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Power grid vulnerability assessment against wildfires using probabilistic progression estimation model

机译:使用概率级数估计模型的针对野火的电网脆弱性评估

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Wildfires are natural or manmade disaster events that occur in forested and grassland ecosystems. Power transmission lines passing through these areas are in particular vulnerable to wildfires. The heat generated by the fire can increase the surface temperature of the overhead conductors in its vicinity. Extreme surface temperatures can lead to conductor annealing and permanent loss of tensile strength. To avoid this, the thermal rating of the at-risk lines should be dynamically adjusted, so that reduced loading of the line counteract the heat gained from the fire. However, this can affect the flow of power and dispatch of the generation units. The goal of this paper is to analyze the impact of a wildfire on the operation of a power grid. Presence of wind has a major effect on the behavior of the fire and its impact on the line. Higher winds cool down the conductor through convective heat transfer, but at the same time, move the fire front closer to the line, leading to exposure to more heat. Due to the randomness in wind speed and direction, the study presented here is based on probabilistic optimal power flow.
机译:野火是在森林和草原生态系统中发生的自然或人造灾难事件。通过这些区域的电力传输线特别容易受野火的影响。由火产生的热量可以增加其附近的架空导体的表面温度。极端表面温度可导致导体退火和永久性抗拉强度的损失。为了避免这种情况,应动态调整风险线的热额定值,从而减少了线路的负载抵消了火灾中获得的热量。但是,这可以影响生成单元的电力流量和调度。本文的目标是分析野火对电网运行的影响。风的存在对火的行为和对线路的影响产生重大影响。通过对流热传递,较高的风冷却导体,但同时,将火前更靠近线,导致接触更多的热量。由于风速和方向的随机性,这里提出的研究基于概率最佳功率流。

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