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首页> 外文期刊>Electric power systems research >Case study of the increase in capacity of transmission lines in the Chilean system through probabilistic calculation model based on dynamic thermal rating
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Case study of the increase in capacity of transmission lines in the Chilean system through probabilistic calculation model based on dynamic thermal rating

机译：基于动态热额定值的概率计算模型对智利系统输电线路容量增加的案例研究

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The usual practice in operators is to specify conductor thermal limits based on worst-case weather condition scenarios. However, given that environmental conditions change constantly, so does the ampacity of the conductor. This is why line thermal limitation should not be established in a conservative, fixed or invariable way. In the case of Chile, the Independent System Operator (ISO) establishes current-carrying capacity curves. Nevertheless, these are only a function of the ambient temperature in the presence of the sun. Such methodology is insufficient since it does not consider the effect of wind as the main conductor cooling mechanism.The main contribution of this paper is the development of a new approach for a probabilistic current calculation model based on dynamic thermal rating. This approach accounts for the spatial and temporal variation of weather conditions along a line. The approach maximizes the line's current capacity by employing an iterative process based on the span identification that limits the conductor ampacity. Furthermore, the approach includes temperature restrictions to avoid conductor mechanical problems.The model is applied in the Chilean system, particularly to the Maitencillo Nogales 220 kV transmission path. The new current limitations established by the proposed approach are compared to those set by the Chilean ISO and show significant increases in the current-carrying capacity of the lines and hence a better use of NCRE generation to lower production costs and CO2 emissions.
机译：操作员的常规做法是根据最坏的天气情况来指定导体的热极限。但是，鉴于环境条件不断变化，导体的载流量也会随之变化。这就是为什么不应以保守，固定或不变的方式建立线路热限制的原因。以智利为例，独立系统运营商（ISO）会建立载流量曲线。然而，这些仅是存在阳光下环境温度的函数。这样的方法是不充分的，因为它没有将风的影响视为主要的导体冷却机制。本文的主要贡献是开发了一种基于动态热额定值的概率电流计算模型的新方法。这种方法考虑了沿线天气状况的时空变化。该方法通过基于限制导体载流量的跨度识别的迭代过程来最大化线路的电流容量。此外，该方法还包括温度限制，以避免导体机械问题。该模型在智利系统中应用，特别是在Maitencillo Nogales 220 kV传输路径上。通过提议的方法建立的新的当前限制与智利ISO设定的限制进行了比较，显示出生产线的载流量显着增加，因此可以更好地利用NCRE发电来降低生产成本和CO2排放量。

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