对大量的停电事故案例进行详细的归纳分析,抽取其内部蕴含的相同特征信息,并以特征值为基本元素,采用数学集合方法表述停电应急预案和停电事件数学模型;给出停电应急预案层次化的分级分类方案,并在此基础上提出分级检索算法和改进的最近相邻算法相结合的检索策略;在未完全匹配情况下,给出相似度最大的预案,并结合建立的特征措施对照表形成停电应急预案。案例分析结果表明,所提方法能够对给定的停电事件快速匹配相应的预案,证明了该方法的有效性。
Based on the detailed summarization and analysis of massive power outage cases,their internal characteristic information is extracted and the mathematical aggregation method is applied to describe the power outage events by the mathematical model with the characteristic values as the essential elements. A hierarchical classification scheme of power outage events is given and the corresponding search strategy combining the classified search algorithm and the improved nearest neighbour algorithm is proposed. The most similar scenario will be given when the characteristic values are not completely matched and the countermeasures are intelligently generated according to the established table of characteristic measures. Results of case analysis show that,the given power outage event is quickly matched and the power recovery plan is intelligently generated ,verifying the effectiveness of the proposed method.