【作者】 寇凌岳；

【导师】 艾欣；

【作者基本信息】 华北电力大学（北京） ， 电力系统及其自动化， 2008， 硕士

【摘要】 本文在2005年某区域网的BPA-Eurostag潮流数据转换的基础上,完成了BPA-Eurostag稳定及不对称故障计算数据的转换,充分理解了BPA和Eurostag的使用方法和模型,对两种软件模型及参数的转换在IEEE-5节点系统上进行了详细的验证。仿真结果表明:BPA-Eurostag模型及参数转换合理而准确。利用BPA及实际电网数据对大区互联电网进行了仿真研究,分析了大区域电网互联后引起系统暂态稳定水平下降的原因,得出了受端系统转动惯量增大对互联系统暂态稳定水平的负面影响。利用Eurostag进行连锁故障仿真,依据电网连锁故障的概率分析方法,按照历史统计规律对各继电保护和自动安全装置进行概率分配,并且建立连锁故障评价指标,应用FCM(Fuzzy C-means)算法对连锁故障样本进行分类及确定评价指标的权重系数,以此来判断随机因素组合对连锁故障的影响程度。更多还原

【Abstract】 In this paper, a BPA-Eurostag stability and asymmetric fault of data conversion is completed, on the basis of a regional network BPA-Eurostag power flow trend data conversion in 2005. Based on full appreciation of models and methods of both BPA and Eursotag, the results of models and data conversion between the two simulation software are validated in IEEE-5.The simulations of BPA and Eursotag indicate that BPA-Eurostag data conversion is reasonable and exact.Research on simulating regional power grid interconnected power network with BPA and the actual use of data, analyzing the reason which made the transient stability level of interconnected power network decreased, and testifying that the negative influence of the moment of inertia of receiving sub-system increasing.The last part is simulating cascading failures with Eurostag. It based on the probability method of cascading failures, according to the statistic of history dispatching probability for each protection relay and automatic safety device, therefore, establishing three evaluation indexes to evaluate cascading failures. Finally, adopting FCM (Fuzzy C-means) algorithm to evaluate the samples of cascading failures and determine the weight coefficient of each index, in order to estimate the degree of random factors combination influences cascading failures.更多还原