基于模糊理论的计及元件危险性因子的N-2故障快速筛选法

发布时间：2018-06-05 02:14

本文选题：N-故障检验 + 模糊理论　；参考：《电网技术》2017年04期

【摘要】：电网向大容量、高电压、长距离发展,使得电网规模日益扩大,电网故障的后果更为严重,电网的可靠性问题受到很大关注。在实际工程中,评估电力系统可靠性需要进行N-2故障检验,但此类计算相当复杂。对此,在模糊理论的基础上,提出了一种计及元件危险性因子的N-2故障快速筛选法,定义了元件危险性因子和N-2排序指标,通过调节其中的参数,可以在保证计算准确性的基础上,减少了需要检验的N-2组合数目,大大提高了计算效率。应用此方法对湖北省某地区工程实际电网和IEEE 39节点系统算例进行了N-2故障检验,并与其他N-2故障检验方法进行对比,验证了该方法的有效性。
[Abstract]:With the development of large capacity, high voltage and long distance power grid, the scale of power network is expanding day by day, the consequence of power network fault is more serious, and the reliability problem of power network is paid much attention. In practical engineering, N-2 fault test is needed to evaluate the reliability of power system, but this kind of calculation is quite complicated. On the basis of fuzzy theory, a fast fault screening method of N-2 considering element risk factor is proposed. The risk factor of component and the ranking index of N-2 are defined, and the parameters are adjusted. On the basis of ensuring the accuracy of calculation, the number of N-2 combinations that need to be tested is reduced, and the calculation efficiency is greatly improved. This method is used to test the N-2 fault of a practical power network and IEEE 39-bus system in Hubei province, and compared with other N-2 fault detection methods, the effectiveness of the method is verified.
【作者单位】：武汉大学电气工程学院;中国电力科学院;
【基金】：国家电网公司科技项目(521820140017)~~
【分类号】：TM732

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