Fault diagnosis of power systems using fuzzy tissue-like P systems
Fault diagnosis of power systems using fuzzy tissue-like P systems
复制标题
利用模糊类组织P系统进行电力系统故障诊断
DOI：
10.3233/ica-170552
复制
发表时间：
2017-01-01
影响因子：
6.5
通讯作者：
Riscos-Nunez, Agustin
中科院分区：
文献类型：
--
作者：
Peng, Hong;Wang, Jun;Riscos-Nunez, Agustin
模糊类组织P系统（FTPS）是类组织P系统（TPS）的一种新变体。FTPS继承了TPS的优点，具有处理不完全和不确定信息的能力。FTPS非常适合于电力系统故障与保护装置之间因果关系的建模。提出了一种基于FTPS的正向推理算法，并讨论了相应的故障诊断模型。为了评估所提出的故障诊断模型的可用性和有效性，讨论和分析了传动系统故障诊断的三个案例，包括简单故障、复杂故障和具有不确定状态信息的多故障。算例结果表明，FTPS可以准确、有效地诊断电力系统故障区段。
Fuzzy tissue-like P systems (FTPS), as a new variant of tissue-like P systems (TPS), is proposed in this paper. FTPS inherits the advantages of TPS and has the ability of dealing with incomplete and uncertain information. FTPS is very suitable to model the causal relationship between a fault and its protective devices in power systems. A forward reasoning algorithm based on FTPS is developed, and then the corresponding fault diagnosis model is discussed. In order to evaluate the availability and effectiveness of the proposed fault diagnosis model, three case studies of fault diagnosis of a transmission system are discussed and analyzed, including simple fault, complex faults and multiple faults with uncertain status information. The results of case studies demonstrate that FTPS can be used to diagnose faulty sections in power systems accurately and effectively.