利性。因此，分布式发电和智能电网已经在研究和调查方面进行了实质性考虑，以取得更好的经济和环境收益。好处在于支持网络可靠性并提高供电效率和安全性。然而，在现有的网络配置中，对于这种发电单元应用使能技术缺乏信息。在本研究中，将人工智能方法应用于班加西中压配电网的案例研究中，将遗传算法和模糊规则库相结合，以更好地理解和研究这些使能技术对配电网的影响，并增强对称性和功能大量分布式一代的渗透下的智能电网的发展。

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