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Key Transmission Section Identification Method for Large Scale Power Grid with Multiple Faults

机译:大型电网多故障关键传输段识别方法

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The distance for AC and DC dense transmission channels is very long, the transmission capacity is large, and the number of crossing points for 220kV and above are large. Multiple faults are prone to occur in extreme weather, natural disasters and so on, which seriously endangers the security of the power grid. The transmission sections are generally the weak links of power grid, and the rapid search of key transmission sections considering the influence of multiple faults is of great significance to the protection and control of power grid. The current research focuses on the influence of natural disasters on transmission equipment and transmission section search methods such as grid cut search and network contraction. But the impact of multiple faults on security and stability characteristics of power grid and the weak transmission sections haven't been analyzed. In this paper, a key transmission section identification method considering multiple preconceived faults is proposed. Multiple faults are divided into three types, which are multiple AC line faults, multiple DC line faults and AC / DC line mixed faults. And the impact of the multiple faults on power grid security is analyzed. Then, the key section identification method considering multiple fault disturbances and the weak section identification method after topology changes due to multiple faults are studied. The validity of the proposed method is verified in scenarios with multiple expected faults by using AC/DC hybrid power grid data. Identification of critical sections under multiple faults is an important basis for on-line risk early warning and decision-making of multiple faults in large power grid, which has important practical value.
机译:AC和DC密集传输通道的距离很长,传输容量很大,并且220kV及以上的交叉点数量很大。在极端天气,自然灾害等情况下,容易发生多种故障,严重危害电网安全。输电区段通常是电网的薄弱环节,考虑多个故障影响的关键输电区段的快速搜索对电网的保护和控制具有重要意义。当前的研究集中在自然灾害对传输设备和传输部分搜索方法的影响上,例如网格割开搜索和网络收缩。但是,尚未分析多种故障对电网安全和稳定特性以及弱电传输段的影响。提出了一种考虑多个先验故障的密钥传输区间识别方法。多种故障分为三种类型,即多种交流线路故障,多种直流线路故障和交流/直流线路混合故障。并分析了多种故障对电网安全的影响。然后,研究了考虑多个故障扰动的关键区域识别方法和拓扑结构由于多个故障而变化后的薄弱区域识别方法。通过使用AC / DC混合电网数据,在具有多个预期故障的情况下验证了该方法的有效性。多故障下关键区域的识别是大型电网在线风险预警和多故障决策的重要基础,具有重要的实用价值。

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