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ASSESSMENT OF THE RELIABILITY OF A DYNAMIC SMART GRID SYSTEM

机译:动态智能电网系统的可靠性评估

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One of the expectations from a smart grid is that it will be more efficient and reliable than a traditional power grid. The electric power distribution system is expected to change drastically. With the involvement of modern high-speed communication and computational applications, the speed with which one can monitor actions on a grid has increased. The incorporation of distributed renewable energy resources and storage systems have brought a new dynamic into this system. Smart grid technologies are expected to change the design and operating requirements of the electric power system, allowing current electricity grids to better incorporate renewable energy sources such as wind and solar power, backup distribution generators and advanced energy storage systems. To measure the reliability of such a system would require new tools and applications. This paper presents a new method of finding reliability and availability of the electric power distribution network; that is the ability to model the dynamics of the smart grid including a variation of weather conditions at different locations for the large-scale system. Dynamic reconfigurations of a smart grid and variable weather conditions create challenges in reliability modelling and analysis. To overcome these obstacles, a new approach has been developed - the variable weather Boolean logic driven Markov process.
机译:智能电网的期望之一是,它将比传统电网更高效,更可靠。配电系统有望发生巨大变化。随着现代高速通信和计算应用程序的参与,人们可以监视网格上的动作的速度已经提高。分布式可再生能源资源和存储系统的结合为该系统带来了新的活力。智能电网技术有望改变电力系统的设计和运行要求,从而使当前的电网更好地整合可再生能源,例如风能和太阳能,备用配电发电机和先进的储能系统。要测量这种系统的可靠性,将需要新的工具和应用程序。本文提出了一种寻找配电网可靠性和可用性的新方法。这是对智能电网动力学进行建模的能力,其中包括大型系统在不同位置的天气状况的变化。智能电网的动态重新配置和可变的天气条件给可靠性建模和分析带来了挑战。为了克服这些障碍,开发了一种新方法-可变天气布尔逻辑驱动的马尔可夫过程。

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