【作者】 吴旭；

【导师】 张建华；

【作者基本信息】 华北电力大学（北京） ， 电力系统及其自动化， 2010， 硕士

【摘要】 本文将状态检修与大面积停电问题结合起来,提出一种基于状态检修(Condition Based Maintenance, CBM)的N-k故障分析方法。研究了针对连锁故障缓慢相继开断阶段的系统状态搜索法,应用功能组(Functional Group, FG)分解理论及相关改进后的搜索方法实现N-k故障的辨识。根据状态检修实时数据推算出设备当前故障率,将小概率事件近似原则和事件树分析法应用于电力系统的N-k故障研究中,建立了N-k故障概率的分析模型。基于概率优先排序的搜索策略并根据电网实际运行方式以及状态检修的监测情况实现了N-k故障路径的在线搜索及筛选。最后,利用VC++语言实现了所提方法,并以安阳电网的3个变电站为例进行仿真计算,验证了方法的正确性。更多还原

【Abstract】 Combining Condition-Based Maintenance (CBM) with large-area power-failure, an N-k contingency analysis method based on CBM is proposed. First, a search method for system state is studied, which aims at slow continual outage stage. By use of the theory of functional group decomposition and modified searching approach, N-k contingency identification is implemented. On the basis of real-time data of CBM, the current failure probability of equipments is calculated. Applying rare event approximation and event tree analysis technique to the study of N-k contingency, the failure probability model for N-k contingency is built. According to actual operation modes of power network and monitoring results of CBM, the online searching and screening of N-k contingency path is achieved, based on probability prioritization strategy. Finally, the proposed algorithm is realized by VC++ language. Taking three substations in Anyang power network for example, the correctness of the proposed method is verified.更多还原