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Risk informed design modification of dynamic thermal rating system

机译:动态热额定值系统的风险告知设计修改

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Future grids will be operated much closer to their security limits due to the ever increasing power demands and the restrictions on land and space to build more transmission corridors. As one of the many smart grid technologies, the dynamic thermal rating (DTR) system of transmission lines offers the solution to increase line current capacity without infringing the conductor's maximum operating temperature. Hence, it has emerged as a popular solution for the aforementioned challenges. Owing to that, there is a strong need to assess the integrity of this technology. For this reason, this study presents a systematic framework for assessing the reliability and the risk of a DTR system. The research was carried out in two parts and is able to optimise the risk and the reliability (cost) of the DTR system. In addition, a weather estimation model is proposed to estimate the weather data when the DTR sensors are not functional. This is contrary to the existing literature which suggests that conservative assumptions be made. The results show that the proposed weather estimation model avoids overestimation of the DTR system risk.
机译:由于不断增长的电力需求以及对土地和空间的限制以建立更多的传输走廊,未来的电网将在更接近其安全极限的范围内运行。作为众多智能电网技术之一,输电线路的动态热额定值(DTR)系统提供了一种解决方案,可以在不损害导体最高工作温度的情况下增加线路电流容量。因此,它已成为上述挑战的流行解决方案。因此,强烈需要评估该技术的完整性。因此,本研究提出了一个评估DTR系统可靠性和风险的系统框架。该研究分为两个部分进行,能够优化DTR系统的风险和可靠性(成本)。另外,提出了一种天气估计模型,以在DTR传感器不起作用时估计天气数据。这与现有的文献相反,现有的文献提出了保守的假设。结果表明,所提出的天气估计模型避免了对DTR系统风险的过高估计。

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